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Preprint ARTICLE | doi:10.20944/preprints202410.1397.v1

Overview of Clustering Techniques: From k-Means to Spectral Methods

Richard Murdoch Montgomery

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Clustering; k-Means; k-Medoids; Self-Organizing Maps; Kohonen Networks; Fuzzy C-Means; Hierarchical Clustering; Spectral Clustering; Unsupervised Learning; Data Analysis

Online: 17 October 2024 (14:43:31 CEST)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202410.1261.v1

Query Based Construction of Chronic Disease Datasets

Vuong M. Ngo, Geetika Sood, Patricia Kearney, Fionnuala Donohue, Dongyun Nie, Mark Roantree

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Record linkage; Federated healthcare database; healthcare queries; demonstration system

Online: 16 October 2024 (11:40:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.0811.v1

Travel Sales Problem: Evolutionary Algorithms and Complex Networks

Victor Andres Bucheli, Mauricio Gaona, Oswaldo Solarte Pabón

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Travel Sales Problem; Evolutionary Algorithms; Complex Networks; Regular graphs

Online: 11 October 2024 (03:10:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2053.v5

Note for the P versus NP problem (II)

Frank Vega

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Complexity classes; Boolean formula; Graph; Completeness; Polynomial time

Online: 7 October 2024 (11:25:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2053.v4

Note for the P versus NP problem (II)

Frank Vega

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Complexity classes; Boolean formula; Graph; Completeness; Polynomial time

Online: 5 October 2024 (16:41:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2053.v3

Note for the P versus NP problem (II)

Frank Vega

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Complexity classes; Boolean formula; Graph; Completeness; Polynomial time

Online: 30 September 2024 (15:17:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2053.v2

Note for the P versus NP problem (II)

Frank Vega

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Complexity classes; Boolean formula; Graph; Completeness; Polynomial time

Online: 29 September 2024 (11:14:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.2053.v1

Note for the P versus NP problem (II)

Frank Vega

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Complexity classes; Boolean formula; Graph; Completeness; Polynomial time

Online: 26 September 2024 (07:44:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1877.v1

Enhancing Data Compression: Recent Innovations in LZ77 Algorithms

Aaron Hong, Christina Boucher

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: LZ77; Data compression; Data structures; suffix Array; Burrows Wheeler Transform

Online: 25 September 2024 (17:49:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1219.v1

Improvement of Electric Fish Optimization Algorithm for Standstill Label Combined with Levy Flight Strategy

Wangzhou Luo, Hailong Wu, Jiegang Peng

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Electric Fish Optimization Algorithm; Meta-heuristic Algorithm; Levy Flight; Standstill Label; Local Optimum

Online: 16 September 2024 (10:53:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1631.v2

Solving NP-Complete Problems Efficiently

Frank Vega

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: complexity classes; Boolean formula; graph; completeness; polynomial time

Online: 13 September 2024 (05:21:18 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.0531.v1

A Scoping Review of Genetic Algorithms in Serious Games: Applications, Challenges, and Future Directions

Vrushank Vaghani, Kiemute Oyibo

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Mnemonics; Genetic Algorithms; Serious Games; Evolutionary Computation; Game Design; Optimization; Adaptive Learning; Personalized Learning; Evolutionary Algorithms

Online: 6 September 2024 (12:10:14 CEST)

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The integration of Genetic Algorithms (GAs) into Serious Games (SGs) has gained traction as a method to optimize game mechanics and personalize user experiences. While GAs are well-known for their effectiveness in solving complex optimization problems, their application in SGs remains relatively under-explored. This review aims to address this gap by systematically mapping the existing literature on the intersection of these two fields. The primary objective of this scoping review is to identify and synthesize the existing research on the application of GAs in SGs, with a focus on understanding the current state of the field, identifying common applications, challenges, and potential future directions. The review includes studies published in English that focus on the use of GAs within SGs. The search encompassed articles from academic journals and conference proceedings without restrictions on publication dates. Exclusion criteria included studies that did not specifically address the integration of GAs in SGs. A systematic search was conducted in databases such as ACM Digital Library, Web of Science, Scopus and Inspec in July 2024. The search terms used included "genetic algorithm," "evolutionary algorithm," "computational algorithm," and "serious games." Unpublished data and articles were not considered. Data were charted using a PRISMA flowchart developed by the author VV. Key categories for data extraction included study objectives, methods, outcomes, type of study and GA used and the specific applications of GAs in SGs. Data charting was conducted independently by two reviewers, with disagreements resolved through discussion and consensus. The search identified 154 studies, of which 23 met the inclusion criteria. The included studies highlight the diverse applications of GAs in SGs, ranging from optimizing game scenarios to personalizing learning experiences. Challenges identified include the computational complexity of GAs and difficulties in their integration into existing game frameworks. The findings of this review suggest that while the use of GAs in SGs is a promising area of research, it remains in its nascent stages. Future research should focus on addressing the technical challenges of integrating GAs into SGs and exploring their application across a wider range of game genres and educational contexts. Limitations of the review include the potential for publication bias and the exclusion of non-English language studies.

Preprint ARTICLE | doi:10.20944/preprints202408.2200.v1

A Powerful Approach to improve Link Prediction Accuracy in Directed Social Networks based on Ensemble Learning Models and Advanced Feature Extraction Techniques

Sheroz Khan, Mohamed Badiy, Fatima Amounas, Mourade Azrour, Abdullah Alnajim, Abdulatif Abdulatif

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Link prediction; hyperparameter tuning; feature extraction; ensemble learning models; directed networks

Online: 30 August 2024 (11:07:18 CEST)

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Link prediction is a significant field in network science, which focuses on predicting the probability of the existence or formation of a link between nodes in a social network based on currently observed connections. The effectiveness of traditional algorithms can vary depending on the type of network, making some methods more suitable than others for specific scenarios. Recently, several efficient link prediction algorithms have been developed, demonstrating robust results in both prediction accuracy and interpretability. However, existing research has not clearly established the relationship between network characteristics and link creation mechanisms for community influence analysis and anomaly detection. The ability to predict complex networks with diverse features still requires further investigation. In light of this, we introduce a novel framework designed to combine the best features of different link prediction algorithms when applied to the network, with the aim of achieving more reliable predictions about how networks will evolve. According to the proposed framework, we first focus on the feature extraction stage. During this phase, we systematically identify and extract a comprehensive set of features from the network before moving onto the classification phase. Here, we utilize state-of-the-art ensemble learning models to assess and classify potential links within the network. By training our machine learning models on the extracted features, we can effectively predict whether a particular link is likely to form (positive link) or unlikely to form (negative link). The ML models were trained and evaluated using two datasets: Twitch and Facebook. Results: Additionally, we assessed their performance on these datasets by conducting specific preprocessing and hyperparameter tuning steps. The final prediction model achieves AUC values between 94% and 99.3%. This research contributes significantly to efforts aimed at enhancing link prediction in dynamic socisal network contexts, providing valuable insights into the effectiveness of different ML algorithms in predicting future connections and enhancing our understanding of network dynamics.

Preprint ARTICLE | doi:10.20944/preprints202408.1631.v1

Solving NP-Complete Problems Efficiently

Frank Vega

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Complexity classes; Graph; Polynomial time; Boolean formula

Online: 22 August 2024 (11:00:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0700.v2

A Structural Approach for the Concurrent Teaching of Introductory Propositional Calculus and Set Theory

Osvaldo Skliar, Sherry E. Gapper, Ricardo E. Monge

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: logic and mathematics instruction; classical propositional logic; set theory; isomorphism

Online: 15 August 2024 (08:53:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0700.v1

A Structural Approach for the Concurrent Teaching of Introductory Propositional Calculus and Set Theory

Osvaldo Skliar, Sherry E. Gapper, Ricardo E. Monge

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: logic and mathematics instruction; classical propositional logic; set theory; isomorphism

Online: 9 August 2024 (10:26:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0352.v1

Next-Generation Block Modeling for Complex Networks

Lekshmi S Nair, Jo Cheriyan, Swaminathan J, Barna Cornel

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: block formation; multilayer networks; network analysis; link prediction; information dissemination

Online: 6 August 2024 (12:23:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2229.v1

Detecting Urban Traffic Anomalies with Traffic Monitoring Data

Yunkun Mao, Yilin Shi, Binbin Lu

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: traffic anomalies; real-time traffic data; deep learning; artificial intelligence; multiple spatio-temporal scales

Online: 29 July 2024 (10:49:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1569.v2

Highly-Sensitive Measure of Complexity Captures Boolean Networks Regimes and Temporal Order More Optimally

Manuel de J. Luevano, Alejandro Puga

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Random Boolean Networks; Entropy; Algorithmic Complexity; Compressibility

Online: 24 July 2024 (07:24:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1830.v1

CALIFRAME: A Proposed Method of Calibrating Reporting Guidelines with FAIR Principles to Foster Reproducibility of AI Research in Medicine

Kirubel Biruk Shiferaw, Irina Balaur, Danielle Welter, Dagmar Waltemath, Atinkut Alamirrew Zeleke

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: FAIR principles; Reporting guidelines; Medicine; Machine learning; Artificial intelligence; Calibration

Online: 23 July 2024 (17:57:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1522.v1

MoPiDiP: A Modular Real-Time Pipeline for Machinery Diagnosis and Prognosis Based on Deep Learning Algorithms

Mattia Pujatti, Davide Calzà, Andrea Gobbi, Piergiorgio Svaizer, Marco Cristoforetti

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: data pipeline; predictive maintenance; condition monitoring; domain adaptation; fault diagnosis; remaining useful life estimation

Online: 19 July 2024 (02:37:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1428.v1

Optimization of Logistics Cargo Tracking and Transportation Efficiency based on Data Science Deep Learning Models

Ang Li, Shikai Zhuang, Tianyi Yang, Wenran Lu, Jiahao Xu

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Intelligent logistics algorithms; path optimization; deep reinforcement learning; data mining; transport efficiency optimization

Online: 17 July 2024 (12:47:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0686.v1

Number of Hamiltonian Cycles in Certain Bipartite Graphs of Size 4k+2

Ishan Banerjee

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: bipartite graphs; hamiltonian cycles; cycle cover

Online: 9 July 2024 (03:38:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0413.v1

Performance of Linear and Spiral Hashing

Arockia David Roy Kulandai, Thomas Johannes Emil Schwarz

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Linear Hashing; Spiral Hashing; Key-value Store; Data Structures

Online: 4 July 2024 (09:44:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0571.v3

How to Parallelize “Non-Parallelizable” Minimization Functions

Dmitry Lukyanenko, Sergei Torbin, Valentin Shinkarev

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: minimization; parallel algorithm; parallelization; MPI

Online: 28 June 2024 (03:26:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1967.v1

Information-Theoretic Modeling of Categorical Spatiotemporal GIS Data

David Percy, Martin Zwick

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: GIS; Reconstructability Analysis; Spatiotemporal; Categorical data; Forest Prediction; space-time data cube

Online: 27 June 2024 (15:29:26 CEST)

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Preprint REVIEW | doi:10.20944/preprints202406.1864.v1

Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions

David L John, Sebastian Binnewies, Bela Stantic

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Cryptocurrency; prediction; influential parameters; machine learning; deep learning; 17 research gaps; survey

Online: 26 June 2024 (14:21:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1760.v1

TSP Algorithm based on Convex Hull Insertion Method

Mengna Zheng

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: TSP; Convex Hull; Improved Algorithm

Online: 25 June 2024 (10:25:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0571.v2

How to Parallelize “Non-Parallelizable” Minimization Functions

Dmitry Lukyanenko, Sergei Torbin, Valentin Shinkarev

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: minimization; parallel algorithm; parallelization; MPI

Online: 24 June 2024 (11:27:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1235.v1

Feature Distributions of Technologies

Jiannan Zhu, Chao Deng, Jiaofeng Pan, Fu Gu, Jianfeng Guo

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: 2D analytical space; commerciality; disruptiveness; representative keyword; search engine; significance; technological assessment; versatility

Online: 18 June 2024 (16:15:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1147.v1

Boundary Segmentation of Vascular Images in Fourier Domain Doppler Optical Coherence Tomography Based on Deep Learning

Chuanchao Wu, Zhibin Wang, Peng Xue, Wenyan Liu

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Optical coherence tomography; Image segmentation; Deep learning; Microvascular anastomosis

Online: 17 June 2024 (14:36:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0571.v1

How to Parallelize “Non-Parallelizable” Minimization Functions

Dmitry Lukyanenko, Sergei Torbin, Valentin Shinkarev

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: minimization; parallel algorithm; parallelization; MPI; MPI-4

Online: 11 June 2024 (10:27:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.2147.v1

Bridging Human Expertise with Machine Learning and GIS for Mine Type Prediction and Classification

Adib Saliba, Christophe Claramunt, Chamseddine Zaki, Kifah Tout

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Decision-making; Human expertise; Machine-learning; GIS; Mine Type classification.

Online: 31 May 2024 (11:58:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1153.v1

Dynamic Slicing and Reconstruction Algorithm for Precise Canopy Volume Estimation in 3D Citrus Tree Point Clouds

WenJie Li, Biyu Tang, Zhen Hou, Hongbo Wang, Zongyu Bing, Qiong Yang, Yongqiang Zheng

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Citrus tree; LiDAR; Canopy volume; Point cloud reconstruction; Dynamic slicing

Online: 17 May 2024 (05:46:48 CEST)

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Preprint REVIEW | doi:10.20944/preprints202405.1052.v1

The Current State and Future of the Road Transport Based Cold Chain

Ronja Tuovinen, Isla Usvakangas, Pekka Neittaanmäki

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Cold chains; environment; transportation; refrigerated transportation; optimization; algorithms

Online: 15 May 2024 (14:10:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0756.v1

Formal Language for Objects’ Transactions (ObTFL)

Mo Adda

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: formal language; activities; interactions; actors; agents; transactions; compartments; junctions; containers

Online: 13 May 2024 (07:56:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1998.v1

Dynamic Contact Networks in Confined Spaces: Synthesizing Micro-Level Encounter Patterns Through Human Mobility Models from Real-World Data

Diaoulé Diallo, Jurij Schönfeld, Tessa F. Blanken, Tobias Hecking

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: contact networks; temporal networks; micro-level encounter modeling; human mobility models; pandemic research; bayesian optimization

Online: 30 April 2024 (11:55:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1715.v1

Collaborative Learning Networks for Enhanced Education: A Framework for Device-to-Device Collaboration

Richard Brandl, Jen-Han Wang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: collaborative learning; device-to-device collaboration; mobile cloud computing; personalized learning; resource optimization

Online: 26 April 2024 (08:45:59 CEST)

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Preprint REVIEW | doi:10.20944/preprints202404.1327.v1

Transparency Levels in Distributed Database Management System DDBMS

Raoof Altaher

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: DDBMS; Transparency; data independence; Replication Transparency

Online: 22 April 2024 (08:38:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1831.v1

A Dynamic Programming Approach to Collision Avoidance of Autonomous Ships

Raphael Zaccone

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Dynamic Programming; Autonomous Ship; Path Planning; Collision Avoidance; Optimization.

Online: 29 March 2024 (10:08:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1568.v1

Optimizing Classroom Resource Allocation Using a Modified Salp Swarm Algorithm

Aya Fujii, Hiroshi Tanaka, Yoko Suzuki, Kenji Sato, Ayumi Yamamoto

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: classroom resource allocation; modified salp swarm algorithm; optimization; cloud computing

Online: 26 March 2024 (09:45:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0858.v6

Detecting CSV File Dialects by Table Uniformity Measurement and Data Type Inference

Wilfredo García

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: comma separated values; CSV dialect detection; data mining

Online: 18 March 2024 (07:25:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0898.v1

Frilled Lizard Optimization: A Novel Nature-Inspired Metaheuristic Algorithm for Solving Optimization Problems

Ibraheem Abu Falahah, Osama Al-Baik, Saleh Alomari, Gulnara Bektemyssova, Saikat Gochhait, Irina Leonova, Om Parkash Malik, Frank Werner, Mohammad Dehghani

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Optimization; bio-inspired; metaheuristic; frilled lizard optimization; exploration; exploitation

Online: 15 March 2024 (08:55:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0470.v1

A New Computational Algorithm for Assessing Overdispersion in Machine Learning Count Models with Python

Luiz Paulo Lopes Fávero, Alexandre Duarte, Helder Prado Santos

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Count data; Machine learning; Negative binomial regression; Overdispersion; Poisson regression; Python; Vuong Test; Zero inflation

Online: 8 March 2024 (09:30:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0489.v1

Multifractal Dynamics and Complexity Transformation in the Tanker Freight Market

Feier Chen, Xiaofeng Liang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Tanker freight rate; Multifractal detrended fluctuation analysis; Multifractal detrending moving average; Temporal correlations; Finite size effect; Complexity Transformation

Online: 8 March 2024 (04:50:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0858.v5

Detecting CSV File Dialects by Table Uniformity Measurement and Data Type Inference

Wilfredo García

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: comma separated values; CSV dialect detection; data mining

Online: 24 February 2024 (08:49:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0858.v4

Detecting CSV File Dialects by Table Uniformity Measurement and Data Type Inference

Wilfredo García

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: comma separated values; CSV dialect detection; data mining

Online: 20 February 2024 (09:09:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0858.v3

Detecting CSV File Dialects by Table Uniformity Measurement and Data Type Inference

Wilfredo García

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: comma separated values; CSV dialect detection; data mining

Online: 17 February 2024 (09:06:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0858.v2

Detecting CSV File Dialects by Table Uniformity Measurement and Data Type Inference

Wilfredo García

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: comma separated values; CSV dialect detection; data mining

Online: 16 February 2024 (11:04:53 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0858.v1

Detecting CSV File Dialects by Table Uniformity Measurement and Data Type Inference

Wilfredo García

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Comma Separated Values; CSV dialect detection; data mining

Online: 15 February 2024 (15:41:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0368.v1

A Multi-strategy Enhanced Dung Beetle Optimization Algorithm and Its Application in Engineering

Huiqiang Zhang, Ronghui Zhang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Dung beetle optimization algorithm; Tent chaotic mapping; Golden sinusoidal strategy; Levy flight strategy; Numerical experiment; Engineering experiment

Online: 6 February 2024 (10:23:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.2226.v1

Temporal Dynamics of Citizen-Reported Urban Challenges: A Comprehensive Time Series Analysis

Andreas F. Gkontzis, Sotiris Kontsiantis, Georgios Feretzakis, Vassilios S. Verykios

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Smart Cities; Predictive Analytics; Urban Resilience; Sustainable Urban Development; Geodata; Python; Time Series Analysis; Seasonal Decomposition; Citizens Reports; Big Data

Online: 31 January 2024 (15:05:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0967.v1

Enhancing Urban Resilience: Smart City Data Analyses, Forecasts, and Digital Twin Techniques at the Neighborhood Level

Andreas F. Gkontzis, Sotiris Kontsiantis, Georgios Feretzakis, Vassilios S. Verykios

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Smart Cities; Digital Twins; Predictive Analytics; Artificial intelligence; Urban Resilience; Sustainable Urban Development; GeoDataFrame; Python; Time Series Analysis; Citizens Reports

Online: 12 January 2024 (09:53:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1722.v1

Cultural Itineraries Generated by Smart Data on the Web

Mauro Mazzei, Cosmo Capodiferro, Massimo De Maria, Matteo Spreafico, Oleg V. Bik, Armando Palma, Anna V. Solovyeva

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Linked Open Data; SPARQL; GeoSPARL; Geocoding; OpenStreetMap; web-GIS

Online: 22 December 2023 (14:30:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1181.v1

Application of Geographic Information Systems in Analysing Topographic Roughness for Nyanga District of Zimbabwe

Ezra Chipatiso

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Topographic Roughness Index; Geographic Information Systems; Digital Elevation Model; Focal Statistics

Online: 15 December 2023 (14:53:52 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0427.v1

Navigating Uncertainty: Enhancing Markowitz Asset Allocation Strategies through Out-of-Sample Analysis

Vijaya Krishna Kanaparthi

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Expected Events; Equally Weighted Allocation; Markowitz Asset Allocation; Out-of-Sample Events

Online: 6 December 2023 (15:38:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0706.v1

Algorithm for Propeller Optimization Based on Differential Evolution

Andry Sedelnikov, Evgenii Kurkin, Jose Gabriel Quijada-Pioquinto, Oleg Lukyanov, Dmitriy Nazarov, Vladislava Chertykovtseva, Ekaterina Kurkina, Van Hung Hoang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: differential evolution; penalty function; SHADE algorithm; CAPR; lightweight pipelining; isolated sections method

Online: 10 November 2023 (11:39:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1061.v1

Two Kadane Algorithms for the Maximum Sum Sub-Array Problem

Joseph B. Kadane

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: dynamic programming; Kadane’s algorithm; linear algorithm; maximum subarray problem; miscommunication

Online: 17 October 2023 (11:09:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0854.v1

A Global Resource Scheduling for Distributed Edge Computing

Aiping Tan, Yunuo Li, Yan Wang, Yujie Yang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: resource scheduling; distributed systems; edge computing

Online: 13 October 2023 (07:48:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0737.v1

Algorithm for the Accelerated Calculation of Conceptual Distances in Massive Graphs

Rolando Quintero, Esteban Mendiola, Giovanni Guzmán, Miguel Torres-Ruiz, Carlos Guzmán Sánchez-Mejorada

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: conceptual distance; shortest path algorithms; accelerated calculation; computational complexity

Online: 11 October 2023 (14:22:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0408.v1

Two-way Linear Probing Revisited

Ketan Dalal, Luc Devroye, Ebrahim Malalla

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Open addressing hashing; linear probing; parking problem; worst-case search time; two-way chaining; multiple-choice paradigm; randomized algorithms; witness tree; probabilistic analysis

Online: 7 October 2023 (10:10:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1910.v1

A Scalable Data Structure for Efficient Graph Analytics and In-Place Mutations

Soukaina Firmli, Dalila Chiadmi

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Data Structures; Concurrency; Graph Processing; Graph Mutations

Online: 27 September 2023 (15:10:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1769.v1

Cyber-attacks on Public Key Cryptography

Petar Radanliev

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: artificial intelligence; quantum cryptography; quantum computing; security; encryption

Online: 27 September 2023 (05:29:34 CEST)

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Preprint REVIEW | doi:10.20944/preprints202309.0594.v1

Advances in Slime Mould Algorithm: A comprehensive Survey

Yuanfei Wei, Zalinda Othman, Kauthar Mohd Daud, Qifang Luo, Yongquan Zhou

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: slime mould algorithm (SMA); swarm intelligence; optimization; Metaheuristic algorithm

Online: 8 September 2023 (10:34:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.2098.v1

Enhancing Automated Scoring of Math Self-Explanation Quality using LLM-Generated Datasets: A Semi-Supervised Approach

Ryosuke NAKAMOTO, Brendan Flanagan, Taisei Yamauchi, Dai Yilling, Kyosuke Takami, Horoaki Ogata

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Self-explanation; Automated scoring; Semi-supervised learning; Language Learning Model (LLM); Data augmentation

Online: 31 August 2023 (10:19:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0955.v1

Dual Neighborhoods Search for Solving The Minimum Dominating Tree Problem

Ze Pan, Xinyun Wu, Caiquan Xiong

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Meta-heuristic; Dominating tree; Dual neighborhoods; Fast neighborhood evaluation; Optimization

Online: 14 August 2023 (09:13:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.0913.v1

Emergent Information Processing: Observations, Experiments, and Future Directions

Jiří Kroc

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: emergent information processing; emergent, emergent logic; complex systems; cellular automaton; error-ressilient; self-organization; biocomputing; Turing machine equivalence

Online: 11 August 2023 (10:18:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0580.v1

Using Clustering for Customer Segmentation from Retail Data

Henrique José Wilbert, Aurélio Faustino Hoppe, Andreza Sartori, Stefano Frizzo Stefenon, Luís Augusto Silva, Valderi Reis Quietinho Leithardt

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: retailing; customer behavior; clustering; segmentation; external validation indices

Online: 8 August 2023 (13:57:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0102.v1

Efficient Multi-Change Point Analysis to decode Economic Crisis Information from the S&P500 Mean Market Correlation

Martin Heßler, Tobias Wand, Oliver Kamps

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Bayesian Multi-Change Point Analysis; Linear Trend Segment Fit; Computationally Efficient Open-Source Python Implementation; S&P500; Mean Market Correlation; Economic Crises; Econophysics

Online: 2 August 2023 (02:40:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1853.v1

Fibonacci Group Consensus Algorithm Based on Node Evaluation Mechanism

Xueli Shen, Xinru Li

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: blockchain; consensual algorithm; PBFT algorithm; Node evaluation mechanism; Fibonacci grouping

Online: 27 July 2023 (10:22:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1625.v1

Large Scale Portfolio Optimization Using Biogeography-Based Optimization

Wendy Wijaya, Kuntjoro Adji Sidarto

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: biogeography-based optimization; constrained optimization; mean-variance model

Online: 22 June 2023 (12:34:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1211.v1

Discovery of Attention Deficit Hyperactivity Disorder Spectrum Using Community Detection

Marnes Adão Simão Cassule, Luis Renato Carreiro, Leandro Augusto Silva

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: attention deficit/hyperactivity disorder; attentional variability; network communities; deficit hyperactivity disorder spectrum

Online: 16 June 2023 (10:15:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0396.v1

Dual Protection Routing Trees on Graphs

Kung-Jui Pai

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Protection Routing; Completely Independent Spanning Trees; Dual Protection Routing Trees; Complete graphs; Complete Bipartite Graphs; Hypercubes; Locally Twisted Cubes.

Online: 6 June 2023 (07:36:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0797.v1

Graph Neural Network Based Efficient Subgraph Embedding 2 Method for Link Prediction in Mobile Edge Computing

XiaoLong Deng, JuFeng Sun, JunWen Lu

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: link prediction; graph neural network; graph embedding

Online: 11 May 2023 (05:24:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.1025.v1

An Improved Salp Swarm Algorithm for Solving Node Coverage Optimization problem in WSN

Jiaming Wang, Zhengli Zhu, Fuquang Zhang, Yanxiong Liu

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: wireless sensor network (WSN); Salp Swarm Algorithm (SSA); T-distribution; tent chaotic se-quence

Online: 27 April 2023 (04:05:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0242.v2

A Simulation Based Solution Approach for the Capacitated Lot-Sizing Problem With Remanufacturing

Luis Rocha

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Simulation based optimization; capacitated lot-sizing problem; heuristics; remanufacturing

Online: 20 April 2023 (05:21:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0242.v1

A Simulation Based Solution Approach for the Capacitated Lot-Sizing Problem With Remanufacturing

Luis Rocha

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: CLSP; Simulation; Heuristikl; algorithms

Online: 12 April 2023 (04:55:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202301.0219.v2

When to Use Large Language Model: Upper Bound Analysis of BM25 Algorithms in Reading Comprehension Task

Tingzhen Liu, Qianqian Xiong, Shengxi Zhang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Large Language Model; natural language processing; reading comprehension; computational lin-guistics; information retrieval; BM25

Online: 30 March 2023 (03:51:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202303.0056.v1

Efficient Use of Quantum Linear System Algorithms in Interior Point Methods for Linear Optimization

Mohammadhossein Mohammadisiahroudi, Ramin Fakhimi, Tamás Terlaky

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Quantum Interior Point Method; Linear Optimization; Quantum Linear System Algorithm; Iterative Refinement

Online: 3 March 2023 (04:06:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202303.0031.v1

A Mixed Clustering Approach for Real Time Anomaly Detection

Fokrul Alom Mazarbhuiya, Mohamed Shenify

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: data instances; real time systems; k-means algorithm; agglomerative hierarchical algorithm; similarity measure; merge function ;

Online: 2 March 2023 (04:15:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints202303.0023.v1

Application of Variational AutoEncoder (VAE) Model and Image Processing Approaches in Game Design

Hugo Wai Leung Mak, Runze Han, Hoover H.F. Yin

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Game Design; Variational AutoEncoder (VAE); Image and Video Generation; Bayesian Algorithm; Loss Function; Data Clustering; Data and Image Analytics; MNIST database; Generator and Discriminator

Online: 1 March 2023 (11:17:12 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints202302.0189.v1

Infant Biometric Data Acquisitions: The Lessons Learnt

Norman Nelufule, Yaseen Moolla, Sthembile Ntshangase, Anton De Kock

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Infant Biometrics; Longitudinal data collection; infant fingerprint; infant iris; infant's ear

Online: 10 February 2023 (08:46:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0551.v1

CH-CC: A Chinese Multimodal Classroom Atmosphere Analysis Dataset Based on Teachers’ Behavior and Voice

Zicen Liao

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: multimodal dataset; sentiment analysis; classroom atmosphere; intelligent education

Online: 30 January 2023 (09:49:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0533.v1

Improving Deep Echo State Network with Neuronal Similarity-based Iterative Pruning Merging Algorithm

Qingyu Shen, Hanwen Zhang, Yao Mao

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: reservoir computing; deep echo state network; neuronal similarity-based iterative pruning merging algorithm; chaotic time series forecast

Online: 30 January 2023 (02:34:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0522.v1

Autonomous Vehicle Dataset with Real Multi-Driver Scenes and Biometric Data

Francisca Rosique, Pedro J. Navarro, Leanne Miller, Eduardo Salas

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: autonomous vehicle; data set; multidriver; biometric

Online: 28 January 2023 (07:55:36 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0486.v1

Based on the Improved Yolov5 Cotton Top Bud Recognition Algorithm

Guangze Xi, Jianping Zhou, Yan Xu, Xiaorong Wang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: YOLOv5s; Gz-ShuffleNetv2; XIoU; Attention Mechanis; Interface system

Online: 27 January 2023 (06:11:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0219.v1

When to Use Large Language Model: Upper Bound Analysis of BM25 Algorithms in Reading Comprehension Task

Tingzhen Liu, Qianqian Xiong, Shengxi Zhang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Large Language Model; Natural Language Processing; Reading Comprehension; Computational linguistics; Information Retrieval; BM25

Online: 12 January 2023 (08:58:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202205.0215.v3

Qluster: An Easy-to-Implement Generic Workflow for Robust Clustering of Health Data

Cyril Esnault, Melissa Rollot, Pauline Guilmin, Jean-Daniel Zucker

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: clustering; robustness; generic; workflow; algorithms

Online: 6 January 2023 (01:55:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0561.v1

Lightweight Tennis Ball Detection Algorithm Based on Robomaster EP

Yuan Zhao, Ling Lu, Wu Yang, QiZheng Li, Xiujie Zhang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Tennis ball detection algorithm; Lightweight; Convolutional coordinate attention; Feature fusion; Loss function; Activation function

Online: 30 November 2022 (03:53:21 CET)

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To address the problems of poor recognition, low detection accuracy, a large number of model parameters and computation, complex network structure, and unfavorable portability to embedded devices in traditional tennis ball detection algorithms, this study proposes a lightweight tennis ball detection algorithm YOLOv5s-Z based on Robomater EP. The main work is as follows: Firstly, constructing lightweight G-Backbone and G-Neck network layers to reduce the number of parameters and computation of the network structure. Secondly, the convolutional coordinate attention is incorporated in G-Backbnone to embed the location information into the channel attention, which makes the network obtain the location information in a larger area through multiple convolutions and enhances the expression ability of the mobile network learning features. In addition, the Concat module in the original feature fusion is modified into a weighted bi-directional feature pyramid W-BiFPN with settable learning weights to improve the feature fusion capability and achieve efficient weighted feature fusion and bi-directional cross-scale connectivity. The EIOU loss is introduced to split the influence factor of aspect ratio and calculate the length and width of the target frame and anchor frame respectively, combined with Focal-EIOU Loss to solve the problem of imbalance between difficult and easy samples. The activation function Meta-ACON is introduced to achieve an adaptive selection of whether to activate the neurons and improve the detection accuracy. Finally, the experimental results show that compared with the original algorithm, the YOLOv5s-Z algorithm reduces the number of parameters and computation by 42$\%$ and 44$\%$, the model size by 39$\%$, and 2$\%$ improvement in average accuracy mean value, which verifies the effectiveness of the improved algorithm and the light weight of the model to meet the deployment requirements of embedded devices, and adapts Robomaster EP for accurate detection and real-time recognition of tennis balls.

Preprint ARTICLE | doi:10.20944/preprints202211.0252.v1

Modifed SIC Algorithm based on Lattice Reduction Aided for MIMO OFDM Detection

Haitao Liu, Fan Feng, Xuchao Cheng, Liguo Wang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: MIMO OFDM; SIC; Log-likelihood ratio(LLR); SQRD

Online: 14 November 2022 (10:47:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202211.0103.v1

The Hypervolume Newton Method for Constrained Multi-objective Optimization Problems

Hao Wang, Michael Emmerich, André Deutz, Víctor Adrián Sosa Hernández, Oliver Schütze

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: multi-objective optimization; hypervolume indicator; Newton method; evolutionary algorithms; constraint handling; hypervolume scalarization

Online: 7 November 2022 (04:20:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202210.0472.v1

Data-Driven Deep Journalism to Discover Age Dynamics in Multi-Generational Labour Markets from LinkedIn Media

Abeer Abdullah Alaql, Fahad AlQurashi, Rashid Mehmood

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: media; journalism; deep journalism; labor markets; Great Resignation; Quiet Quitting; Millennials; Generation Z; Big Data Analytics; Natural Language Processing (NLP)

Online: 31 October 2022 (08:33:34 CET)

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We live in the information age and, ironically, meeting the core function of journalism – i.e., to provide people access to unbiased information – has never been more difficult. This paper explores deep journalism, our data-driven Artificial Intelligence (AI) based journalism approach to study how the LinkedIn media could be useful for journalism. Specifically, we apply our deep journalism approach to LinkedIn to automatically extract and analyse big data to provide the public with information about labour markets, people’s skills and education, and businesses and industries from multi-generational perspectives. The Great Resignation and Quiet Quitting phenomena coupled with rapidly changing generational attitudes are bringing unprecedented and uncertain changes to labour markets and our economies and societies, and hence the need for journalistic investigations into these topics is highly significant. We combine big data and machine learning to create a whole machine learning pipeline and a software tool for journalism that allows discovering parameters for age dynamics in labour markets using LinkedIn data. We collect a total of 57,000 posts from LinkedIn and use it to discover 15 parameters by Latent Dirichlet Allocation algorithm (LDA) and group them into five macro-parameters, namely Generations-Specific Issues, Skills & Qualifications, Employment Sectors, Consumer Industries, and Employment Issues. The journalism approach used in this paper can automatically discover and make objective, cross-sectional, and multi-perspective information available to all. It can bring rigour to journalism by making it easy to generate information using machine learning and can make tools and information available so that anyone can uncover information about matters of public importance. This work is novel since none of the earlier works have reported such an approach and tool and leveraged it to use LinkedIn media for journalism and to discover multigenerational perspectives (parameters) for age dynamics in labour markets. The approach could be extended with additional AI tools and other media.

Preprint ARTICLE | doi:10.20944/preprints202210.0301.v1

MERP: A Dataset of Emotion Ratings for Full-Length Musical Songs with Profile Information of Raters

Enyan Koh, Kin Wai Cheuk, Kwan Yee Heung, Kat R Agres, Dorien Herremans

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Emotion prediction; music; music emotion dataset; affective computing

Online: 20 October 2022 (08:33:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202210.0081.v1

A Model Selection Algorithm for Complex Multi-Domain Cnn Systems Based on Feature-Weights Relation in Deep Learning

Eyad Alsaghir, Xiyu Shi, Varuna De Silva

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: CNN; AI; Causality; Understandability; Object Features; Excitation Weight; Multi-model Neural Network; Model Selection

Online: 7 October 2022 (14:58:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0256.v1

Development of Evolutionary Systems based on Quantum Petri Nets

Tiberiu Stefan Letia, Elenita Maria Durla-Pasca, Dahlia Al-Janabi, Octavian Petru Cuibus

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: quantum computing; genetic algorithms; Petri nets; Quantum Petri nets; software development; analysis and verification

Online: 19 September 2022 (03:41:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0226.v1

A Survey of GNN in Bioinformation Data

Zhenyi Zhu

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Graph Neural Networks, Non-Euclidean Data, Bioinformation

Online: 15 September 2022 (08:49:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0314.v1

CHAGSKODE Algorithm for Solving Real World Constrained Optimization Problems

Debanjan Saha, Karam M. Sallam, Shuvodeep De, Ali W. Mohamed

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Differential Evolution; APGSK algorithm; Constrained Optimization; transformation; parameter adaptation; multi-operator; Evolutionary Algorithms

Online: 17 August 2022 (09:47:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0307.v1

Framework of Ensemble Parmeter Adapted Evolutionary Algorithm for Solving Constrained Optimization Problems

Debanjan Saha, Karam M. Sallam, Shuvodeep De, Ali W. Mohamed

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: constrained optimization; multi-operator; multi-parameter adaptation; ensemble constraint handling techniques; Evolutionary Algorithms

Online: 17 August 2022 (08:35:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0109.v1

Effects of Data Augmentations on Speech Emotion Recognition

Bagus Tris Atmaja, Akira Sasou

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: speech emotion recognition; affective computing; data augmentations; wav2vec 2.0; SVM

Online: 4 August 2022 (14:09:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0215.v2

Qluster: An Easy-to-Implement Generic Workflow for Robust Clustering of Health Data

Cyril Esnault, Melissa Rollot, Pauline Guilmin, Jean-Daniel Zucker

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: clustering; robustness; generic; workflow; algorithms

Online: 7 July 2022 (10:49:33 CEST)

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Computer Science and Mathematics