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Preprint ARTICLE | doi:10.20944/preprints202305.0936.v2

Ed Gerck

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: quantum computing; communication; tri-state+; algebraic; quantum; classical; coherence; law of the excluded middle; laser; wave-particle duality

Online: 29 May 2023 (10:59:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2009.v1

Proficient Optimization for Precise control of Rehabilitation Robots using Machine Learning Algorithms: PSO and Firefly Comparison

Kamran Joyo, Talha Khan, Kushsairy Kadir, Safdar Rizvi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Manipulator; DOF; upper extremity; Integral Squared Error; Integral Absolute Error; PSO; Firefly

Online: 29 May 2023 (10:39:41 CEST)

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Diversified techniques have been applied in many research papers for the optimization of rehabilitation robotic movements in order to maintain smoothness and accuracy. Smooth and precise control is needed necessarily for upper limb rehabilitation robotic applications having five degree of freedom. The preferred parameters which are used for the controlling were validated by mathematical model and these tuning parameters were optimized. Designing optimization algorithms to control complex physical robots has been a challenging task. In this study, a number of optimization techniques will be analyzed to determine the optimal parameters of a PID controller with a dynamic model of the upper limb rehabilitation system. For determining optimal control parameters for PID, there exists a number of tuning methods such as Zeigler Nichols and fuzzy logic which are classical methods. Swarm intelligence-based optimization algorithms are inspired by the behaviors of living things in nature. Several researchers have reported the optimal design of PID controller parameters using optimization techniques. The proposed control technique has been implemented on a 5-DOF RAX hardware and before any clinical trials, six healthy subjects went for trials under strict protocol. It has been discovered that the proposed control technique rejects the external unwanted disturbances as well as keeps the system stable under extreme perturbed and harsh conditions. In this research paper mathematical models have been validated to determine the PID parameters for the optimization. The comparative study is carried out with four different cost functions since a well-designed objective function leads to better performance of the system and indicates control design expectations. These objective functions are an integral squared error (ISE) and integral absolute error (IAE). In this research work, the effects of different cost functions on optimization techniques for controller parameters were analyzed. The performance of the controller with different cost functions has examined for robustness analysis. The cost function of particle swarm optimization, Firefly, Ant Bee Colony and Ant Colony optimization were developed for the better optimization results.

Preprint ARTICLE | doi:10.20944/preprints202305.1988.v1

Representation and Stability concerning General Nonic Functional Equation

Ick-Soon Chang, Yang-Hi Lee, Jaiok Roh

Subject: Computer Science And Mathematics, Analysis Keywords: stability; Hyperstability; nonic functional equation

Online: 29 May 2023 (07:09:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1617.v3

ADL: Anomaly Detection and Localization in Crowded Scenes Using Hybrid Methods

Hequn Wu, Bai Rui, Liu Li

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly detection; YOLACT; Foreground; PWC-Net; Tracking

Online: 29 May 2023 (07:08:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1973.v1

A Time Two-mesh Finite Difference Numerical Scheme for the Symmetric Regularized Long Wave Equation

Jingying Gao, Siriguleng He, Qingmei Bai, Jie Liu

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: SRLW equation; finite difference; time two-mesh; convergence analysis; conservation law

Online: 29 May 2023 (05:07:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1967.v1

A Multi-Scale Object Detector Based on Coordinate and Global Information Aggregation for UAV Aerial Images

Liming Zhou, Zhehao Liu, Hang Zhao, Yan-e Hou, Yang Liu, Xianyu Zuo, Lanxue Dang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: UAV images; multi-feature fusion; information aggregation; multi-scale object detection

Online: 29 May 2023 (04:52:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1954.v1

Action Recognition via Adaptive Semi-Supervised Feature Analysis

Zengmin Xu, Xiangli Li, Jiaofen Li, Huafeng Chen, Ruimin Hu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Nonmonotone line search; Two-point stepsize gradient; Grassmannian kernels

Online: 29 May 2023 (03:34:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0434.v2

The Spectrum of the Orthogonal Matrix with its Cube being Symmetric

Meixiang Chen, Zhongpeng Yang, Zhixing Lin

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: orthogonal matrix; cube; symmetric; trace; sum

Online: 26 May 2023 (15:59:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1925.v1

Role-Driven Clustering of Stakeholders: A Study of IoT Security Improvement

Latifah Almalki, Amany Alnahdi, Tahani Albalawi

Subject: Computer Science And Mathematics, Security Systems Keywords: IoT Security; Clustering; Stakeholders; Role; Decision-making

Online: 26 May 2023 (10:54:38 CEST)

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Preprint CONCEPT PAPER | doi:10.20944/preprints202305.1909.v1

A Geometric Interpretation of the Multivariate Gaussian Distribution and its Entropy and Mutual Information

Dah-Jing Jwo, Ta- Shun Cho, Amita Biswal

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: multivariate Gaussians; correlated random variables; visualization; entropy; relative entropy; mutual information

Online: 26 May 2023 (10:00:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1885.v1

Tubular Structure Segmentation via Multi-Scale Reverse Attention Sparse Convolution

Xueqiang Zeng, Yingwei Guo, Asim Zaman, Haseeb Hassan, Jiaxi Lu, Jiaxuan Xu, Xiaoqiang Miao, Huihui Yang, Anbo Cao, Yingjian Yang, Rongchang Chen, Yan Kang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: cerebrovascular; airway; tubular structures; multi-scale; reverse attention; sparse convolution

Online: 26 May 2023 (07:58:26 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202305.1540.v3

Revisiting the Political Biases of ChatGPT

Sasuke Fujimoto, Kazuhiro Takemoto

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ChatGPT; algorithm bias; political bias; large language model

Online: 26 May 2023 (07:37:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1878.v1

Randomly Stopped Sums with Generalized Subexponential Distribution

Jūratė Karasevičienė, Jonas Siaulys

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: subexponentiality; generalized subexponentiality; heavy tail; randomly stopped sum

Online: 26 May 2023 (07:33:51 CEST)

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Preprint REVIEW | doi:10.20944/preprints202305.1874.v1

Privacy-Preserving Blockchain Technologies

Dalton Cézane Gomes Valadares, Angelo Perkusich, Aldenor Martins Falcão, Chris Seline

Subject: Computer Science And Mathematics, Security Systems Keywords: Security; Trusted Execution Environments; Technical Analysis; Privacy Preservation

Online: 26 May 2023 (07:17:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1863.v1

A Server Deployment and Task Scheduling Framework in Multi-Edge Collaborative Computing

Piao Lv, KaiFan Wang, Zhen Zhang

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Mobile edge computing; Task scheduling; Edge server deployment; Edge server placement; Workload balancing; Latency

Online: 26 May 2023 (05:26:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1862.v1

A Research on Manipulator Path Tracking based on Deep Reinforcement Learning

Pengyu Zhang, Jie Zhang, Jiangming Kan

Subject: Computer Science And Mathematics, Robotics Keywords: path tracking; deep reinforcement learning; maximum entropy; inverse kinematics

Online: 26 May 2023 (05:24:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1810.v1

RisCO2: SoC Implementation and Performance Evaluation of RISC-V Processors for Low-Power CO₂ Concentration Sensing

Ricardo Núñez-Prieto, David Castells-Rufas, Lluís Terés-Terés

Subject: Computer Science And Mathematics, Hardware And Architecture Keywords: RISC-V; PULPino; NDIR CO2 sensors; FPGA; energy efficiency; signal demodulation; power consumption

Online: 25 May 2023 (11:42:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1775.v1

Power Measurement Using Adaptive Chirp Mode Decomposition for Electrical Vehicles Charging Load

Haili Ding, Rui Tian, Jinfei Wang, Xiaomei Yang

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: Electric vehicles; Power calculation; Harmonics; Non-stationary; Adaptive chirp mode decomposition.

Online: 25 May 2023 (08:47:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1762.v1

Extended Laplace Power Series Method for Solving Non-linear Caputo Fractional Volterra Integro-differential Equations

Abedel-Karrem Alomari, Mohammad Alaroud, Nedal Tahat, And Adel Almalki

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Fractional Volterra integro-differential equation; Laplace fractional power series; Caputo fractional derivative, Laplace transform.

Online: 25 May 2023 (08:06:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1755.v1

Detecting Underwater Concrete Cracks with Machine Learning: A Clear Vision of a Murky Problem

Ugnė Orinaitė, Viltė Karaliūtė, Mayur Pal, Minvydas Ragulskis

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Underwater; Crack detection; Machine learning; Transfer learning; Augmentation; Non-destructive testing; Safety; Reliability

Online: 25 May 2023 (07:40:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1752.v1

Tourism Support System to Utilize Virtual Reality Space Reflecting Dynamic Information in Real Time

Yuro Koga, Kayoko Yamamoto

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Tourism Planning, Support System; Web-Geographic Information Systems (Web-GIS), Virtual Reality (VR) Space; Dynamic Information; Social Media

Online: 25 May 2023 (07:25:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1746.v1

A New Data Processing Model for Distributed Urban Stagnant Analysis Based on Improved Yolov5 and Opencv

Minkai Wang, Yunzhong Jiang, Chenglin Li, Mingxiang Yang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: improved Yolov5; opencv; urban stagnant water,binocular ranging principle

Online: 25 May 2023 (05:49:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1741.v1

Gaming Tree Based Evaluation Model for Badminton Tactic Benefit Analysis and Prediction

Wenming Liu, Yifan Zhu, Wenxia Guo, Xinyuan Wang, Songkun Yu

Subject: Computer Science And Mathematics, Analysis Keywords: tactic analysis; gaming tree; nash equilibrium; badminton analysis and prediction; computer-based analysis

Online: 25 May 2023 (05:35:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0660.v2

Signal Design, Detection, and Identification Technology for Ground-Penetrating Communication Based on Ground Electrode Current Field

Jingang He, Zhong Su, Zhan Xu, Yaxing Zha, Xiaowen Wen, Xin Zhou

Subject: Computer Science And Mathematics, Information Systems Keywords: current field; ground-penetrating communication; signal design; detection and identification

Online: 25 May 2023 (05:08:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1731.v1

Composition of Probabilistic Preferences in Multicriteria Problems With Variables Measured in Likert Scales and Fitted by Empirical Distributions

Luiz Octávio Gavião, Annibal Parracho Sant´Anna, Gilson Brito Alves Lima, Pauli Adriano de Almada Garcia

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Probabilistic Preferences; CPP; Likert Scales; Empirical Distributions.

Online: 25 May 2023 (04:01:09 CEST)

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Preprint REVIEW | doi:10.20944/preprints202303.0296.v3

Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies

Abrar Morshed, Abdulla Al Shihab, Md Abrar Jahin, Md Jaber Al Nahian, Md Murad Hossain Sarker, Md Sharjis Ibne Wadud, Mohammad Istiaq Uddin, Muntequa Imtiaz Siraji, Nafisa Anjum, Sumiya Rajjab Shristy, Tanvin Rahman, Mahmuda Khatun, Md Rubel Dewan, Mosaddeq Hossain, Razia Sultana, Ripel Chakma, Sonet Barua Emon, Towhidul Islam, Mohammad Hussain

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: COVID-19; Deep learning; Artificial Intelligence; Ultrasound, Review

Online: 25 May 2023 (02:41:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0207.v17

On Duality Principles and Related Convex Dual Formulations Suitable for Local and Global Non-Convex Variational Optimization

Fabio Botelho

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: convex dual variational formulation; duality principle for non-convex local primal optimization; Ginzburg-Landau type equation

Online: 24 May 2023 (13:31:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1617.v2

ADL: Anomaly Detection and Localization in Crowded Scenes Using Hybrid Methods

Bai Rui, Hequn Wu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly detection; YOLACT; Foreground; PWC-Net; Tracking

Online: 24 May 2023 (04:58:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1693.v1

Blockchain-Enabled Quality Improvement Digital Twin for Clinical Trials

Reza Vatankhah Barenji, Reza Wbrahimi Hariry

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Digital twin; Clinical trials; Quality by Design; Blockchain technology; Drug development

Online: 24 May 2023 (04:46:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1689.v1

Risk-aware Distributionally Robust Optimization for Mobile Edge Computation Task Offloading in Space–Air–Ground Integrated Networks

Zhiyuan Li, Pinrun Chen

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Space-Air-Ground Integrated Network; Mobile Edge Task Offloading; Distributionally Robust Optimization; Conditional Value at Risk

Online: 24 May 2023 (04:29:42 CEST)

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As an emerging network paradigm, Space-Air-Ground integrated networks (SAGIN) has attracted the attentions from academia and industry. That is because SAGIN can implement seamless global coverage and connections among electronic devices in space, air, and ground spaces. Additionally, the shortages of computing and storage resources in mobile devices greatly affect the quality of experiences for intelligent applications. Hence, we devise to integrate SAGIN as an abundant resource pool into mobile edge computing environments (MEC). To facilitate efficient processing, we need to solve the optimal task offloading decisions. Different from the existing MEC task offloading solutions, we have to face some new challenges, such as the fluctuation of processing capability for an edge computing node, the uncertainty of the transmission latency caused by the heterogeneous network protocols, the uncertain amount of uploaded tasks during a period, and so on. In this paper, we firstly describe a task offloading decision problem in new challenge environments. But, we cannot use the standard robust optimization and stochastic optimization methods to obtain the optimal result under the uncertain network environments. In this paper, we propose the condition value at risk-aware distributionally robust optimization algorithm, named as CVAR-DRO, to solve the task offloading decision problem. The proposed CVAR-DRO method combines the distributionally robust optimization and the condition value at risk model for solving the optimal result. And then, We have evaluated our approach in simulation SAGIN environments with the confidence interval, the number of mobile task-offloading and the various parameters. We compare our proposed CVAR-DRO algorithm with the state-of-the-art algorithms, such as the standard robust optimization algorithm, the stochastic optimization algorithm, the DRO algorithm, and the brute algorithm. The experimental results show that CVAR-DRO can get a sub-optimal mobile task-offloading decision. Overall, CVAR-DRO is more robust than others to the new challenges mentioned above in SAGIN.

Preprint COMMUNICATION | doi:10.20944/preprints202305.1668.v1

IoT LoRaWAN-Based Tracking System in Egypt

Abdelrahman Ahmed, Mahmoud Elaasar, Ghada Abdelhady

Subject: Computer Science And Mathematics, Information Systems Keywords: Asset; Chirp Spread Spectrum (CSS); IoT; LoraWAN; Low-power wide area networks; Real-time; Tracking.

Online: 24 May 2023 (02:21:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1665.v1

Higher Monotonicity Properties for Zeros of Certain Sturm-Liouville Functions

Tzong-Mo Tsai

Subject: Computer Science And Mathematics, Analysis Keywords: Sturm-Liouville equations; differences; zeros; higher monotonicity; Bessel functions; orthogonal polynomials

Online: 24 May 2023 (01:54:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1662.v1

A Hybrid Approach to Representing Shared Conceptualization in Decentralized AI Systems: Integrating Epistemology, Ontology, and Epistemic Logic

Fateh Mohamed Ali Adhnouss, Husam M. Ali El-Asfour, Kenneth McIsaac, Idris El-Feghia

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Artificial intelligence (AI); Knowledge representation; Ontology; Epistemology; Conceptualization; Modal logic

Online: 23 May 2023 (14:20:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1659.v1

Mittag-Leffler Type Stability of BAM Neural Networks Modeled by the Generalized Proportional Riemann-Liouville Fractional Derivative

Ravi P. Agarwal, Snezhana Hristova, Donal O'Regan

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: BAM neural networks, Mittag-Leffler type stability, fractional differential equations, generalized proportional Riemann-Liouville fractional derivative.

Online: 23 May 2023 (13:19:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1658.v1

Employing Molecular Conformations for Ligand-based Virtual Screening with Equivariant Graph Neural Network and Deep Multiple Instance Learning

Yaowen Gu, Jiao Li, Hongyu Kang, Bowen Zhang, Si Zheng

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Virtual screening; Bioactivity prediction; Equivariant graph neural network; Multiple instance learning; Molecular conformation; Benchmark dataset

Online: 23 May 2023 (13:05:48 CEST)

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Ligand-based virtual screening (LBVS) is a promising approach for rapid and low-cost screening of potentially bioactive molecules in the early stage of drug discovery. Compared with traditional similarity-based machine learning methods, deep learning frameworks for LBVS can more effectively extract high-order molecule structure representations from molecular fingerprints or structures. However, the 3D conformation of a molecule largely influences its bioactivity and physical properties, and has rarely been considered in previous deep learning-based LBVS methods. Moreover, the relative bioactivity benchmark dataset is still lacking. To address these issues, we introduce a novel end-to-end deep learning architecture trained from molecular conformers for LBVS. We first extracted molecule conformers from multiple public molecular bioactivity data and consolidated them into a large-scale bioactivity benchmark dataset, which totally includes millions of endpoints and molecules corresponding to 954 targets. Then, we devised a deep learning-based LBVS called EquiVS to learn molecule representations from conformers for bioactivity prediction. Specifically, graph convolutional network (GCN) and equivariant graph neural network (EGNN) are sequentially stacked to learn high-order molecule-level and conformer-level representations, followed by attention-based deep multiple-instance learning (MIL) to aggregate these representations and then predict the potential bioactivity for the query molecule on a given target. We conducted various experiments to validate the data quality of our benchmark dataset, and confirmed EquiVS achieved better performance compared with 10 traditional machine learning or deep learning-based LBVS methods. Further ablation studies demonstrate the significant contribution of molecular conformation for bioactivity prediction, as well as the reasonability and non-redundancy of deep learning architecture in EquiVS. Finally, a model interpretation case study on CDK2 shows the potential of EquiVS in optimal conformer discovery. The overall study shows that our proposed benchmark dataset and EquiVS method have promising prospects in virtual screening applications.

Preprint ARTICLE | doi:10.20944/preprints202305.1654.v1

Finding IoT Anomaly using Rough Fuzzy Periodic Subspace Clustering Approach

Fokrul Alom Alom Mazarbhuiya, Mohamed Shenify

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly detection; Information system; High-dimensional data; Dominance relation; CORE of attribute set; Distance function; k-means algorithm

Online: 23 May 2023 (12:00:44 CEST)

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Finding anomalies in the real-time system is recognized as one of most challenging study in information security. It has so many applications like IoT, and Stock-Market. In any IoT system the data generated are real-time, and temporal in nature. Since due to the extreme exposure to Internet and interconnectivity of devices, the IoT systems often face issues like fraud, anomalies, intrusions etc. Discovering anomaly in such domain can be interesting. Clustering and rough set theory have been tried in many cases. Considering the time-stamp associated with IoT data, time-dependent patterns like periodic clusters can be generated which could be helpful for the efficient detection of anomalies by providing more in-depth analysis of the system. In this paper, a mixed method comprising of nano topology, a modified k-means clustering and an interval superimposition technique is used for finding fuzzy periodic clusters in the subspace generated by the nano topology. For every clusters there will be an associated sequence of time-intervals where it exists. The sequence time-intervals accompanying with each clusters may exhibit some remarkable patterns. For example, there may exist different types of periodicity namely yearly, monthly, daily, and hourly etc. For finding such fuzzy periodicity, an operation called interval-superimposition has been used. The time-intervals associated with each cluster are superimposed if they have reasonable overlapping. Each superimposed time-interval generates a fuzzy time-interval. The data instances are thought to be anomalous if they either belong to sparse clusters or don't belong to any clusters. The efficacy of the method can be assessed by means of both time-complexity analysis and comparative studies with existing clustering-based anomaly detection algorithms with a real-life and a synthetic dataset. It can been found experimentally that our method can extract anomaly with 98% of accuracy and it runs cubic time approximately.

Preprint ARTICLE | doi:10.20944/preprints202305.1653.v1

A Perturbed Milne’s Quadrature Rule for n-Times Differentiable Functions with L^p-Error Estimates

Ayman Hazaymeh, Rania Saadeh, Raed Hatamleh, Mohammad W. Alomari, Ahmad Qazza

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Milne’s rule; Simpson’s rule; Quadrature rule; Newton–Cotes formulae; Numerical integration; Error estimation

Online: 23 May 2023 (11:32:21 CEST)

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Preprint REVIEW | doi:10.20944/preprints202305.1649.v1

Sentiment Analysis for E-commerce Product Reviews: Current Trends and Future Directions

Salma Elzeheiry, Wael A. Gab-Allah, Nagham Mekky, Mohammed Elmogy

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: E-commerce; Sentiment analysis; Natural language processing; Deep learning; Spam; Product reviews.

Online: 23 May 2023 (10:58:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1636.v1

Hierarchical Network-Based Tracklets Data Association for Multiple Extended Targets Tracking With Intermittent Measurements

Kaiyi Jiang, Yiguo Li, TianLi Ma, Lin Li

Subject: Computer Science And Mathematics, Information Systems Keywords: Multiple extended targets; Data association; Tracklets; Min-cost network flow; Intermittent measurements

Online: 23 May 2023 (10:17:47 CEST)

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Preprint REVIEW | doi:10.20944/preprints202305.1635.v1

Ransomware Detection using Machine Learning: Survey

Amjad Raizza, Abdulmohsen Algarni

Subject: Computer Science And Mathematics, Computer Science Keywords: Machine Learning; Ransomware Techniques; Cybersecurity; Ransomware Detection; Ransomware Attacks

Online: 23 May 2023 (10:09:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1617.v1

ADL: Anomaly Detection and Localization in Crowded Scenes Using Hybrid Methods

Bai Rui, Hequn Wu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Anomaly detection; YOLACT; Foreground; PWC-Net; Tracking

Online: 23 May 2023 (08:22:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0067.v2

Analytical Insights Into the Spread of an Epidemic through Joint Modeling of Disease Dynamics and Attitudes towards Prophylactic Measures and Vaccines

Chénagnon Frédéric Tovissodé, Romain Lucas Glèlè Kakaï

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: COVID-19; Disease-behaviour dynamics model; Prophylactic attitude; Vaccination; Perceived disease prevalence

Online: 23 May 2023 (08:20:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1614.v1

Intriguing Self-optimization: Gradient Sign and Fractional Order Gradient

Sunfu Tan, Yifei Pu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Caputo fractional derivative; fractional order gradient; gradient sign; adversarial samples; DNNs

Online: 23 May 2023 (08:11:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1602.v1

The Convergence of Discrete Models for Nonlinear Schrödinger Equation in Dark Solitons Motion

Yazhuo Li, Qian Luo, Quandong Feng

Subject: Computer Science And Mathematics, Mathematics Keywords: Nonlinear schrödinger equation; Space discretization models; Time-space discretization models; Crank-Nicolson method; New-Difference method.

Online: 23 May 2023 (07:45:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1592.v1

Research on Forest Fire Detection Algorithm Based on Improved YOLOv5

Jianfeng Li, Xiaoqin Lian

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: forest fire detection; attention mechanism; staged object detection; deep learning

Online: 23 May 2023 (07:20:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1583.v1

Integration of the Wang & Mendel Algorithm into the Application of Fuzzy Expert Systems to Intelligent Clinical Decision Support Systems

Manuel Casal-Guisande, Jorge Cerqueiro-Pequeño, José-Benito Bouza-Rodríguez, Alberto Comesaña-Campos

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Design; Machine Learning; Expert Systems; Fuzzy Logic; Automatic Rule Generation; Information Fusion; Intelligent System; Decision-making; Wang–Mendel

Online: 23 May 2023 (05:36:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1569.v1

On Geometry of p-adic Coherent States and Mutually Unbiased Bases

Evgeny I. Zelenov

Subject: Computer Science And Mathematics, Mathematics Keywords: p-adic quantum theory; mutually; mutually unbiased bases; Hadamard matrix

Online: 23 May 2023 (04:42:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1555.v1

Drivers of Mobile Payments Acceptance: The Impact of Networks Externalities

QASIM AJAO, Lanre Gbenga Sadeeq, Adam Casady, Makhluk Hossain Prio

Subject: Computer Science And Mathematics, Information Systems Keywords: Nigeria; Smartphones; Network externalities; Mobile payment acceptance; Emerging technology; UTAUT; Empirical study; Africa

Online: 23 May 2023 (04:07:36 CEST)

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Preprint REVIEW | doi:10.20944/preprints202303.0296.v2

Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies

Abrar Morshed, Abdulla Al Shihab, Md Abrar Jahin, Md Jaber Al Nahian, Md Murad Hossain Sarker, Md Sharjis Ibne Wadud, Mohammad Istiaq Uddin, Muntequa Imtiaz Siraji, Nafisa Anjum, Sumiya Rajjab Shristy, Tanvin Rahman, Mahmuda Khatun, Fakrul Islam Javed, Md Rubel Dewan, Mosaddeq Hossain, Razia Sultana, Ripel Chakma, Sonet Barua Emon, Towhidul Islam, Mohammad Hussain

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: COVID-19; Deep learning; Artificial Intelligence; Ultrasound, Review

Online: 23 May 2023 (03:42:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1532.v1

Hierarchical Model-Based Deep Reinforcement Learning For Single-Asset Trading

Adrian Millea

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: deep reinforcement learning; trading; clustering; hierarchy; prediction; risk; bitcoin

Online: 22 May 2023 (16:24:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0207.v16

On Duality Principles and Related Convex Dual Formulations Suitable for Local and Global Non-Convex Variational Optimization

Fabio Botelho

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: convex dual variational formulation; duality principle for non-convex local primal optimization; Ginzburg-Landau type equation

Online: 22 May 2023 (14:32:04 CEST)

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Preprint SHORT NOTE | doi:10.20944/preprints202305.0825.v3

Continuum Mapping and S-base Space Solution to Coin Weighing Problem

Lizichen Chen

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Inspection of coins; Continuum mappings; S-base space

Online: 22 May 2023 (13:34:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1528.v1

Legendre Series Analysis and Computation via Composed Abel-Fourier Transform

Enrico De Micheli

Subject: Computer Science And Mathematics, Analysis Keywords: Legendre coefficients; Fourier coefficients; Legendre expansion; Abel transform

Online: 22 May 2023 (12:50:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1523.v1

Towards an Effective Service Allocation in Fog Computing

Rayan A. Alsemmeari, Mohamed Yehia Dahab, Badraddin Alturki, Abdulaziz A. Alsulami, Raed Alsini

Subject: Computer Science And Mathematics, Computer Science Keywords: IoT; IoMT; fog computing; service allocation; optimisation; Cloud Computing

Online: 22 May 2023 (12:23:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1522.v1

CDF-LS:Contrastive Network for Emphasizing Feature Differences with Fusing Long and Short-term Interest Features

Kejian Liu, Wei Wang, Rongju Wang, Xuran Cui, Liying Zhang, Xianzhi Yuan, Xianyong Li

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Recommendation system; Contrast learning; Deep Learning

Online: 22 May 2023 (11:55:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1519.v1

Crop Prediction Model using Machine Learning Algorithms

Ersin Elbasi, Chamseddine ZAKI, Ahmet E. Topcu, Wiem Abdelbaki, Aymen I Zreikat, Elda Cina, Ahmed Younes Shdefat, Louai Saker

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: crop prediction; machine learning; feature selection; artificial intelligent; smart farming

Online: 22 May 2023 (11:24:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1498.v1

Hypergraph Regularized Lp Smooth Nonnegative Matrix Factorization for Data Representation

Yunxia Xu, Linzhang Lu, Qilong Liu, Zhen Chen

Subject: Computer Science And Mathematics, Mathematics Keywords: hypergraph regularization; Lp smooth; nonnegative matrix factorization; data clustering

Online: 22 May 2023 (10:20:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1492.v1

Enhancing Industrial Cyber Security, Focusing on Formulating a Practical Strategy for Making Predictions Through Machine Learning Tools in Cloud Computing Environment

Zaheer Abbas, Seunghwan Myeong

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Cloud security; Cloud computing; machine learning; industrial cyber security

Online: 22 May 2023 (09:57:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1488.v1

Improving Bug Assignment and Developer Allocation in Soft-ware Engineering through Interpretable Machine Learning Models

Mina Samir Shenouda, Nada H. Sherief, Walid M. Abdelmoez

Subject: Computer Science And Mathematics, Computer Science Keywords: Explainability; Explainable AI; XAI; Recommendation; Bugs

Online: 22 May 2023 (09:42:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1472.v1

A Web GIS Platform to Modeling, Simulate and Analyze Flood Events: The RiverCure Portal

Alberto Rodrigues da Silva, Jacinto Estima, Jorge Marques, Ivo Gamito, Alexandre Serra, Leonardo Moura, Ana Margarida Ricardo, Luís Mendes, Rui M.L. Ferreira

Subject: Computer Science And Mathematics, Software Keywords: Water management; Flood simulation; Geographic information system (GIS); Web GIS platform; RiverCure Portal.

Online: 22 May 2023 (08:22:13 CEST)

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Flood events are becoming more severe, causing significant problems to human communities, including physical, psychological, and material damage. For both flood forecasting in emergency response situations and flood mapping, georeferencing and data curation are paramount in the context of prevention or preparedness. Hence, data display, data management, and articulation with numerical simulation results must occur on GIS platforms. Our research is motivated by recent advances in Web and GIS technologies, social sensing and high-performance computing, and an envisaged wider availability of remote sensing data. This paper presents and discusses an innovative Web GIS platform named "RiverCure Portal" or "RCP" for short. This platform combines observations and hydrodynamic modelling tools to support various stages of the flood risk management cycle, including operational response, emergency preparedness, and risk assessment. RCP is a multi-organisation, multi-context digital platform with flexible configuration features to define and support multiple sensor types and modelling options, satisfying the various needs of different organisations and stakeholders. In addition, this paper discusses the RiverCure Approach, which encompasses the following tasks directly supported by the RCP platform: defining the context and involved geometries, associating sensors to the context, pre-processing and generating the context mesh, defining the simulation event, running the simulation event, and analysing the results from the simulation event. Thus, the RCP streamlines and simplifies data analysis and simulation procedures to meet decision-makers' needs. The novelties discussed in this paper include the design and discussion of a Web GIS platform that allows (i) to manage flood data and results of simulations at several contextual levels by different stakeholders such as domain experts, decision-makers, researchers, or students; (ii) to process and curate sensed data obtained from physical and social sensors; and (iii) update the state and values of the parameters of simulation tools through continuous data assimilation techniques for forecasting purposes. Finally, this paper supports the explanation and discussion with a running example, "Águeda 2016 flood" event, which dataset is publicly available for further study and experimentation.

Preprint ARTICLE | doi:10.20944/preprints202305.1460.v1

An AI Enhanced Strategy of Service Offloading for IoV in Mobile Edge Computing

Peng Hong Yu, Zhang Xiao Song, Li Hong Wu, Xu Le Xi, Wang Xiao Dong

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: 6G; IoV; AI; edge computing; QoS; CNN; LSTM

Online: 22 May 2023 (04:41:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1455.v1

N-STGAT：Spatio-Temporal Graph Neural Network Based Network Intrusion Detection for Near-earth Remote Sensing

Yalu Wang, Jie Li, Wei Zhao, Zhijie Han, Hang Zhao, Lei Wang, Xin He

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: near-earth remote sensing; network intrusion; temporal features; spatio-temporal graph attention network

Online: 22 May 2023 (03:27:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0931.v2

Proof the Collatz Conjecture in Binary Strings

Jishe Feng

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Collatz conjecture; binary number; ultimately periodic; chaos

Online: 19 May 2023 (16:16:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0207.v15

On Duality Principles and Related Convex Dual Formulations Suitable for Local and Global Non-Convex Variational Optimization

Fabio Botelho

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: convex dual variational formulation; duality principle for non-convex local primal optimization; Ginzburg-Landau type equation

Online: 19 May 2023 (08:55:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1393.v1

Agriculture Named Entity Recognition - Towards FAIR, Reusable Scholarly Contributions in Agriculture

Jennifer D’Souza

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: information extraction; named entity recognition; natural language processing; dataset; sequence labeling; scholarly knowledge graphs; open research knowledge graph

Online: 19 May 2023 (07:33:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0321.v2

OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms

Aleksei Zhdanov, Paul Constable, Sultan Mohammad Manjur, Anton Dolganov, Hugo F. Posada-Quintero, Aleksander Lizunov

Subject: Computer Science And Mathematics, Signal Processing Keywords: biomedical research; electroretinography; electroretinogram; ERG; electrophysiology

Online: 19 May 2023 (07:16:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1376.v1

End-to-End Multimodal Sensor Dataset Collection Framework for Autonomous Vehicles

Junyi Gu, Artjom Lind, Tek Raj Chhetri, Mauro Bellone, Raivo Sell

Subject: Computer Science And Mathematics, Robotics Keywords: multimodal sensors; autonomous driving; dataset collection framework; sensor calibration and synchronization; sensor fusion

Online: 19 May 2023 (04:33:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1363.v1

GPR Target Recognition Based on Improved YOLOv3-SPP

Yunjie Zhong, Kang Li, Site Mo, Xing Liu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: YOLOv3-SPP; ground-penetrating radar; EIOU; target detection

Online: 19 May 2023 (03:09:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1356.v1

On Nearly Sasakian and Nearly Kähler Statistical Manifolds

Siraj Uddin, Esmaeil Peyghan, Leila Nourmohammadifar, Rawan Bossly

Subject: Computer Science And Mathematics, Mathematics Keywords: Information geometry; nearly Kähler statistical manifold; nearly Sasakian statistical manifold

Online: 18 May 2023 (15:13:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1354.v1

A Dynamic Model of Profit Maximization for a Carsharing Services: Astana, Republic of Kazakhstan

Beibut Amirgaliyev, Oleksandr Kuchanskyi, Yurii Andrashko, Didar Yedilkhan

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: carsharing; dynamic model; discrete optimization; tessellation; profit maximization

Online: 18 May 2023 (15:01:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1330.v1

Optimal Control of Discrete Time-varying System with Multiple Delays and Multiplicative Noises

Qiyan Zhang, Chunyang Sheng, Xiao Lu, Haixia Wang

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: LQG control; multiple delays; discrete time-varying system; multiplicative noises

Online: 18 May 2023 (10:32:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1323.v1

Deep Image Analysis Methods for Microalgae Identification

Jeffrey Soar, Oh Shu Lih, Loh Hui Wen, Aletha Ward, Ekta Sharma, Ravinesh Deo, Prabal Datta Barua, Ru-San Tan, Eliezer Rinen, U Rajendra Acharya

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: microalgae; artificial intelligence; deep learning; sustainability

Online: 18 May 2023 (10:12:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1310.v1

Block-Centered Finite Difference Methods for Fourth-Order Parabolic Equations

Taixiu Zhang, Zhe Yin, Ailing Zhu

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: fourth-order parabolic equation; block-centered finite difference methods; stability; error estimates; numerical analysis

Online: 18 May 2023 (09:27:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1306.v1

Field Complete Coverage Path Planning Based on Improved Genetic Algorithm for Transplanting Robot

Xizhi Wu, Jinqiang Bai, Fengqi Hao, Guanghe Cheng, Yongwei Tang, Xiuhua Li

Subject: Computer Science And Mathematics, Robotics Keywords: Improved genetic algorithm; Complete coverage path planning; Autonomous agricultural robot

Online: 18 May 2023 (08:47:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202303.0420.v7

A Common Approach to Three Open Problems in Number Theory

Apoloniusz Tyszka

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Brocard's problem; Brocard-Ramanujan equation x!+1=y^2; composite Fermat numbers; composite numbers of the form 2^(2^n)+1; Erd\"os' equation x(x+1)=y!

Online: 18 May 2023 (08:25:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0282.v2

Coastal Wave Modeling and Forecasting with LSTM Optimization For Sustainable Energy Harvesting

Zaharaddeeen Karami Lawal, Hayati Yassin, Daphne Teck Ching Lai, Azam Che Idris

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Numerical methods; Hyperparameters optimization; Ocean energy; Sustainable Energy; Recur-rent neural network (RNN); Time series forecasting; Sustainability and environmental man-agement

Online: 18 May 2023 (07:09:21 CEST)

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Coastal wave modeling and forecasting are essential in oceanography, sustainable marine energy, and ocean engineering. Precise forecasting of wave speed and direction are crucial for offshore operations, marine energy, risk management, environmental management, coastal and sustainable maritime management. The coastline of Brunei Darussalam can generate between 15 and 126 Giga Watt of wave energy. In this experimental research, we used two numerical approaches, the finite difference, and spectral element methods, to model and simulate wave speed and direction. We calculated the mean error between numerical and analytical solutions. We proposed a novel, promising, univariate time series forecasting model by combining the Long Short-Term (LSTM) with KerasTuner hyperparameters tuning and optimization techniques. This method helps us to improve the accuracy and efficiency of time-series forecasting.. The experimental data was computed from high-precision Acoustic Doppler Current Profiler (ADCP) sensor data. This research is part of the preliminary feasibility analysis of wave energy production in Brunei Darussalam and net zero commitment for a sustainable environment. Seven independent forecast experiments were performed for wave speed and direction in degree and radian units for 1, 3, 6, 8, 10, 12, and 24 hours. Mean squared error (MSE) was adopted as a metric for both training and testing. The experimental results reveal that the wave speed forecast has the lowest MSE compared to direction, regardless of the unit of measure, but has a longer duration. In addition, the direction forecast in the degree unit has the lowest errors compared to the unit of radians; the latter has a longer running time than the former. The model has delivered optimal results throughout the experiments with minor training and test errors. We conducted a thorough evaluations on two benchmark time series datasets, which include the study dataset and air quality index dataset, to validate the performance of the proposed model with other models. The proposed model outperforms cutting-edge forecasting models, such as the conventional LSTM, ARIMA, and Prophet. The model has the slightest forecast error compared to the existing literature’s result.

Preprint REVIEW | doi:10.20944/preprints202305.1282.v1

Investigation on Perceptual-Aware Optimization for Single Image Super Resolution on Embedded Systems

Khanh Hung Vu, Duc Phuc Nguyen, Duc Dung Nguyen, Hoang-Anh Pham

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Single-Image Super-Resolution (SISR); Deep Learning; Quantization; Network Pruning; Knowledge Distillation

Online: 18 May 2023 (07:06:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1245.v1

The Impact of Irrationals on the Range of Arctan Activation Function for Deep Learning Models

Talya Tümer-Sivri, Nergis Pervan-Akman, Ali Berkol

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep neural networks; Activation functions; Multiclass classification; Time-Series prediction; Reuters data; Energy trade value

Online: 17 May 2023 (11:11:21 CEST)

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Preprint SHORT NOTE | doi:10.20944/preprints202305.0825.v2

Continuum Mapping and S-base Space Solution to Coin Weighing Problem

Lizichen Chen

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Inspection of coins; Continuum mappings; S-base space

Online: 17 May 2023 (10:46:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1238.v1

Low-Code Machine Learning Platforms: A Fastlane to Digitalization

Krishna Raj Raghavendran, Ahmed Elragal

Subject: Computer Science And Mathematics, Information Systems Keywords: low-code; no-code; machine learning; auto ML; ML platform; data scientist scarcity; projects overruns

Online: 17 May 2023 (10:46:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1228.v1

Classification of Appearance Quality of Red Grape Based on Transfer Learning of Convolution Neural Network

Zhihua Zha, Dongyuan Shi, Xiaohui Chen, Hui Shi, Jie Wu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: grape; Appearance quality; Classification; Convolutional neural network; Transfer learning; Support vector machine

Online: 17 May 2023 (10:28:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0833.v2

On the Applicability of Quantum Machine Learning

Sebastian Raubitzek, Kevin Mallinger

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: quantum machine learning; Variational Quantum Circuit; Quantum Kernel Estimator; Qiskit; Ridge; Lasso; XGBoost; LightGBM; CatBoost; classification; quantum computing; boost classifiers; neural networks

Online: 17 May 2023 (10:24:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1198.v1

Heavy-Tailed Probability Distributions: Some Examples of Their Appearance

Lev b. Klebanov, Yulia V. Kuvaeva, Svetlozar T Rachev

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: heavy-tailed distributions; Pareto law; Lotka law; Zipf law; probability generating function.

Online: 17 May 2023 (05:41:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1191.v1

Technologies Supporting Screening Oculomotor Problems: Challenges for Virtual Reality

Are Dæhlen, Ilona Heldal, Qasim Ali

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Eye-tracking; Head Mounted Display; Presence; Immersiveness; Oculomotor Dysfunction

Online: 17 May 2023 (05:11:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1187.v1

Graph Algebras and Derived Graph Operations

Uwe Wolter, Tam T. Truong

Subject: Computer Science And Mathematics, Logic Keywords: Graph operation; graph algebra; graph term algebra; Lawvere theory; derived graph operation; graph operation expression; universal graph algebra; string diagrams

Online: 17 May 2023 (04:46:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0051.v13

Duality Principles and Numerical Procedures for a Large Class of Non-convex Models in the Calculus of Variations

Fabio Botelho

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Duality theory; non-convex analysis; numerical method for a non-smooth model

Online: 17 May 2023 (04:18:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1175.v1

Small Values and Chung's Laws of the Iterated Logarithm for Spatial Surface of Operator Fractional Brownian Motion

Wensheng Wang

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: operator fractional Brownian motion; small ball probability; operator self-similarity; Chung's law of the iterated logarithm

Online: 17 May 2023 (03:38:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1173.v1

Dynamic Reconfiguration to Optimize Energy Production on Moving Photovoltaic Panels

Salvador Merino, Javier Martinez, Francisco Guzman, Juan de Dios Lara, Rafael Guzman, Francisco Sanchez, Juan Ramón Heredia Larrubia, Mariano Sidrach de Cardona

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Photovoltaic panels; energy efficiency; graph theory; Dijkstra; transport means

Online: 17 May 2023 (03:15:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0955.v3

Decaying Turbulence as a Fractal Curve

Alexander Migdal

Subject: Computer Science And Mathematics, Analysis Keywords: Turbulence; Fractal; Anomalous dissipation; Fixed point; Velocity circulation; Loop Equations

Online: 16 May 2023 (11:57:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1132.v1

SG-Det: Shuffle-GhostNet-based Detector for Real-Time Maritime Object Detection in UAV Images

Lili Zhang, Ning Zhang, Rui Shi, Gaoxu Wang, Yi Xu, Zhe Chen

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: object detection; UAV images; lightweight network; maritime search and rescue

Online: 16 May 2023 (09:03:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1118.v1

The Recursive Structures of Manin Symbols over $\mathbb{Q}$, Cusps and Elliptic Points on $X_0(N)$

SanMin Wang

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: modular curve; elliptic curve; recursive structure; Manin's symbols over $\mathbb{Q}$; cusps; elliptical points; algorithmic number theory

Online: 16 May 2023 (07:23:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1115.v1

A Real-Time Lightweight Detection Algorithm for Deck Crew and the Use of Fishing Nets based on Improved YOLOv5s Network

Wang Jiaming, Yin Xiangbo, Li Guodong

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: YOLOv5s; deck crew detection; fishing net detection; deep learning model lightweight

Online: 16 May 2023 (07:18:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1083.v1

LogBD: A Log Anomaly Detection Method Based on Pre-trained Models and Domain Adaptation

Le Deng, Shuxian Liu, Huan Xu, Wei Wang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: log anomaly detection; pre-trained models; domain adaptation

Online: 16 May 2023 (04:49:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1077.v1

A New Visualisation and Analysis Method for a Convolved Representation of Mass Computational Experiments with Biological Models

Alexandra I. Klimenko, Diana A. Vorobeva, Sergey A. Lashin

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: visualization; dynamic regime; mathematical model; dynamic time warping; computational experiment

Online: 16 May 2023 (04:12:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1075.v1

Infrared Dim and Small Target Detection Based on Background Prediction

Jiankang Ma, Haoran Guo, Shenghui Rong, Junjie Feng, Bo He

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Dim and small target detection; background prediction; image inpainting; Region Proposal Network (RPN)

Online: 16 May 2023 (03:59:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1065.v1

A ResNet-based Audio-visual Fusion Model for Piano Skill Evaluation

Xujian Zhao, Yixin Wang, Xuebo Cai

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Multimodal Machine Learning; Automated Piano Skill Evaluation; Residual Network

Online: 16 May 2023 (02:06:02 CEST)

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With the rise of piano teaching in recent years, many people have joined the team of piano learners. However, the expensive cost of manual instruction and the unique one-on-one teaching model have made piano learning an extravagant event. Most existing approaches based on the audio modality aim to evaluate piano players' skills. Unfortunately, these methods ignored the information contained in the video, which led to a one-sided and simplistic evaluation of the piano player's skills. More recently, multimodal-based methods are proposed to assess the skill level of piano players using both video and audio information. However, existing multimodal approaches use shallow networks to extract video and audio features, which are deficient in extracting complex spatio-temporal and time-frequency features from piano performance. Furthermore, the fingering and the pitch-rhythm information of the piano performance is contained in the spatio-temporal and time-frequency features, respectively. In the paper, we propose a ResNet-based audio-visual fusion model that combines video and audio features to assess the skill level of piano players. Firstly, ResNet18-3D is used as the backbone network for our visual branches, which can extract feature information from the video data. Then, we consider ResNet18-2D as the backbone network of the aural branch and extract the feature information from the audio data. The extracted video features are fused with the audio features to generate multimodal features for the final piano skill evaluation. The experimental results on the PISA dataset show that our proposed audio-visual fusion model, with a validation accuracy of 70.80%, outperforms the state-of-the-art methods in both performance and efficiency. Then, we also explore the impact of different layers of ResNet on model performance, and the experimental results show that the audio-visual fusion model dealing with the piano skill assessment problem can make full use of both feature information when the number of video features is close to the number of audio features.

Preprint ARTICLE | doi:10.20944/preprints202305.0955.v2

Decaying Turbulence as a Fractal Curve

Alexander Migdal

Subject: Computer Science And Mathematics, Analysis Keywords: Turbulence; Fractal; Anomalous dissipation; Fixed point; Velocity circulation; Loop Equations

Online: 15 May 2023 (13:47:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1047.v1

Bridging History with AI: A Comparative Evaluation of GPT- 3.5, GPT-4, and Google-BARD in Predictive Accuracy and Fact- Checking

Davut Emre Tasar, Ceren Öcal Taşar

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Artificial Intelligence; Large Language Models; GPT-3.5; GPT-4; Google-BARD; Historical Fact-Checking; Distance to Reality; History; AI in Education; Gap Bridging

Online: 15 May 2023 (12:53:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1037.v1

Bayesian Estimations of Shannon Entropy and Rényi Entropy of Inverse Weibull Distribution

Haiping Ren, Xue Hu

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Inverse Weibull distribution; symmetric entropy loss function; Rényi entropy; Bayesian estimation; Lindley approximation

Online: 15 May 2023 (11:14:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1031.v1

Combining Computer Vision, Artificial Intelligence and 3D Printing in Wheelchair Design Customization: The Kyklos 4.0 Approach

Mahmoud Gharra, Yacine Rebahi, Luca Rizzi, Ilias Zournatzis

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Additive manufacturing; Artificial intelligence; Design customisation; Wheelchair; Footrest; Kyklos 4.6; Circular economy

Online: 15 May 2023 (10:48:22 CEST)

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Computer Science and Mathematics