Slope deformation prediction based on GA–BP neural networks by Wenhui TAN, Kai LI, Huimin LIU, Meifeng CAI, Qifeng GUO

“…This algorithm optimizes the initial weights and thresholds of the BP neural network, leading to the establishment of the time-series deformation prediction model of slopes based on the GA–BP neural network. …”
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A hybrid deep learning-based intrusion detection system for EV and UAV charging stations by Rosebell Paul, Mercy Paul Selvan

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Toward Adaptive and Immune-Inspired Viable Supply Chains: A PRISMA Systematic Review of Mathematical Modeling Trends by Andrés Polo, Daniel Morillo-Torres, John Willmer Escobar

“…At the methodological level, a high degree of diversity in modeling techniques was observed, with an emphasis on mixed-integer linear programming (MILP), robust optimization, multi-objective modeling, and the increasing use of bio-inspired algorithms, artificial intelligence, and simulation frameworks. …”
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Enhancing Hajj and Umrah Services Through Predictive Social Media Classification by Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna, Faisal Jamil, Mehdhar S. A. M. Al-Gaashani, Soha Alhelaly, Ahmed Aziz, Ammar Muthanna

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Dynamic Task Allocation for Heterogeneous Multi-Autonomous Underwater Vehicle Collaboration Under Mine Countermeasures Missions by Juan Li, Baohua Liu, Caiyun Liu, Cong Lin

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Rock image classification based on improved EfficientNet by Kai Bai, Zhaoshuo Zhang, Siyi Jin, Shengsheng Dai

“…First, the DiffuseMix algorithm is applied to the training set to increase data diversity. …”
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Quantum-enhanced digital twin IoT for efficient healthcare task offloading by Ahmed K. Jameil, Hamed Al-Raweshidy

“…The proposed system introduces two key optimization algorithms: (1) DTH-ATB-MAPPO, which dynamically adjusts task scheduling and resource distribution, and (2) AQDT-IoT, which enhances computational efficiency and cybersecurity compliance in 6 G-enabled IoT networks. …”
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GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model by Caiyang Yu, Xianggen Liu, Yifan Wang, Yun Liu, Wentao Feng, Xiong Deng, Chenwei Tang, Jiancheng Lv

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Data Allocation in Distributed Database based on CSO by Saadi Hamad Thalij

“…In this paper, a novel high performance data allocation approach is designed using Chicken Swarm Optimization (CSO) algorithm. Data allocation problem (DAP) is a NP-Hard problem modelled as optimization problem. …”
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An Application of Ant Colony-Fuzzy Logic Controller for Shunt Active Filter in PV-UPQC by K. Sahithi, N. Yadaiah

“… This paper presents an intelligent, optimized control approach designed to enhance the quality of power in power grids. …”
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Design of Morlet wavelet neural networks integrated with sequential quadratic programming to analyze the dynamics of Ebola virus disease by Asifa Ashraf, Abaid Ur Rehman Virk, Umar Ishtiaq, Ahmed Samy Mohamed Elwahsh, Ioan-Lucian Popa

“…For the investigation of this model, we use a hybrid optimization algorithm with MWNNs and a genetic algorithm (GA) integrated with sequential quadratic programming (SQP). …”
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Highlight Removal From Wireless Capsule Endoscopy Images by Shaojie Zhang, Yinghui Wang, Peixuan Liu, Wei Li, Jinlong Yang, Tao Yan, Liangyi Huang, Yukai Wang, Ibragim R. Atadjanov

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The Fast and Accurate Method of Tuning of SISO Controllers Using Seven Performance Indexes by Stopakevych A.О., Stopakevych О.A.

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Prediction of lithium-ion battery SOC based on IGA-GRU and the fusion of multi-head attention mechanism by Pei Tang, Minnan Jiang, Weikai Xu, Zhengyu Ding, Mao Lv

“…Compared with the traditional parameter optimization approach, this paper uses the immune genetic algorithm to find the optimal hyperparameters of the model, which on the one hand has a wider choice of parameters, and on the other hand has been improved for the genetic algorithm is easy to fall into the local optimal solution, so as to improve the SOC estimation accuracy of the GRU model. …”
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Physical Health Portrait and Intervention Strategy of College Students Based on Multivariate Cluster Analysis and Machine Learning by Rong Guo, Rou Dong, Ni Lu, Lin Yu, Chaoxian Chen, Yonglin Che, Jiajin Zhang, Jianke Yang

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Adaptive fuzzy-PI controlled dynamic voltage restorer for mitigating voltage sags by Nirmalya Mallick, Chandan Kumar Shiva, Sachidananda Sen, Vedik Basetti, Vivekananda Mukherjee, Chandra Sekhar Reddy

“…A hybrid DC energy storage system, combining a supercapacitor and a proton exchange membrane fuel cell (PEMFC), is integrated through a multi-input single boost converter, governed by an intelligent energy management algorithm. This configuration ensures reliable support during both short- and long-duration voltage sags. …”
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Fuzzy LQR-based control to ensure comfort in HVAC system with two different zones by Elif Çinar, Tayfun Abut

“…The core novelty of this work lies in the development and comparison of advanced control algorithms, including the Linear Quadratic Regulator (LQR), a Particle Swarm Optimization (PSO)-based LQR, and a newly designed PSO-based Fuzzy LQR (FLQR) controller. …”
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Stability analysis of semi-submersible floating wind turbines based on gyro-turbine coupled dynamics model by Wancheng Wang, Hao Li, Yihang Yang, Kai Sheng, Lijing Chen

“…Based on this model, an innovative PSO-optimized fuzzy control strategy is proposed, utilizing intelligent particle swarm optimization algorithms to adjust controller parameters for optimal performance under various environmental conditions. …”
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Progress and future direction of independently developed reservoir numerical simulation software in Shengli Oilfield by ZHANG Zhiqiang, YANG Yaozhong, ZHANG Shiming, YU Jinbiao, CAO Weidong, HU Huifang

“…To bridge these gaps， further advancements are required in core reservoir simulation technologies， including new development paradigms for integrating modeling and simulation as well as combining multiple recovery methods； CPU + GPU large-scale parallel computing； the integration and application of emerging technologies based on big data and artificial intelligence. Through continuous technological innovation and functional optimization， Shengli Oilfield’s reservoir numerical simulation software will strengthen its competitiveness， providing robust support for the efficient development of complex reservoirs.…”
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A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions by Na Xu, Zhuo Tang, Chenyi Si, Jinshan Bian, Chaoxu Mu

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