Joint Resource Allocation for V2X Sensing and Communication Based on MADDPG by Zhiyong Zhong, Zhangyou Peng

“…Compared with the PPO algorithm, the proposed algorithm can improve the communication rate by 60% and achieve the trade-off between communication and sensing performance.…”
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Real-Time Evaluation of Breast Self-Examination Using Computer Vision by Eman Mohammadi, Elmer P. Dadios, Laurence A. Gan Lim, Melvin K. Cabatuan, Raouf N. G. Naguib, Jose Maria C. Avila, Andreas Oikonomou

“…The general objective of this paper is to design and develop a computer vision algorithm to evaluate the BSE performance in real-time. …”
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LazyAct: Lazy actor with dynamic state skip based on constrained MDP. by Hongjie Zhang, Zhenyu Chen, Hourui Deng, Chaosheng Feng

“…Inspired by human decision-making patterns, which involve reasoning only on critical states in continuous decision-making tasks without considering all states, we introduce the LazyAct algorithm. This algorithm significantly reduces the number of inferences while preserving the quality of the policy. …”
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Network Planning Method for Capacitated Metro-Based Underground Logistics System by Jianjun Dong, Wanjie Hu, Shen Yan, Rui Ren, Xiaojing Zhao

“…Second, a set of mixed integer programming model was developed to solve the problem of optimal nodes’ location-allocation (LAP) in the network. Then, a hybrid algorithm was designed with a combination of E-TOPSIS, exact algorithm, and heuristic algorithm. …”
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Overcoming dead-end situations of synthesis of motions of anthropomorphic robots on the basis of the use of motions of the clutch axis along the linear surface limiting the body an... by F. N. Pritykin

“…The algorithm makes it possible to solve deadlock situations in computer simulation of motions. …”
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Exploring for Route Preferences of Subway Passengers Using Smart Card and Train Log Data by Eun Hak Lee, Kyoungtae Kim, Seung-Young Kho, Dong-Kyu Kim, Shin-Hyung Cho

“…The proposed algorithm estimates the passenger kilometer about 13% higher than the shortest path algorithm. …”
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A Novel Optimal Control Method for Impulsive-Correction Projectile Based on Particle Swarm Optimization by Ruisheng Sun, Qiao Hong, Gang Zhu

“…A modification on basic PSO algorithm is developed to improve the convergence speed of this optimization through linearly decreasing the inertial weight. …”
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A Secure Object Detection Technique for Intelligent Transportation Systems by Jueal Mia, M. Hadi Amini

“…Furthermore, this hybrid algorithm provides robust security against data poisoning-based model replacement and inference attacks throughout the training phase. …”
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Residual Mode Vector-Based Structural Damage Identification with First-Order Modal Information by Shuai Luo, Zhenxin Zhuang, Wei Wang, Ping Jiang

“…Two numerical examples are given to verify the proposed algorithm. The results showed that the proposed damage identification method is consistent with the preset damage. …”
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A Novel Wide-Area Backup Protection Based on Fault Component Current Distribution and Improved Evidence Theory by Zhe Zhang, Xiangping Kong, Xianggen Yin, Zengli Yang, Lijun Wang

“…In order to solve the problems of the existing wide-area backup protection (WABP) algorithms, the paper proposes a novel WABP algorithm based on the distribution characteristics of fault component current and improved Dempster/Shafer (D-S) evidence theory. …”
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Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs by Zebin Wu, Shun Ye, Jie Wei, Zhihui Wei, Le Sun, Jianjun Liu

“…Due to the high computational cost of algorithm and massive quantity of the hyperspectral sensor data, high-performance computing is extremely demanded for those scenarios requiring real-time response. …”
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SQL Injection Detection Based on Lightweight Multi-Head Self-Attention by Rui-Teng Lo, Wen-Jyi Hwang, Tsung-Ming Tai

“…Experimental results show that the proposed algorithm has high detection performance for SQL injection. …”
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Prediction Model of Corrosion Current Density Induced by Stray Current Based on QPSO-Driven Neural Network by Chengtao Wang, Wei Li, Gaifang Xin, Yuqiao Wang, Shaoyi Xu

“…A method combining electrochemical experiment with the machine learning algorithm was utilized in this research to study the corrosion current density under the coupling action of stray current and chloride ion. …”
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Maximizing Network Lifetime of Directional Sensor Networks Considering Coverage Reliability by Joon-Min Gil, Jong Hyuk Park, Young-Sik Jeong

“…We also develop a heuristic algorithm called directional coverage and reliability (DCR) greedy algorithm to solve the DCCR problem. …”
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Block-Based Mode Decomposition in Few-Mode Fibers by Chenyu Wang, Jianyong Zhang, Baorui Yan, Shuchao Mi, Guofang Fan, Muguang Wang, Peiying Zhang

“…A block-based mode decomposition (BMD) algorithm is proposed in this paper, which reduces computational complexity and enhances noise resistance. …”
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Forecast uncertainties real-time data-driven compensation scheme for optimal storage control by Arbel Yaniv, Yuval Beck

“…By expanding on an existing algorithm, this study resolves issues discovered during implementation and addresses previously overlooked concerns, resulting in significant enhancements in both performance and reliability. …”
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Feature Selection and Parameter Optimization of Support Vector Machines Based on Modified Cat Swarm Optimization by Kuan-Cheng Lin, Yi-Hung Huang, Jason C. Hung, Yung-Tso Lin

“…Previous studies have indicated that CSO algorithms outperform other well-known metaheuristics, such as genetic algorithms and particle swarm optimization. …”
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Joint Trajectory Planning of Space Modular Reconfigurable Satellites Based on Kinematic Model by Jiping An, Xinhong Li, Zhibin Zhang, Wanxin Man, Guohui Zhang

“…This paper investigates the application of particle swarm optimization (PSO) algorithm to plan joint trajectories of the space modular reconfigurable satellite (SMRS). …”
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A Semi-Supervised Learning Approach to Quality-Based Web Service Classification by Mehdi Nozad Bonab, Jafar Tanha, Mohammad Masdari

“…This algorithm labels the data using a two-step method of calculating a score for each service and dynamic thresholding. …”
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Tracing Mechanism of Sports Competition Pressure Based on Backpropagation Neural Network by Huayu Zhao, Shaonan Liu

“…Analyzing the sources of stress and influencing factors of athletes can find measures to relieve and reduce stress and provide theoretical reference for the regulation of athletes’ competition pressure. Based on genetic algorithm and neural network theory, this paper proposes a method of tracing the sports competition pressure based on genetic algorithm backpropagation (BP) neural network to solve the problem that traditional neural network learning algorithm is slow and easy to fall into local minimum. …”
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