State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods by Lebo Dina Mashifane, Bongumsa Mendu, Bessie Baakanyang Monchusi

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SHERA: SHAP-Enhanced Resource Allocation for VM Scheduling and Efficient Cloud Computing by Ashwin Singh Slathia, Abhiram Sharma, P. B. Krishna, Saksham Anand, Ayush Rathi, Linda Joseph, Xiao-Zhi Gao

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QoS Based IoT Applications in LoRa Networks Using Multi-Dimensional Allocation Strategy by Ghassan El Helou, Marc Ibrahim, Rami Tawil, Yasser Mohanna

“…MixRA-opt is an optimization approach, while MixRA-H is a heuristic approach that serves as a simple approximation of the optimized method. …”
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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

“…The integration of Digital Twins allowed for precise real-time modeling of system behavior, while Deep Learning algorithms effectively identified and predicted faults. …”
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Analysis of the impact of mobile robots on the efficiency of warehousing and transport processes in modern textile manufacturing by Karabegović Isak

“…AMRs leverage advanced technologies such as LiDAR sensors, SLAM algorithms, artificial intelligence, and IoT systems to navigate complex industrial environments autonomously, optimize routes, and execute tasks without direct human intervention. …”
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A Deformation Prediction Model for Concrete Dams Based on RSA-VMD-AttLSTM by Pei Liu, Hao Gu, Chongshi Gu, Yanbo Wang

“…This model utilizes the RSA to optimize the parameters K and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula> of the VMD algorithm. …”
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Construction cost prediction model for agricultural water conservancy engineering based on BIM and neural network by Kun Han, Tieliang Wang, Wenhe Liu, Chunsheng Li, Xiaochen Xian, Yingying Yang

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Machine learning prediction of permeability distribution in the X field Malay Basin using elastic properties by Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, Abdul Halim Abdul Latif, Ida Bagus Suananda Yogi, Said Jadid A. Kadir

“…Shapley Additive Explanations (SHAP) analysis was implemented to study the association between elastic properties, porosity, and permeability, while Recursive Feature Elimination with Cross-Validation (RFECV) determined the optimal feature configuration. …”
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Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis by Abrar Alotaibi, Moataz Ahmed

“…Neural Architecture Search (NAS) has emerged as a pivotal technique in optimizing the design of Generative Adversarial Networks (GANs), automating the search for effective architectures while addressing the challenges inherent in manual design. …”
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Improving quantum metrology protocols with programmable photonic circuits by de las Heras Alberto Muñoz, Porras Diego, González-Tudela Alejandro

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Simulation of Patch Field Effect in Space-Borne Gravitational Wave Detection Missions by Mingchao She, Xiaodong Peng, Li-E Qiang

“…These results establish a foundation for optimizing mitigation strategies against patch-induced noise in future space missions.…”
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Unified Analysis of Decentralized Gradient Descent: A Contraction Mapping Framework by Erik G. Larsson, Nicolo Michelusi

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Data stream mining techniques for real-time monitoring and control of smart power grids in Kenya: challenges and opportunities by Cornelius Mutuku Mulevu, George Onyango Okeyo, Joseph Muliaro Wafula

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Battery Charging Simulation of a Passenger Electric Vehicle from a Traction Voltage Inverter with an Integrated Charger by Evgeniy V. Khekert, Boris V. Malozyomov, Roman V. Klyuev, Nikita V. Martyushev, Vladimir Yu. Konyukhov, Vladislav V. Kukartsev, Oleslav A. Antamoshkin, Ilya S. Remezov

“…The experiments show the achievement of a realized capacity of 8.9 Ah and an integral efficiency of 85.5%, while the temperature regime remains within safe limits. …”
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Priority-aware task offloading for LEO satellite edge computing network: a multi-agent deep reinforcement learning-based approach by Juan Chen, Jie Zhong, Zongling Wu, Di Tian, Yujie Chen

“…The MA2C algorithm employs two cooperative agents to optimize scheduling strategies: one agent is responsible for prioritizing tasks, while the other focuses on task offloading decisions. …”
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Rock image classification based on improved EfficientNet by Kai Bai, Zhaoshuo Zhang, Siyi Jin, Shengsheng Dai

“…Second, the shuffle attention mechanism is integrated into the backbone network to enhance feature extraction while reducing model parameters. Finally, the Lion optimizer is employed to optimize the training process, improving both the accuracy and stability of the model. …”
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Construction of a risk prediction model for pulmonary infection in patients with spontaneous intracerebral hemorrhage during the recovery phase based on machine learning by Jixiang Xu, Yuan Li, Fumin Zhu, Fumin Zhu, Xiaoxiao Han, Liang Chen, Yinliang Qi, Yinliang Qi, Xiaomei Zhou, Xiaomei Zhou

“…Seven ML algorithms were employed to build predictive models, with performance evaluated based on the area under the receiver operating characteristic (AUC) curve, sensitivity, specificity, and accuracy. …”
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A Low-Energy Lighting Strategy for High-Yield Strawberry Cultivation Under Controlled Environments by Jun Zou, Zihan Wang, Haitong Huang, Xiaohua Huang, Mingming Shi

“…The lighting system, which combines red (655–665 nm) and full-spectrum white LEDs, was optimized using a particle swarm optimization (PSO) algorithm to enhance spatial light distribution. …”
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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…Subsequently, a deep learning-based reconstruction method, i.e., 3D Gaussian splatting (3D-GS), is utilized to construct 3D digitized traffic accident scenes from UAV-based image datasets collected in the traffic simulation environment. While visual rendering by 3D-GS struggles under adverse conditions like nighttime or rain, a clustering parameter stochastic optimization model and mixed-integer programming Bayesian optimization (MIPBO) algorithm are proposed to enhance the segmentation of large-scale 3D point clouds. …”
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Physical property-aware multi-UAV spatial coordination for energy-efficient mobile edge computing by Fengling Huang, Xuqi Su, Quanbao Wang, Fusen Guo

“…This algorithm utilizes three distinct mutation strategies and integrates an external archiving mechanism to optimize both the number and locations of UAV Task Points (TPs). …”
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