Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

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Optimizing low-power, anti-interference routing with IRS through spatiotemporal reinforcement and federated learning by Chengfu Fan, Shoujiu Xiong, Fei Zhou

“…Abstract This paper introduces the SAC-IRS algorithm, a novel approach that combines Intelligent Reflecting Surfaces (IRS) and Reinforcement Learning (RL) to optimize network performance, specifically targeting packet delivery rate and energy efficiency. …”
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A black-winged kite optimization algorithm enhanced by osprey optimization and vertical and horizontal crossover improvement by Yancang Li, Binli Shi, Weitao Qiao, Zunfeng Du

“…Simulation experiments are performed on the CEC2017 and CEC2019 test sets, revealing that the DKCBKA algorithm surpasses five standard swarm intelligence optimization methods and six improved optimization algorithms regarding solution accuracy and convergence speed. …”
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Controller Parameter Optimization for Nonlinear Systems Using Enhanced Bacteria Foraging Algorithm by V. Rajinikanth, K. Latha

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Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm by M. Gorji-Bandpy, A. Mozaffari

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Deep Learning Algorithm for Optimized Sensor Data Fusion in Fault Diagnosis and Tolerance by M. Elhoseny, Deepak Dasaratha Rao, Bala Dhandayuthapani Veerasamy, Noha Alduaiji, J. Shreyas, Piyush Kumar Shukla

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A two-stage algorithm based on greedy ant colony optimization for travelling thief problem by Zheng Zhang, Xiao-Yun Xia, Zi-Jia Wang, You-Zhen Jin, Wei-Zhi Liao, Jun Zhang

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Particle Swarm Optimization Iterative Identification Algorithm and Gradient Iterative Identification Algorithm for Wiener Systems with Colored Noise by Junhong Li, Xiao Li

“…The difficulty in the identification is that the model is nonlinear and the intermediate variable cannot be measured. Particle swarm optimization is an artificial intelligence evolutionary method and is effective in solving nonlinear optimization problem. …”
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GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement by Fang Han, Hui Fu, Bo Wang, Yaoli Xu, Bin Lv

“…Then, to search effective or even the best ESP solutions, we propose a hybrid meta-heuristic algorithm (named GP4ESP) by taking advantage of both the powerful global search ability of genetic algorithm (GA) and the fast convergence of particle swarm optimization (PSO). …”
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Black-box and white-box machine learning tools to estimate the frost formation condition during cryogenic CO2 capture from natural gas blends by Farag M.A. Altalbawy, Fadhel F. Sead, Dharmesh Sur, Anupam Yadav, José Gerardo León Chimbolema, Suhas Ballal, Abhayveer Singh, Anita Devi, Kamal Kant Joshi, Nizomiddin Juraev, Hossein Mahabadi Asl

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Machine Learning in the National Economy by Azamjon A. Usmonov

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Optimal surface defect detector design based on deep learning for 3D geometry by Sangmin Suh

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Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach by Alberto Nogales, Diego Guadalupe, Álvaro J. García-Tejedor

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Optimizing Pile Bearing Capacity Prediction Using Specific Random Forest Models Optimized by Meta-Heuristic Algorithms for Enhanced Geomechanically Applications by Nengyuan Chen

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Advanced Sensor Integration and AI Architectures for Next-Generation Traffic Navigation by Cosmina-Mihaela Rosca, Adrian Stancu, Ionuț-Adrian Gortoescu

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An Innovative Smart Irrigation Using Embedded and Regression-Based Machine Learning Technologies for Improving Water Security and Sustainability by Abdennabi Morchid, Abdennacer Elbasri, Zahra Oughannou, Hassan Qjidaa, Rachid El Alami, Badre Bossoufi, Saleh Mobayen, Pawel Skruch

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Toward 6G: Latency-Optimized MEC Systems with UAV and RIS Integration by Abdullah Alshahrani

“…The integration of unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) further enhances wireless propagation, capacity, and coverage, presenting a transformative paradigm for next-generation networks. …”
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Basketball team optimization algorithm (BTOA): a novel sport-inspired meta-heuristic optimizer for engineering applications by Yujie Chen, Guangyu Wang, Baichuan Yin, Chongyun Ma, Zhiqiao Wu, Ming Gao

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Harnessing Machine Learning for Intelligent Networking in 5G Technology and Beyond: Advancements, Applications and Challenges by Kristi Dulaj, Abdulraqeb Alhammadi, Ibraheem Shayea, Ayman A. El-Saleh, Mohammad Alnakhli

“…Furthermore, the integration of ML in 5G networks is pivotal for advancing intelligent transportation systems, enabling dynamic route optimization, adaptive traffic management, and enhanced vehicular communication. …”
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Conceptual design of a decision knowledge service model integrating a multi-agent supply relationship diagram for electric power emergency equipment by Jiandong Si, Chang Liu, Jingxian Ye, Jianfeng Wu, Jianguo Wang, Kairui Hu, Chunhua Ju, Qianwen Cao

“…Finally, supported by the graph, the platform can offer intelligent assistance in decision-making, supplier recommendation, optimization of emergency equipment scheduling for electric power supply, and provides effective information and guidance for decision-making in electric power emergency equipment supply.ResultsAfter conducting a comparative analysis, the decision support system based on the knowledge graph proposed in this study demonstrates superior effectiveness and precision. …”
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