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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Parameter estimation and speed control of real DC motor with low resolution encoder by Celal Onur Gökçe, Mahmut Esat İpek, Mehmet Dayıoğlu, Rıdvan Ünal

“…For parameter estimation, a popular iterative optimization algorithm, namely Particle Swarm Optimization (PSO), is used. …”
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Higher-order aberrations and spherical aberration in various age groups after LASIK and cataract surgery by Robert Edward T. Ang, Patricia L. Lee, Ryan S. Torres, Michelle Marie Q. Araneta, Emerson M. Cruz, Maria Socorro M. Torno

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A Proposed Vision for Using Artificial Intelligence in Enhancing Strategic Value of Human Resources by Nadera Hourani

“…These benefits include efficiency gains, increased employee satisfaction, and strategic workforce optimization. Yet, there are significant challenges in the form of algorithmic bias, data privacy concerns, and organizational readiness. …”
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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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Efficient implementation of post-quantum digital signatures on Raspberry Pi by Mahmood A. Al-Shareeda, Ahmed Abdul Hassan Ghadban, Ali Abdul Hadi Glass, Esam Mohamed Abdul Hadi, Mohammed Amin Almaiah

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Unified Analysis of Decentralized Gradient Descent: A Contraction Mapping Framework by Erik G. Larsson, Nicolo Michelusi

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Clustering and Interpretability of Residential Electricity Demand Profiles by Sarra Kallel, Manar Amayri, Nizar Bouguila

“…This study explores a wide number of clustering algorithms by comparing hard clustering algorithms (K-Means, K-Medoids) versus soft clustering techniques (Fuzzy C-Means, Gaussian Mixture Models) in segmenting electricity consumption profiles. …”
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Smart agriculture using IoT for automated irrigation, water and energy efficiency by Subir Gupta, Subrata Chowdhury, Ramya Govindaraj, Kassian T.T. Amesho, Sumarlin Shangdiar, Timoteus Kadhila, Sioni Iikela

“…This study presents an innovative smart agriculture system that integrates Internet of Things (IoT) technologies, predictive algorithms, and automated control mechanisms to optimize irrigation and enhance resource efficiency. …”
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HIV‐1 testing in the context of expanding PrEP modalities by Urvi M. Parikh, Jana L. Jacobs, Njambi Njuguna, Kristine Torjesen, John W. Mellors

“…Current best practices indicate the use of rapid diagnostic tests or self‐testing as recommended by national testing algorithms and the World Health Organization (WHO). …”
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Research on path planning for coal mine rescue robots by ZHU Hongbo, YIN Hongliang

“…This paper proposes a path planning method for coal mine rescue robots based on a Hierarchical Smooth Optimization Bidirectional A* guided dynamic window approach (HSTA*-G-DWA) algorithm. …”
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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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Facial Expression Recognition and Digital Images Infosecurity for Prevention Care System Application in Sudden Infant Death Syndrome Monitoring by Chih-Te Tsai, Chia-Hung Lin, Hsiang-Yueh Lai, Yu-En Cheng, Ping-Tzan Huang, Neng-Sheng Pai, Chien-Ming Li

“…The stochastic gradient descent (SGD) algorithm was employed to optimize the classifier’s model parameters for further enhancing accuracy for the intended purposes. …”
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Fault Diagnosis of Rolling Element Bearing Based on BiTCN-Attention and OCSSA Mechanism by Yuchen Yang, Chunsong Han, Guangtao Ran, Tengyu Ma, Juntao Pan

“…This paper proposes a novel fault diagnosis framework that integrates the Osprey–Cauchy–Sparrow Search Algorithm (OCSSA) optimized Variational Mode Decomposition (VMD) with a Bidirectional Temporal Convolutional Network-Attention mechanism (BiTCN-Attention). …”
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Virtual Validation and Uncertainty Quantification of an Adaptive Model Predictive Controller-Based Motion Planner for Autonomous Driving Systems by Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Satyesh Shanker Awasthi, Michael Khayyat, Stefano Arrigoni, Francesco Braghin

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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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Bridging ACO-Based Drone Logistics and Computing Continuum for Enhanced Smart City Applications by Salvatore Rosario Bassolillo, Egidio D’Amato, Immacolata Notaro, Luca D’Agati, Giovanni Merlino, Giuseppe Tricomi

“…The proposed system addresses the Capacitated Vehicle Routing Problem (CVRP) by considering both drone capacity constraints and autonomy, using the ACO-based algorithm to efficiently assign delivery destinations while minimizing travel distances. …”
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