A Novel Hierarchical Clustering Algorithm Based on Density Peaks for Complex Datasets by Rong Zhou, Yong Zhang, Shengzhong Feng, Nurbol Luktarhan

“…Numerous clustering algorithms have been proposed to investigate what factors constitute a cluster and how to efficiently find them. …”
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A Dynamic Time Warping Algorithm Based Analysis of Pedestrian Shockwaves at Bottleneck by Lishan Sun, Qingsheng Gong, Liya Yao, Wei Luo, Tianqi Zhang

“…A set of real-world trajectory data is used to illustrate the proposed algorithm. Results show that the DTW algorithm is capable of depicting the pedestrian shockwaves elaborately and accurately. …”
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Optimal Space Lower Bound for Deterministic Self-Stabilizing Leader Election Algorithms by Lélia Blin, Laurent Feuilloley, Gabriel Le Bouder

“…On the other hand, it is also known that leader election can be solved by a deterministic self-stabilizing algorithm using registers of $O(\log \log n)$ bits per node in any $n$-node bounded-degree network. …”
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Development of a Time Domain Identification Algorithm with a Spectral Objective Function by Oleg N. Korsun, Moung Htang Om

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A New Algorithm for Detecting X-Ray Shots in Cyg X-1 by Jin Qin, Hua Feng, Lian Tao

“…Compared with previous techniques, our algorithm allows us to detect shots with lower amplitudes and shorter time separations. …”
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A Detailed Comparison of Two New Heuristic Algorithms Based on Gazelles Behavior by Emine Baş

“…The results show that MGO improves the ability to explore and avoid local traps better than GOA. MGO and GOA are also compared with three different heuristic algorithms selected from the literature (GSO, COA, and ZOA). …”
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Belt conveyor idler fault detection algorithm based on improved YOLOv5 by Cen Pan, Qing Tao, Hao Pei, Biao Wang, Wei Liu

“…Experimental results demonstrate that the enhanced YOLOv5 algorithm achieves a 95.3% mAP on the self-constructed infrared image dataset, surpassing the original algorithm by 2.7%. …”
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Utilizing the real estate investment trusts for portfolio optimisation by application of genetic algorithm by Li XU, Liviu Marian Matac, Juan Felipe Espinosa Cristia, Rui Dias, Codruta-Daniela Pavel

“…The research used the RIETS portfolio and genetic algorithm to improve investment portfolio Sharpe ratios. …”
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Decomposition-Based Multiobjective Evolutionary Algorithm for Community Detection in Dynamic Social Networks by Jingjing Ma, Jie Liu, Wenping Ma, Maoguo Gong, Licheng Jiao

“…A local search strategy dealing with the problem-specific knowledge is incorporated to improve the effectiveness of the new algorithm. Experiments on computer-generated and real-world networks demonstrate that the proposed algorithm can not only find community structure and capture community evolution more accurately, but also be steadier than the two compared algorithms.…”
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Improved HLLL Lattice Basis Reduction Algorithm to Solve GNSS Integer Ambiguity by Kezhao Li, Chendong Tian, Yingxiang Jiao, Zhe Yue

“…Compared with the LLL reduction algorithm and HLLL reduction algorithm, the experimental results show that the PHLLL algorithm has higher reduction efficiency and effectiveness. …”
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Disease Detection in Tomato Fruit Using Deep Learning Algorithms: Comparative Analysis by Fatma Feyza Akyol, Ayhan İstanbullu, Faruk Özel

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Classic (Nonquantic) Algorithm for Observations and Measurements Based on Statistical Strategies of Particles Fields by D. Savastru, Simona Dontu, Roxana Savastru, Andreea Rodica Sterian

“…A classic (non-quantic) algorithm for observations and measurements based on statistical strategies of optical field is presented in detail. …”
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A small serving of mash: (Quantum) algorithms for SPDH-Sign with small parameters by Mendelsohn Andrew, Dable-Heath Edmund, Ling Cong

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A decomposable multi-period mixing algorithm for long-term load forecasting by Qi Cheng, Jing Shi, Siwei Cheng

“…Achieving accurate LTLF is not only crucial for grid planning and operation but also provides a scientific foundation for power dispatch, ensuring efficient energy use and maintaining supply–demand balance. …”
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Application of multi-sensor fusion localization algorithm based on recurrent neural networks by Zexia Huang, Guoyang Ye, Pu Yang, Wanshun Yu

“…The method also outperforms state-of-the-art algorithms, including Particle Filter (PF) and Graph SLAM, in both accuracy and computational efficiency, achieving an average runtime of 30.1 ms per frame, suitable for real-time applications. …”
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Review of Modular Multiplication Algorithms over Prime Fields for Public-Key Cryptosystems by Hai Huang, Jiwen Zheng, Zhengyu Chen, Shilei Zhao, Hongwei Wu, Bin Yu, Zhiwei Liu

“…Furthermore, the core concepts, implementation challenges, and research advancements of multiplication algorithms are systematically summarized. This paper also gives a brief overview of modular reduction algorithms for various types of moduli and discusses the implementation principles, application scenarios, and current research results. …”
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Improved Trimming Ant Colony Optimization Algorithm for Mobile Robot Path Planning by Junxia Ma, Qilin Liu, Zixu Yang, Bo Wang

“…Simulation experiments show that the ITACO algorithm improves the path length by up to 62.86% compared to the classical ACO algorithm. …”
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Using Ant Algorithm to Find the Optimal Critical Path of a Projects Network by Ziyad Mohammed, Sama Al_Obaidy

“…The program is featuring by its efficiency, accuracy of results, and the possibility of applying it to any business network, regard of the degree of complexity in terms of the number of paths (activities), whether real or imaginary, smoothly and easily. Also, the results of the ANTOCPN algorithm program were compared with the results of the genetic algorithm program for the same question GAOCPN for previous research, and the ant algorithm proved its worth in terms of speed in obtaining the optimal solution. …”
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Two-Stage Fault Classification Algorithm for Real Fault Data in Transmission Lines by Se-Heon Lim, Taegeun Kim, Kyeong-Yeong Lee, Kyung-Min Song, Sung-Guk Yoon

“…Also, most of the previous works on fault classification used a single-stage method such as a rule-based algorithm or machine learning-based algorithm. …”
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Artificial Intelligence in Criminalistics and Forensic Examination: Issues of Legal Personality and Algorithmic Bias by A. V. Kokin, Yu. D. Denisov

“…The author has developed special methods to prepare such data, which are presented in this article in relation to ballistic identification systems. Also, one of the elements of system technical solutions to the problem of bias of AI algorithms is the development of standards for minimizing unjustified bias in algorithmic solutions.…”
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