Development of a Fault-Tolerant Permanent Magnet Synchronous Motor Using a Machine-Learning Algorithm for a Predictive Maintenance Elevator by Vasileios I. Vlachou, Theoklitos S. Karakatsanis

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An Optimized and Energy-Efficient Ad-Hoc On-Demand Distance Vector Routing Protocol Based on Dynamic Forwarding Probability (AODVI) by Hailu Gizachew Yirga, Gizatie Desalegn Taye, Henock Mulugeta Melaku

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A Deep Neural Network Framework for Dynamic Two-Handed Indian Sign Language Recognition in Hearing and Speech-Impaired Communities by Vaidhya Govindharajalu Kaliyaperumal, Paavai Anand Gopalan

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Electric Vehicle Energy Management Under Unknown Disturbances from Undefined Power Demand: Online Co-State Estimation via Reinforcement Learning by C. Treesatayapun, A. J. Munoz-Vazquez, S. K. Korkua, B. Srikarun, C. Pochaiya

“…The desired state of charge is defined as a reference trajectory, and the control input is computed while ensuring compliance with all operational constraints. …”
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Securing Electrical Drive Systems Against Man-in-the-Middle Attacks Using S-Box Optimized AES Encryption by J. Dheeba, Vansh Oberoi, R. Raja Singh, V. Gautam Karthik

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Dual-Resource Optimization Configuration and Collaborative Scheduling for Flexible Job Shop Under Worker Flexibility Constraints by Zijie Ren, Hongyi Qu, Mejdl Safran, Jiafu Wan

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Intelligent Flight Procedure Design: A Reinforcement Learning Approach with Pareto-Based Multi-Objective Optimization by Yunyang Huang, Yanxin Zhang, Yandong Zhu, Zhuo Zhang, Longtao Zhu, Hongyu Yang, Yulong Ji

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Multi-Objective Optimization of UAV Relay Deployment for Air-to-Ground Communications via Distributed Collaborative Beamforming by Yang Yang, Xin Feng, Jing Zhang, Hongwei Yang, Tingting Zheng

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Deep Reinforcement Learning-Based Two-Phase Hybrid Optimization for Scheduling Agile Earth Observation Satellites by Guanghui Zhou, Zhicheng Jin, Dongning Liu

“…To balance solution quality and computational efficiency, a deep reinforcement learning (DRL)-based algorithmic framework is proposed. …”
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A spectral Fletcher-Reeves conjugate gradient method with integrated strategy for unconstrained optimization and portfolio selection. by Nasiru Salihu, Sulaiman M Ibrahim, P Kaelo, Issam A R Moghrabi, Elissa Nadia Madi

“…Numerical experiments performed on some unconstrained optimization problems highlight the superiority of this new algorithm over certain CG methods with similar characteristics. …”
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Sine-Cosine Optimization-Based Bijective Substitution-Boxes Construction Using Enhanced Dynamics of Chaotic Map by Amer Awad Alzaidi, Musheer Ahmad, Hussam S. Ahmed, Eesa Al Solami

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Nuclear Power Plant Construction Scheduling Problem with Time Restrictions: A Particle Swarm Optimization Approach by Shang-Kuan Chen, Yen-Wu Ti, Kuo-Yu Tsai

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DRL-based max-min fair RIS discrete phase shift optimization for MISO-OFDM systems by Peng Chen, Huaqian Zhang, Xiao Li, Shi Jin

“…Simulation results demonstrate that the proposed DRL-based algorithm can achieve almost optimal performance, while has much less computation consumption.…”
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Optimization of Bayesian Neural Networks using hybrid PSO and fuzzy logic approach for time series forecasting by Farideh Sobhanifard

“…On the other hand, Particle Swarm Optimization is a computational approach, an intelligent optimization, and the most popular algorithm that has been widely used for performing such types of optimization problems, which has faster convergence. …”
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A high-entropy image encryption scheme using optimized chaotic maps with Josephus permutation strategy by Nawal El Ghouate, Mohamed Amine Tahiri, Ahmed Bencherqui, Hanaa Mansouri, Ahmed El Maloufy, Hicham Karmouni, Mhamed Sayyouri, Sameh Askar, Mohamed Abouhawwash

“…This algorithm uses Kepler Chaotic Optimisation Algorithm (CKOA) to select the most suitable chaotic maps, guaranteeing optimal diffusion and complex pixel confusion. …”
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Structure Optimization of a Vibration Suppression Device for Underwater Moored Platforms Using CFD and Neural Network by Zhaoyong Mao, Fuliang Zhao

“…The optimal value of the vibration suppression rate is obtained by backpropagation (BP) neural network and genetic algorithm. …”
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Artificial bee colony optimized random forest model for prediction of fly ash concrete compressive strength by Manish Bali, Ved Prakash Mishra, Anuradha Yenkikar

“…This study presents a data-driven, computational approach for predicting the CS of fly ash concrete (FAC) using a hybrid Artificial Bee Colony (ABC)-optimized Random Forest (RF) model. …”
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Maize Classification in Arid Regions via Spatiotemporal Feature Optimization and Multi-Source Remote Sensing Integration by Guang Yang, Jun Wang, Zhengyuan Qi

“…The recursive feature elimination random forest (RF-RFE) algorithm was employed for feature selection and model optimization. …”
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Hull form optimization of fully parameterized small ships using characteristic curves and deep neural networks by Jin-Hyeok Kim, Myung-Il Roh, In-Chang Yeo

“…Subsequently, the DNN model is combined with a genetic algorithm to identify the optimal set of parameters for the hull form, resulting in an optimal hull form. …”
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Optimization of air conditioning mechanical ventilation using simulated annealing for enhanced energy efficiency and cost reduction by Enio Pedone Bandarra Filho, Gleyzer Martins, Muhammad Bilal Riaz, Sardar Muhammad Bilal, Oscar Saul Hernandez Mendonza

“…The methodology integrates principles of fluid mechanics with computational modeling to perform mass and pressure balances, combined with a simulated annealing algorithm for system optimization. …”
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