Time-Modulated Array-Based Rotating Electric-Field Vector Method for Extracting Angle Information by Geon U Kim, Sang-Hwa Yi, Jeong Phill Kim

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Experimental and Numerical Study of Shape Memory Alloys for Vibration Amplitude Reduction in Mechanical Structures by Hyginus Chidiebere Onyekachi Unegbu, Danjuma Saleh Yawas, Bashar Dan-asabe, Abdulmumin Akoredeley Alabi

“…These findings show the potential of SMAs as compact, adaptive, and energy-efficient solutions for vibration control in sectors such as aerospace, automotive, and civil engineering. Future research should focus on optimizing activation response times, improving long-term durability, and exploring more complex structural designs for enhanced performance.…”
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Radial Basis Neural Network Construction and Training for Telegraph-Code Structure Reception by D. A. Chistoprudov, V. A. Kozlov, M. R. Bibarsov, D. A. Potyagov, N. Ya. Karasik

“…It is stated that to generalize the received alphanumeric blocks it is necessary to use the second decision contour where current information on the reception and information on the duration of the observed symbol is supplied, which is the subject of further research.…”
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Heat Transfer Analysis of Passive Residual Heat Removal Heat Exchanger under Tube outside Boiling Condition by Yanbin Liu, Xuesheng Wang, Qiming Men, Xiangyu Meng, Qing Zhang

“…For the tube outside transition region, a formulation is put forward to reduce error based on the Rohsenow subcooled boiling correlation.…”
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Investigation of deformation of shell with waffle reinforcement during rolling and development of method for compensation of deviations forms by E. V. Krivonos

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Hybrid deep learning approach for rock tunnel deformation prediction based on spatio-temporal patterns by Junfeng Sun, Yong Fang, Hu Luo, Zhigang Yao, Long Xiang, Jianfeng Wang, Yubo Wang, Yifan Jiang

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Deep Learning Model for Real‐Time Flood Forecasting in Fast‐Flowing Watershed by Fan Wang, Jie Mu, Cheng Zhang, Weiqi Wang, Wuxia Bi, Wenqing Lin, Dawei Zhang

“…Through application research in three representative watersheds, we found that: First, as input information attenuates, the predictive ability of the models may decline with an extended lead time. …”
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Ultrasonic localization method based on Chan‐WLS algorithm for detecting power transformer partial discharge faults by fibre optic F‐P sensing array by Hong Liu, Tianhe Yang, Zhixian Zhang, Haoyuan Tian, Yuxuan Song, Qiuxia Sun, Wei Wang, Yunjun Geng, Weigen Chen

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Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations by E. Cheynet, E. Cheynet, J. M. Diezel, J. M. Diezel, H. Haakenstad, Ø. Breivik, Ø. Breivik, A. Peña, J. Reuder, J. Reuder, J. Reuder

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Rehabilitation exoskeleton system with bidirectional virtual reality feedback training strategy by Yongsheng Gao, Guodong Lang, Chenxiao Zhang, Rui Wu, Yanhe Zhu, Yu Zhao, Jie Zhao

“…The system integrates a VR environment, the exoskeleton entity, and research on rehabilitation assessment metrics derived from surface electromyographic signal (sEMG). …”
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Prediction of properties of electroless nickel plating with diamond powder based on artificial neural network by Lili FANG, Han LIU, Yufei JIANG

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Detection of cyber attacks in electric vehicle charging systems using a remaining useful life generative adversarial network by Hayriye Tanyıldız, Canan Batur Şahin, Özlem Batur Dinler, Hazem Migdady, Kashif Saleem, Aseel Smerat, Amir H. Gandomi, Laith Abualigah

“…Furthermore, we assess the prediction results of different deep learning models, such as gated recurrent units (GRUs), long short-term memory (LSTM), recurrent neural networks (RNNs), convolution neural networks (CNNs), multi-layer perceptron (MLP), and dense layer integrated with generative adversarial networks (GANs), using mean absolute error (MAE), root mean square error (RMSE), mean squared error (MSE), and R-squared (R2). …”
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State of Charge Estimation in Batteries for Electric Vehicle Based on Levenberg–Marquardt Algorithm and Kalman Filter by Qian Huang, Junting Li, Qingshan Xu, Chao He, Chenxi Yang, Li Cai, Qipin Xu, Lihong Xiang, Xiaojiang Zou, Xiaochuan Li

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Urban Canopy Parameters’ Computation and Evaluation in an Indian Context Using Multi-Platform Remote Sensing Data by Kshama Gupta, Bhoomika Ghale, Ashutosh Bhardwaj, Anshika Varshney, Shweta Khatriker, Vinay Kumar, Prasun Kumar Gupta, Pramod Kumar

“…Performance evaluation of computed UCPs against a 3D reference geodatabase showed high prediction accuracy for most UCPs, with overall biases, mean absolute error, and root-mean-square error values significantly better than 1 m, with strong correlation (0.8–0.9). …”
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Viscosity modelling of chlorinated brines in three-component systems with a continuously variable temperature range between 293-323 K by Andrés Soto-Bubert, Rashmi Bhardwaj, Satheeshkumar Rajendran, Roberto Acevedo

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A New Method for Weak Fault Feature Extraction Based on Improved MED by Junlin Li, Jingsheng Jiang, Xiaohong Fan, Huaqing Wang, Liuyang Song, Wenbin Liu, Jianfeng Yang, Liangchao Chen

“…The method uses the shuffled frog leaping algorithm (SFLA), finds the set of optimal filter coefficients, and eventually avoids the artificial error influence of selecting threshold parameter. …”
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ENHANCING WEIGHTED FUZZY TIME SERIES FORECASTING THROUGH PARTICLE SWARM OPTIMIZATION by Armando Jacquis Federal Zamelina, Suci Astutik, Rahma Fitriani, Adji Achmad Rinaldo Fernandes, Lucius Ramifidisoa

“…The evaluation indicates a Mean Absolute Percentage Error (MAPE) value of 1.25 and a Root Mean Square Error (RMSE) of 0.32 for the Proposed model. …”
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Modelling the Spatial Distribution of <i>Dosidicus gigas</i> in the Southeast Pacific Ocean at Multiple Temporal Scales Based on Deep Learning by Mingyang Xie, Bin Liu, Xinjun Chen, Wei Yu, Jintao Wang, Jiawen Xu

“…As the temporal scale decreased, the mean squared error and the mean absolute error increased, whereas the area under the precision−recall curve decreased, indicating a decline in model performance. …”
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Development and evaluation of spirometry reference equations at high altitude by Yanyan Li, Zhenzhen Xing, Xiangda Zhang, Yanlu Hu, Yanfei Guo

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A model adapted to predict blast vibration velocity at complex sites: An artificial neural network improved by the grasshopper optimization algorithm by Yong Fan, Guangdong Yang, Yong Pei, Xianze Cui, Bin Tian

“…Through a comprehensive evaluation of the running time results, the root mean square error (RMSE), mean absolute error (MAE), and determination coefficient (R2), a new algorithm, the grasshopper optimization algorithm (GOA), which is suitable for optimizing an ANN to predict PPV, is obtained. …”
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