Predicting steady degradation in ship power system: A deep learning approach based on comprehensive monitoring parameters by Xingshan Chang, Xiaojian Xu, Bohua Qiu, Muheng Wei, Xinping Yan, Jie Liu

“…Abstract Steady degradation (SD) prediction is crucial for the intelligent operation and maintenance of ship power system (SPS). …”
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Comparison of Current Ratio Errors of Support and Toroidal Type CTs in Electric Power Systems: A Case Study by Ishak Ozer, Ali Unluturk

“…Keeping this error close to zero is critical to the reliability of Electric Power System (EPS) because it directly affects the operation of protective relays and the accuracy of energy measurement systems. …”
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Modeling and Simulation of Backlash Dynamics of Worm-Wheel System and Its Gap Size Estimation Using Kalman Filters by Abera Tullu, Jihyoung Cha, Sangho Ko

“…Nevertheless, worm-wheel systems, alike other variants of mating gear systems in EMA, suffer friction wear that leads to a backlash in the system. …”
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Long and short term fault prediction using the VToMe-BiGRU algorithm for electric drive systems by Lihui Zheng, Xu Fan, Zongshan Kang, Xinjun Jin, Wenchao Zheng, Xiaofen Fang

“…Ensuring the efficient and stable operation as well as reliability of electric drive systems has become a critical task. …”
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Research on Collaborative Optimization Strategy of Railway Signal Nonlinear Control System Based on BBO Algorithm and Multi-objective Optimization by Xue Li, Yixuan Yang, Zheng Li, Hui He

“…Currently, the railway signal control system faces performance bottlenecks such as response lag and local optima due to parameter coupling when dealing with multi-objective optimization problems like train operating speed and signal delays. …”
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Digital Twins for Intelligent Vehicle-to-Grid Systems: A Multi-Physics EV Model for AI-Based Energy Management by Michela Costa, Gianluca Del Papa

“…Validated using real-world data from a Citroën Ami operating on urban routes in Naples, Italy, it achieved exceptional accuracy with a root mean square error (RMSE) of 1.28% for dynamic state of charge prediction. …”
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Advanced Numerical Validation of Integrated Electrochemical-Thermal Models for PCM-Based Li-Ion Battery Thermal Management System by Mahdieh Nasiri, Hamid Hadim

“…The two-dimensional numerical model combines the Newman–Tiedemann–Gu–Kim (NTGK) electrochemical-thermal battery framework with the enthalpy-porosity approach for phase change material (PCM) battery thermal management systems (BTMSs). Rigorous validation against benchmarks demonstrates the model’s exceptional predictive capability across a wide range of operating conditions. …”
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Highlighting the current state of the Nigeria health system post COVID-19: positive impacts, current challenges and recommendations by Oluwasogo Jesse Familusi, David Ololade Atanda, Habib Ademola Bakenne, Muhammed Ayodeji Ahmed

“…However, some persisting issues of concern still need to be addressed which include the rising issue of brain drain in Nigeria which has caused the country to operate at a physician-to-population ratio of 4 doctors per 10,000 people as against the World Health Organization recommendation, the need to increase the health sector budgetary allocation to meet the Abuja 15% declaration and also tackle the deep-rooted corruption that undermines the effectiveness of health reforms. …”
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Analysis of heart rate as a predictor of changes in heart rate variability in children by Paulo César Trindade Costa, Adélia da Costa Pereira de Arruda Neta, Vinícius José Baccin Martins, José Luiz de Brito Alves

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Forecasting Electricity Demand in Renewable-Integrated Systems: A Case Study from Italy Using Recurrent Neural Networks by Alessandro Franco, Cecilia Pagliantini

“…Balancing electricity production and distribution remains a central challenge in modern energy systems, especially with the increasing penetration of renewable sources that introduce variability and uncertainty. …”
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Intelligent fault tolerance control using long short-term memory for efficient system performance under fault conditions by Mostafa H. El-Mahdy, Abdelrahman O. Ali, O. H. Hassan, Eman M. El-Gendy, Mahmoud M. Saafan

“…This study introduces a data-driven fault-tolerant control system that enhances the operation of control systems in the presence of faults. …”
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Advanced battery management system enhancement using IoT and ML for predicting remaining useful life in Li-ion batteries by Gopal Krishna, Rajesh Singh, Anita Gehlot, Ahmad Almogren, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…Abstract This study highlights the increasing demand for battery-operated applications, particularly electric vehicles (EVs), necessitating the development of more efficient Battery Management Systems (BMS), particularly lithium-ion (Li-ion) batteries used in energy storage systems (ESS). …”
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Optimal Flexibility Provision of Electric Vehicle and Photovoltaic Systems Through Probabilistic Forecasting and Unsuccessful Day-Ahead Market Integration by Anulekha Saha, Arnon Teawnarong, Surachai Chaitusaney

“…Integrating electric vehicles (EVs) and photovoltaic (PV) systems into power grids introduces significant challenges because of uncertainty in EV charging behavior and PV generation—particularly when real-time data are limited. …”
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A Precise High Count-Rate FPGA Based Multi-Channel Coincidence Counting System for Quantum Photonics Applications by Ekin Arabul, Stefano Paesani, Scott Tancock, John Rarity, Naim Dahnoun

“…We are proposing a Field Programmable Gate Array (FPGA) based coincidence counting system which provides 8 operational channels with 8.9 ps root mean square (RMS) resolution (with a bin width of 7.7 ps) and a count-rate of 320 million counts per second (MCPS) (with 40 MCPS per channel). …”
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Berg Balance Scale Scoring System for Balance Evaluation by Leveraging Attention-Based Deep Learning with Wearable IMU Sensors by Zhangli Lu, Huiying Zhou, Honghao Lyu, Haiteng Wu, Shaohua Tian, Geng Yang

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Zone-Wise Uncertainty Propagation and Dimensional Stability Assessment in CNC-Turned Components Using Manual and Automated Metrology Systems by Mohammad S. Alsoufi, Saleh A. Bawazeer, Mohammed W. Alhazmi, Hani Alhazmi, Hasan H. Hijji

“…In contrast, the DVC demonstrated significantly higher uncertainty (up to 0.03333 mm) and propagated errors exceeding 0.035 mm, particularly in harder materials and unsupported zones affected by surface degradation and fixture variability. Root-sum-square (RSS) modeling confirmed that manual measurements are more prone to operator-induced error amplification. …”
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Analysis of fault detection and defect categorization in photovoltaic inverters for enhanced reliability and efficiency in large-scale solar energy systems by Malik Stephanie, Daßler David, Patel Dharm, Klute Carola, Klengel Robert, Dietrich Andreas, Kaufmann Kai, Hennig Carsten, Wehnert Danny, Ebert Matthias

“…The focus is on an interdisciplinary approach, utilising methodologies from materials science, data analysis, statistics, and machine learning to investigate defect mechanisms, identify recurring issues, and analyse their impacts for a system portfolio of 64 MWp. A root cause analysis identified the failure pattern through material diagnostics of several power modules from inverters previously installed in the field. …”
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Machine learning-optimized dual-band wearable antenna for real-time remote patient monitoring in biomedical IoT systems by Umar Musa, Amor Smida, Muhammad S. Yahya, Mohamed I. Waly, Jun Jiat Tiang, Nazih Khaddaj Mallat, Surajo Muhammad, Abubakar Salisu

“…Performance evaluation of the models employed metrics such as mean absolute error (MAE), mean squared error (MSE), root mean squared logarithmic error (RMSLE), mean squared logarithmic error (MSLE), and R-squared (R2). …”
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Separation Process for Methanol–Methylal–Methyl Formate Multicomponent System in Polyformaldehyde Production Waste Liquid: Modeling and Techno-Economic Analysis by Huajie Liu, Jun Fan, Weiping Liu, Yong Wang, Qiuhong Ai, Yonglin Li

“…The vapor–liquid equilibrium (VLE) data of the ternary system methanol–methyl formate–methylal was measured at atmospheric pressure using a modified Rose equilibrium kettle with vapor–liquid double circulation method. …”
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Experimental Data and Thermodynamics Modeling (eNRTL and mUNIFAC) of the (Cyclohexane + Benzene + N,N-Dimethylformamide + Sodium Thiocyanate) Systems by Stephanie Lenhare, Beatriz Fernanda Bonfim de Souza, Fernanda Viana Miyasaki, André Zuber, Pedro Arce, Leandro Ferreira-Pinto, Stéphani Caroline Beneti, Lúcio Cardozo-Filho, Andréia Fátima Zanette

“…The results contribute to determining the optimal operating conditions for the liquid–liquid extraction of cyclohexane/benzene mixtures. …”
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