Setting group-based adaptive coordination of overcurrent and distance relays considering changes in grid topology by Hossein Mohammadi, Reza Mohammadi Chabanloo, Mahdi Ghotbi-Maleki

“…Nested within this framework, linear programming algorithm solves a sub-problem to compute optimal time multiplier settings for OCRs. …”
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Simulation-based deep reinforcement learning for multi-objective identical parallel machine scheduling problem by Sohyun Nam, Young-in Cho, Jong Hun Woo

“…In the training phase of the scheduling agent, the Proximal Policy Optimization algorithm is applied to learn the scheduling policy, which is approximated by deep neural networks. …”
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Toward Efficient Hierarchical Federated Learning Design Over Multi-Hop Wireless Communications Networks by Tu Viet Nguyen, Nhan Duc Ho, Hieu Thien Hoang, Cuong Danh Do, Kok-Seng Wong

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DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit by Kavipriya Gananathan, D. Manjula, Vijayan Sugumaran

“…Finally, the Wind Driven Optimization (WDO) algorithm is utilized to optimally choose the hyperparameters involved in the GRU model. …”
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Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

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Objective Functions for the Blade Shape Optimisation of a Cross-Flow Tidal Turbine under Constraints by Karla Ruiz-Hussmann, Pierre-Luc Delafin, Cyrille Bonamy, Yves Delannoy, Dominique Thévenin, Stefan Hoerner

“…The optimization procedure couples Computational Fluid Dynamics (CFD) with a Genetic Algorithm. …”
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Advanced intrusion detection technique (AIDT) for secure communication among devices in internet of medical things (IoMT) by M. Ramya, Pradeep Sudhakaran, Yuvaraj Sivagnanam, C. Santhana Krishnan

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Innovative framework for fault detection and system resilience in hydropower operations using digital twins and deep learning by Jun Tan, Raoof Mohammed Radhi, Kimia Shirini, Sina Samadi Gharehveran, Zamen Parisooz, Mohsen Khosravi, Hossein Azarinfar

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A Novel Method for Inverting Deep-Sea Sound-Speed Profiles Based on Hybrid Data Fusion Combined with Surface Sound Speed by Qiang Yuan, Weiming Xu, Shaohua Jin, Xiaohan Yu, Xiaodong Ma, Tong Sun

“…The artificial lemming algorithm (ALA) is introduced to optimize the inversion of empirical orthogonal function (EOF) coefficients, enhancing global search efficiency while avoiding local optimization. …”
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Decentralized multi-agent federated and reinforcement learning for smart water management and disaster response by H. Mancy, Naglaa E. Ghannam, Amr Abozeid, Ahmed I. Taloba

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Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features by Atiya Masood, Mansoor Ebrahim, Fahad Najeeb, Syed Muhammad Daniyal

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Design and validation of a CFD model for energy-efficient Ni-Co-Mn cathode calcination process by Jaeseop Jo, Minyoung Hwang, Jungeui Lee, Joo Hyun Park

“…The model incorporates three essential sub-models to reflect complex physical and chemical phenomena during calcination: a heater control algorithm replicating nonlinear thermal response of industrial heaters with less than five percent deviation from experimental measurements, a data transfer method effectively simulating continuous material movement without computational mesh deformation to maintain numerical stability, and a dehydration reaction kinetics model addressing significant endothermic behavior arising from lithium hydroxide precursors during thermal treatment. …”
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Sustainable Logistics Network Design for Delivery Operations with Time Horizons in B2B E-Commerce Platform by Dhirendra Prajapati, M. Manoj Kumar, Saurabh Pratap, H. Chelladurai, Mohd Zuhair

“…A mixed-integer nonlinear programming (MINLP) approach is applied to formulate a model to minimize total time associated with order processing, handling, packaging, shipping, and vehicle maintenance. Branch-and-bound algorithms in the LINGO optimization tool and genetic algorithm (GA) are used to solve the formulated mathematical model. …”
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Improved YOLO-Goose-Based Method for Individual Identification of Lion-Head Geese and Egg Matching: Methods and Experimental Study by Hengyuan Zhang, Zhenlong Wu, Tiemin Zhang, Canhuan Lu, Zhaohui Zhang, Jianzhou Ye, Jikang Yang, Degui Yang, Cheng Fang

“…The method constructs a lightweight model with a small-object detection layer, integrates the GhostNet backbone to reduce parameter count by 67.2%, and employs the GIoU loss function to optimize neck ring localization accuracy. Experimental results show that the model achieves an <i>F1 score</i> of 93.8% and <i>mAP50</i> of 96.4% on the self-built dataset, representing increases of 10.1% and 5% compared to the original YOLOv8s, with a 27.1% reduction in computational load. …”
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Transparent memory tests with even repeating addresses for storage devices by V. N. Yarmolik, I. M. Mrozek, V. A. Levantsevich, D. V. Demenkovets

“…The urgency of the problem of memory testing of modern computing systems is shown. Mathematical models describing the faulty states of storage devices and the methods used for their detection are investigated. …”
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Development of Recurrent Neural Networks for Thermal/Electrical Analysis of Non-Residential Buildings Based on Energy Consumptions Data by Elisa Belloni, Flavia Forconi, Gabriele Maria Lozito, Martina Palermo, Michele Quercio, Francesco Riganti Fulginei

“…This approach is computationally lightweight; inference time is below 5 ms, and can be easily embedded in optimization algorithms for load dispatch or in microcontroller applications for building automation systems.…”
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A Heuristic Approach to Competitive Facility Location via Multi-View K-Means Clustering with Co-Regularization and Customer Behavior by Thanathorn Phoka, Praeploy Poonprapan, Pornpimon Boriwan

“…An empirical evaluation on a real-world dataset from San Francisco demonstrates that the proposed approach, using optimal co-regularization parameters, achieves a total runtime of approximately 4.00 s—representing a 99.34% reduction compared to the full CFLBP-CB model (608.58 s) and a 99.32% reduction compared to a genetic algorithm (585.20 s). …”
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Development of a postoperative recurrence prediction model for stage Ⅰ non-small cell lung cancer patients using multimodal data based on machine learning by ZHANG Di, WU Yi, XU Yu

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Biodynamic Characteristics and Blood Pressure Effects of Stanford Type B Aortic Dissection Based on an Accurate Constitutive Model by Yiwen Wang, Libo Xin, Lijie Zhou, Xuefeng Wu, Jinong Zhang, Zhaoqi Wang

“…Using this validated model to define the hyperelastic properties of the aortic wall, a multiphysics coupling platform was constructed in COMSOL Multiphysics 6.2, integrating computational fluid dynamics (CFD) and fluid–structure interaction (FSI) algorithms. …”
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A new approach for improving dynamic fault ride through capability of gridctied based wind turbines by Shoaib Ahmed Dayo, Ahsanullah Memon, Zeeshan Anjum Memon, Touqeer Ahmed Jumani, Ghulam Abbas, Salwa Othmen, Amr Yousef, Andika Aji Wijaya

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