Energy efficient and robust node localization in WSNs using LSTM optimized DV hop framework to mitigate multihop localization errors by Amjad Rehman, Tariq Mahmood, Tahani Jaser Alahmadi, Ahmed S. Almasoud, Tanzila Saba

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Long Short-Term Memory Networks and Bayesian Optimization for Predicting the Time-Weighted Average Pressure of Shield Supporting Cycles by Wanzi Yan, Junhui Wang, Jingyi Cheng, Zhijun Wan, Keke Xing, Kuidong Gao

“…In this study, a hybrid machine learning model integrating the long short-term memory (LSTM) networks and the Bayesian optimization (BO) algorithm was developed to predict TWAP based on the setting pressure (SP), revised setting pressure (RSP), final pressure (FP), number of yielding (NY), TWAP in the last supporting cycle (TWAP (last)), and loading rate in each period. …”
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Introducing a Novel Method for Determining the Future Price of the Financial Markets: A Case Study of the Hang Seng Index by Afreen Akashi, Md Sanadiule Ullash, Apurba Das

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Accelerating density of states prediction in Zn-doped MgO nanoparticles via kernel-optimized weighted k-NN by Hasan Kurban, Parichit Sharma, Mehmet M. Dalkilic, Mustafa Kurban

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Network Optimization of Fresh Products Cold Chain Considering Supply Disruption and Demand Fluctuation Under the Dual-Carbon Policy by Haojie Ran, Dichen He, Huajun Tang

“…To solve this model, this study innovatively designs a hybrid algorithm combining neighborhood search and swarm intelligence, integrating the advantages of local exploration and global optimization to balance the relationships among multiple objectives efficiently. …”
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Design optimization of wood-carved window grilles in historical architectures using stable diffusion model and intuitionistic Fuzzy VIKOR by Xinhui Kang, Jiao Wang

“…This study proposes an optimization design method for wood-carved window grilles that combines the Stable Diffusion Model (SDM) with Intuitionistic Fuzzy VIKOR. …”
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Location and Size Planning of Charging Parking Lots Based on EV Charging Demand Prediction and Fuzzy Bi-Objective Optimization by Qiong Bao, Minghao Gao, Jianming Chen, Xu Tan

“…Finally, taking the predicted charging demand distribution as an input and the number of CPLs and charging parking spaces as constraints, a bi-objective optimization model for simultaneous location and size planning of CPLs is constructed, and solved using the fuzzy genetic algorithm. …”
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Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…The particle swarm optimization (PSO) algorithm was used to optimize the detection region, thus enhancing the counting accuracy. …”
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Indirect Determination Approach of Blast-Induced Ground Vibration Based on a Hybrid SSA-Optimized GP-Based Technique by Zhaoxin Jiang, Hongyan Xu, Hui Chen, Bei Gao, Shijie Jia, Zhi Yu, Jian Zhou

“…For evaluating the peak particle velocity resulting from the quarry blast, a robust artificial intelligence system combined with the salp swarm algorithm (SSA) and Gaussian process (GP) was proposed, and the SSA was used to find the optimal hyperparameters of the GP here. …”
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Model-Data Hybrid-Driven Real-Time Optimal Power Flow: A Physics-Informed Reinforcement Learning Approach by Ximing Zhang, Xiyuan Ma, Yun Yu, Duotong Yang, Zhida Lin, Changcheng Zhou, Huan Xu, Zhuohuan Li

“…With the rapid development of artificial intelligence technology, DRL has shown great potential in solving complex real-time optimal power flow problems of modern power systems. …”
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A ROS-Based Online System for 3D Gaussian Splatting Optimization: Flexible Frontend Integration and Real-Time Refinement by Li’an Wang, Jian Xu, Xuan An, Yujie Ji, Yuxuan Wu, Zhaoyuan Ma

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Hybrid fuzzy logic–PI control with metaheuristic optimization for enhanced performance of high-penetration grid-connected PV systems by Mohamed Ahmed Ebrahim Mohamed, Sayed A. Ward, Mohamed F. El-Gohary, M. A. Mohamed

“…A user-friendly MATLAB/SIMULINK environment is developed, incorporating eleven distinct blocks along with a modelled national utility grid, utilizing actual operational data from the PVPP. To optimize the FLC-PI control scheme, several artificial intelligence (AI)-based metaheuristic optimization techniques (MOTs) are employed to simultaneously tune all control parameters—namely Grey Wolf Optimization (GWO), Harris Hawks Optimization (HHO), and the Arithmetic Optimization Algorithm (AOA)—are employed. …”
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Analysis of Customer Power Consumption Behavior Based on DPSO-Kmeans under the Ubiquitous Power Internet of Things by WANG Ying, XIANG Wen, ZHANG Qun, GAO Xiuyun

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Integration of physical information and reaction mechanism data for surrogate prediction model and multi-objective optimization of glycolic acid production by Zhibo Zhang, Yaowei Wang, Dongrui Zhang, Deming Zhao, Huibin Shi, Hao Yan, Xin Zhou, Xiang Feng, Chaohe Yang

“…Furthermore, this study integrated a multi-objective optimization algorithm based on the model, enabling surrogate optimization of reaction parameters during production. …”
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Multi-strategy hybrid adaptive dung beetle optimization for UAV photogrammetric 3D path planning under complex constraints by Muyang Wu, Guo Li, Jinwei Liao, Hang Wang, Wen Liu, Xiang Yan, Mengdie Yang, Shun Li

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An evolutionary Bi-LSTM-DQN framework for enhanced recognition and classification in rural information management by Taiping Deng, Xi He, Jiao Li, Feifei Ye, Jingyang Tang

“…It then employs a deep Q-network (DQN) to adjust and optimize weights dynamically. After feature extraction and weight optimization, evolutionary algorithms are used to select the optimal weights, enabling precise recognition and classification of conditions encountered by farmers seeking assistance. …”
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A machine learning model with crude estimation of property strategy for performance prediction of perovskite solar cells based on process optimization by Dan Li, Ernie Che Mid, Shafriza Nisha Basah, Xiaochun Liu, Jian Tang, Hongyan Cui, Huilong Su, Qianliang Xiao, Shiyin Gong

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Energy-Efficient Computation Offloading and Resource Allocation in SWIPT-Based MEC Networks by E. Xuefei, Zhonggui Ma, Kaihang Yu

“…We also propose a three-part alternative optimization algorithm framework based on the categories of optimization variables. …”
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Enhancing Energy Systems and Rural Communities through a System of Systems Approach: A Comprehensive Review by Abdellatif Soussi, Enrico Zero, Alessandro Bozzi, Roberto Sacile

“…Today’s increasingly complex energy systems require innovative approaches to integrate and optimize different energy sources and technologies. …”
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Energy-Efficient and Fault-Tolerant Control of a Six-Axis Robot Based on AI Models by Patryk Nowak, Zoran Pandilov

“…In the robot’s control system, artificial intelligence methods are also applied. Specifically, a genetic algorithm is used to generate learning data for the selection of the optimal kinematic configuration of the robot, and a multilayer perceptron is utilized to predict the parameters of the defined reward function. …”
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