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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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Preprint DATA DESCRIPTOR | doi:10.20944/preprints202205.0230.v1

SEN2VENµS, a Dataset for the Training of Sentinel-2 Super-Resolution Algorithms

Julien Michel, Juan Vinasco-Salinas, Jordi Inglada, Olivier Hagolle

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Single Image Super-Resolution; Sentinel-2; VENµS; remote sening

Online: 17 May 2022 (11:13:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202205.0215.v1

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: 17 May 2022 (03:10:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0244.v1

A Fuzzy Consensus Clustering Algorithm for MRI Brain Tissue Segmentation

Aruna Kumar S. V., Ehsan Yaghoubi, Hugo Proença

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Brain Tissue Segmentation; Consensus Clustering; Segmentation; Magnetic Resonance Image

Online: 26 April 2022 (14:11:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202204.0167.v1

Interpolating Strange Attractors via Fractional Brownian Bridges

Sebastian Raubitzek, Thomas Neubauer, Jan Friedrich, Andreas Rauber

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: time series interpolation; phase space reconstruction; takens’ theorem; interpolation; stochastic interpolation; genetic algorithm; time series data; preprocessing; strange attractor; attractor; attractor reconstruction

Online: 18 April 2022 (11:02:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202202.0075.v1

What Should I Notice? Using Alogithmic Information Theory to Evaluate the Memorability of Events in Smart Homes

Étienne Houzé, Jean-Louis Dessalles, Ada Diaconescu, David Menga

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Kolmogorov Complexity; Algorithmic Information Theory; Simplicity; Abduction; Memorability

Online: 4 February 2022 (14:11:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0465.v1

Genetic Algorithm-based Optimal Deep Neural Network for Detecting Network Intrusions

Sourav Adhikary, Md. Musfique Anwar, Mohammad Jabed Morshed Chowdhury, Iqbal H. Sarker

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: genetic algorithm; deep neural network; hidden layer; optimal architecture; intrusion detection

Online: 31 January 2022 (13:26:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0445.v1

Internet of Things-Driven Data Mining for Smart Crop Production Prediction in the Peasant Farming Domain

Luis Omar Colombo-Mendoza, Mario Andrés Paredes-Valverde, María del Pilar Salas-Zárate, Rafael Valencia-García

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: data mining; predictive analytics; Internet of Things; peasant farming; smart farming system; crop production prediction

Online: 31 January 2022 (10:58:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0130.v1

Metaheuristic Algorithms Based on Compromise Programming for Multi-Objective Urban Shipment Problem

Son Tung Ngo, Jafreezal Jaafar, Izzatdin Abdul Aziz, Muhammad Umar Aftab, Giang Hoang Nguyen, Ngoc Anh Bui

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: multi objective optimization; VRP; compromise programming; genetic algorithm; tabu search; local search; metaheuristics; combinatorial optimization

Online: 10 January 2022 (18:38:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0506.v1

On the Distributional Characterization of Graph Models of Water Distribution Networks in Wasserstein Spaces

Antonio Candelieri, Andrea Ponti, Francesco Archetti

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: multi-objective; evolutionary algorithms; Pareto optimality; Wasserstein distance; network vulnerability; resilience; sensor placement.

Online: 31 December 2021 (11:01:51 CET)

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This paper is focused on two topics very relevant in water distribution networks (WDNs): vulnerability assessment and the optimal placement of water quality sensors. The main novelty element of this paper is to represent the data of the problem, in this case all objects in a graph underlying a water distribution network, as discrete probability distributions. For vulnerability (and the related issue of re-silience) the metrics from network theory, widely studied and largely adopted in the water research community, reflect connectivity expressed as closeness centrality or, betweenness centrality based on the average values of shortest paths between all pairs of nodes. Also network efficiency and the related vulnerability measures are related to average of inverse distances. In this paper we propose a different approach based on the discrete probability distribution, for each node, of the node-to-node distances. For the optimal sensor placement, the elements to be represented as dis-crete probability distributions are sub-graphs given by the locations of water quality sensors. The objective functions, detection time and its variance as a proxy of risk, are accordingly represented as a discrete e probability distribution over contamination events. This problem is usually dealt with by EA algorithm. We’ll show that a probabilistic distance, specifically the Wasserstein (WST) distance, can naturally allow an effective formulation of genetic operators. Usually, each node is associated to a scalar real number, in the optimal sensor placement considered in the literature, average detection time, but in many applications, node labels are more naturally expressed as histograms or probability distributions: the water demand at each node is naturally seen as a histogram over the 24 hours cycle. The main aim of this paper is twofold: first to show how different problems in WDNs can take advantage of the representational flexibility inherent in WST spaces. Second how this flexibility translates into computational procedures.

Preprint ARTICLE | doi:10.20944/preprints202112.0452.v1

A Fast Electrical Resistivity-Based Algorithm to Measure and Visualize Two-Phase Swirling Flows

Muhammad Awais Sattar, Matheus Martinez Garcia, Luis M Portela, Laurent Babout

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Electrical Resistance Tomography (ERT); Raw Data Processing; Inline Swirl Separator; Geometrical Parameter Extraction

Online: 28 December 2021 (14:42:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0215.v1

School Timetabling Optimisation Using Artificial Bee Colony Algorithm Based on a Virtual Searching Space Method

Kaixiang Zhu, Lily D Li, Michael Li

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: educational timetable; school timetabling; constraint satisfaction problem; optimisation; artificial bee colony algorithm

Online: 12 November 2021 (11:34:55 CET)

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Preprint REVIEW | doi:10.20944/preprints202110.0247.v1

A Survey on Awesome Korean NLP Datasets

Byunghyun Ban

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: natural language; NLP; Korean; dataset

Online: 18 October 2021 (14:33:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0407.v1

A Cloud Computing-Based Modified Symbiotic Organisms Search Algorithm for Ecosystem Sustainability

Ajoze Abdulraheem Zubair, Shukor Bin Abd Razak, Md. Asri Bin Ngadi

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: cloud computing; cloud resource management; task scheduling; ecosystem; geometric mean; symbiotic organisms search algorithm; convergence speed

Online: 23 September 2021 (12:31:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0654.v1

A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health form Social Media Big Data

Tapotosh Ghosh, Md. Hasan Al Banna, Md. Jaber Al Nahian, Kazi Abu Taher, M Shamim Kaiser, Mufti Mahmud

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: COVID-19; Mental Health; Depression; Big data; Social media.

Online: 28 June 2021 (13:50:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0563.v2

Binary Particle Swarm Optimization Algorithm for Kidney Exchanges Acceleration using Parallel MATLAB

Wael M. F. Abdel-Rehim

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: kidney exchange; Particle Swarm; Meta-heuristics; Optimization

Online: 14 May 2021 (11:03:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0523.v1

Comparison of Backpropagation and Kalman Filter-based Training for Neural Networks

Laurin Luttmann, Paolo Mercorelli

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Backpropagation Algorithm; Kalman Filter; Neural Networks

Online: 20 April 2021 (08:49:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0142.v1

A Polynomial Algorithm for Sequencing Jobs with Release and Delivery Times on Uniform Machines

Nodari Vakhania, Frank Werner

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: scheduling; uniform machines; release time; delivery time; time complexity; algorithm

Online: 8 January 2021 (10:59:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0328.v2

Energy Efficient Multi-Path Routing Algorithm Using Gray System Theory for Improvement of Routing and Network Stability in Internet of Things

Rogayye Khaleghnasab, Karamolah Bagherifard, Samad Nejatian, Bahman Ravaei

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Internet of Things; multi-path routing; Gray System Theory; network stability; RMPGST-IoT

Online: 25 November 2020 (14:46:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0424.v1

Entropic Ranks: A Methodology for Enhanced, Threshold-Free, Information-Rich Data Partition and Interpretation

Hector - Xavier de Lastic, Irene Liampa, Alexandros G. Georgakilas, Michalis Zervakis, Aristotelis Chatziioannou

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: data analysis; threshold-free; differential analysis

Online: 18 September 2020 (09:11:04 CEST)

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Background: Traditional omic analysis relies on p-value and fold change as selection criteria. There is an ongoing debate on their effectiveness in delivering systemic and robust interpretation, due to their dependence on assumptions of conformity with various parametric distributions.Here, we propose a threshold-free selection method based on robust, non-parametric statistics, ensuring independence from the statistical distribution properties and broad applicability. Such methods could adapt to different initial data distributions, contrary to statistical techniques based on fixed thresholds. Methods: Our work extends the Rank Products methodology with a neutral selection method of high information-extraction capacity. We introduce the calculation of the RP distribution’s entropy to isolate the features of interest by their contribution to the distribution’s information content. The aim is a methodology performing threshold-free identification of the differentially expressed features, which are highly informative about the phenomenon under scrutiny. Conclusions: Applying the proposed method on microarray (transcriptomic and DNA methylation) and RNAseq count data of varying sizes and noise presence, we observe robust convergence for the different parameterisations to stable cutoff points. Functional analysis through BioInfoMiner and EnrichR was used to evaluate the information potency of the resulting feature lists. Overall, the derived functional terms provide a systemic description highly compatible with the results of traditional statistical hypothesis testing techniques. The methodology behaves consistently across different data types. The feature lists are compact and information-rich, indicating phenotypic aspects specific to the tissue and biological phenomenon i nvestigated. Selection by information content measures efficiently addresses problems, emerging from arbitrary thresholding, thus facilitating the full automation of the analysis.

Working Paper ARTICLE

Generating Fake ECGs using GANs for Anonymizing Healthcare Data

Esteban Piacentino, Alvaro Guarner, Cecilio Angulo

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: GAN; ECG; anonymization; healthcare data; sensors; data transformation

Online: 3 September 2020 (05:26:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0241.v1

Technique of Gene Expression Profiles Extraction based on the Complex Use of Clustering and Classification Methods

Sergii Babichev, Jiří Škvor

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: gene expression profiles; lung cancer; clustering; classification; binary classifiers; SOTA clustering algorithm; clustering quality criteria; ROC analysis; fuzzy inference system

Online: 10 August 2020 (08:01:10 CEST)

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In this paper, we present the results of the research concerning extraction of informative gene expression profiles from high-dimensional array of gene expressions considering the state of patients' health using clustering method, ensemble of binary classifiers and fuzzy inference system. Applying of the proposed stepwise procedure can allow us to extract the most informative genes taking into account both the subtypes of disease or state of the patient's health for further reconstruction of gene regulatory networks based on the allocated genes and following simulation of the reconstructed models. We used the publicly available gene expressions data as the experimental ones which were obtained using DNA microarray experiments and contained two types of patients' gene expression profiles: the patients with lung cancer tumor and healthy patients. The stepwise procedure of the data processing assumes the following steps: in beginning, we reduce the number of genes by removing non-informative genes in terms of statistical criteria and Shannon entropy; then, we perform the stepwise hierarchical clustering of gene expression profiles at hierarchical levels from 1 to 10 using SOTA clustering algorithm with correlation distance metric. The quality of the obtained clustering was evaluated using complex clustering quality criterion which is considered both the gene expression profiles distribution relative to center of the clusters were these gene expression profiles are allocated and the centers of the clusters distribution. The result of this stage execution was selection of the optimal cluster at each of the hierarchical levels which corresponded to minimum value of the quality criterion. At the next step, we have implemented classification procedure of the examined objects using four well known binary classifiers: logistic regression, support-vector machine, decision trees and random forest classifier. The effectiveness of the appropriate technique was evaluated based on the use of ROC analysis using criteria included as the components the errors of both the first and the second kinds. The final decision concerning extraction of the most informative subset of gene expression profiles was taken based on the use of fuzzy inference system, the inputs of which are the results of the appropriate single classifiers operation and output is the final solution concerning state of the patient's health. To our mind, the implementation of the proposed stepwise procedure of the informative gene expression profiles extraction create the conditions for increasing effectiveness of the further procedure of gene regulatory networks reconstruction and the following simulation of the reconstructed models considering the subtypes of the disease and/or state of the patient’s health.

Preprint REVIEW | doi:10.20944/preprints202007.0153.v1

A Hitchhiker’s Guide to Working with Large, Open-Source Neuroimaging Datasets

Corey Horien, Stephanie Noble, Abigail Greene, Kangjoo Lee, Daniel Barron, Siyuan Gao, Dave O'Connor, Mehraveh Salehi, Javid Dadashkarimi, Xilin Shen, Evelyn Lake, R. Todd Constable, Dustin Scheinost

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Open-science; big data; fMRI; data sharing; data management

Online: 8 July 2020 (11:53:33 CEST)

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Preprint ARTICLE | doi:10.3390/sci2020047

Images of Roman Imperial Denarii: A Curated Data Set for the Evaluation of Computer Vision Algorithms Applied to Ancient Numismatics, and an Overview of Challenges in the Field

Ognjen Arandjelović, Marios Zachariou

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: coins; review; problems; data corpus; grade; preservation; condition

Online: 14 June 2020 (00:00:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0028.v1

Genetic Algorithm: Reviews, Implementations, and Applications

Tanweer Alam, Shamimul Qamar, Amit Dixit, Mohamed Benaida

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: genetic algorithm; search techniques; random tests; evolution; applications

Online: 4 June 2020 (07:44:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0173.v1

Grey Wolf Based Wang’s Demons for Retinal Image Registration

Sayan Chakraborty, Ratika Pradhan, Amira S. Ashour, Luminita Moraru, Nilanjan Dey

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: demons registration; firefly algorithm; cuckoo search; grey-wolf optimization; correlation; image registration

Online: 10 May 2020 (16:11:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0403.v1

Can Compact Optimisation Algorithms Be Structurally Biased?

Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: structural bias; compact algorithm; continuous optimisation; estimation of distribution algorithm; infeasible solution

Online: 23 April 2020 (04:49:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0273.v1

Cooperative Multi-Simplex Algorithm: An Innovation from Localization to Globalization

Javaid Ali

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Nelder-Mead algorithm; cooperative multi-simplex algorithm; simplex-fitness; system of nonlinear equations

Online: 16 April 2020 (12:54:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0381.v1

The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms

Fabio Caraffini

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: algorithmic design; metaheuristic optimisation; evolutionary computation; swarm intelligence; memetic computing; parameter tuning; fitness trend; Wilcoxon Rank-Sum; Holm-Bonferroni; benchmark suite

Online: 26 March 2020 (04:03:41 CET)

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Preprint ARTICLE | doi:10.3390/sci2010015

Images of Roman Imperial Denarii: A Curated Data Set for the Evaluation of Computer Vision Algorithms Applied to Ancient Numismatics, and an Overview of Challenges in the Field

Ognjen Arandjelović

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: coins; review; problems; data corpus; grade; preservation; condition

Online: 16 March 2020 (00:00:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202002.0277.v1

Can Single Solution Optimisation Methods Be Structurally Biased?

Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: structural bias; algorithmic design; hypothesis testing; single solution methods; constraint handling

Online: 19 February 2020 (11:37:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0149.v1

Automatic Neume Transcription of Medieval Music Manuscripts using CNN/LSTM-Networks and the segmentation-free CTC-Algorithm

Christoph Wick, Frank Puppe

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Optical Music Recognition; Historical Document Analysis; Medieval manuscripts; neume notation; CNN; LSTM; CTC

Online: 15 January 2020 (12:11:25 CET)

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Working Paper REVIEW

Datasets for Machine Reading Comprehension: A Literature Review

Vaishali Ingale, Pushpender Singh, Aditi Singh

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Reading Comprehensio; Descriptive Answer; Extractive answer; Multiple-choice answers; Datasets

Online: 8 October 2019 (10:40:09 CEST)

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Working Paper ARTICLE

An Improved EigenAnt Algorithm That Achieves a Balance between Intensification and Diversification

Mahan Mahrueyan, Amit Bhaya

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: EigenAnt; parameter impact analysis; intensification and diversification balance; routing networks

Online: 17 June 2019 (04:06:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0296.v1

Iterative Positioning Algorithm of the Target Node Based on Distance Correction in WSN

Jing Chen, Shixin Wang, Mingsan Ouyang, Yudi Chen, Yuting Xuan

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: iterative positioning algorithm; distance correction; RSSI; noise impact factor; distance deviation coefficient

Online: 24 May 2019 (12:36:07 CEST)

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Working Paper ARTICLE

Sparse Coded Autoencoder Features for Chemometric Data Analysis

Muhammad Bilal, Mohib Ullah

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Chemometric data,sparse autoencoder, gaussian process regressor, pareto optimization.

Online: 9 May 2019 (11:31:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201904.0270.v1

Infeasibility and Structural Bias in Differential Evolution

Fabio Caraffini, Anna Kononova, David Corne

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: structural bias, algorithmic design, differential evolution, population-based algorithms, optimisation

Online: 24 April 2019 (12:16:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201904.0252.v1

Multi-Agent Task Planning Based on Distributed Resource Scheduling under Command and Control Architecture

Jie Zhang, Gang Wang, Yafei Song

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: multi-agent; HTN; distributed architecture; command and control model; algorithm performance comparison

Online: 23 April 2019 (11:01:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201812.0123.v1

An Improved EigenAnt Algorithm That Achieves a Balance between Intensification and Diversification

Mahan Mahrueyan, Amit Bhaya

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: EigenAnt; parameter impact analysis; intensification and diversification balance; routing networks

Online: 11 December 2018 (10:18:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0583.v1

A Detection algorithm based on Convolutional Neural Network

Fei Rong, Li Shasha, Xu Qingzheng, Liu Kun

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Station logo; Convolutional Neural Network; Detection

Online: 26 November 2018 (10:57:17 CET)

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Computer Science and Mathematics