Examining the relationship of inflation, gross domestic product, oil price, foreign direct investment, and trade openness on unemployment in Saudi Arabia by Lansheng Cao, Sayed Fayaz Ahmad, Yajun Wang, Syed Jamal Shah, Muhammad Ibrahim, Fuad Mohammed Alhamdi, Mahmoud Izzat Allaham, Ansar Abbas

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Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting by Zihan CHEN, Wei TENG, Xuefeng XU, Xian DING, Yibing LIU

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Accurate, Fast, and Non-Destructive Net Charge Measurement of Levitated Nanoresonators Based on Maxwell Speed Distribution Law by Peng Chen, Nan Li, Tao Liang, Peitong He, Xingfan Chen, Dawei Wang, Huizhu Hu

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Nonlinear Modeling of a Piezoelectric Actuator-Driven High-Speed Atomic Force Microscope Scanner Using a Variant DenseNet-Type Neural Network by Thi Thu Nguyen, Luke Oduor Otieno, Oyoo Michael Juma, Thi Ngoc Nguyen, Yong Joong Lee

“…The experimental results successfully demonstrate the efficacy of the proposed model by reducing the relative root-mean-square (RMS) error to less than 0.1%.…”
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Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems by William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, Carlos Frederico de Oliveira Barros, Rodolfo Cardoso, Gabriel Villarrubia Gonzalez

“…The result of the mean absolute percentage error equal to 0.0148 shows that the wavelet CNN‐LSTM is a promising machine‐learning methodology for electricity generation forecasting. …”
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Seamless finer-resolution soil moisture from the synergistic merging of the FengYun-3 satellite series by Daniel F. T. Hagan, Seokhyeon Kim, Guojie Wang, Xiaowen Ma, Yifan Hu, Yi Y. Liu, Alexander Barth, Haonan Liu, Waheed Ullah, Isaac K. Nooni, Samuel A. Bhatti

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Hierarchical Bayesian Reliability Model for Wind Turbines with Small Fault Sample Sets by Dameng WANG, Zhiyong MA, Yibing LIU, Wei TENG

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A low resistance circular diverter tee based on an improved random forest model by Ao Tian, Angui Li, Ran Gao, Ruoyin Jing, Yi Wang, Yan Tian, Yibu Gao, Junkai Ren, Yingying Wang

“…Unlike existing studies on local component resistance reduction that rely on trial-and-error empirical methods, this study introduces a posterior optimization approach that can obtain a global optimal solution within a given range. …”
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Life Time Prediction of an Electromagnet Relay using Clustering based Principal Component Analysis with Hybrid Deep Learning Model by T. Maris Murugan, C. Reeda Lenus, S. Sridharan, A. Malligarjun

“…The objective of this research work will be to design a model with much higher precision and efficiency utilizing PCA coupled with a hybrid deep learning architecture of Bi-LSTM along with Bi-GRU. …”
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Maximum elongation degradation model and service life prediction for HTPB propellant under constant strain and chemical aging effects by Tingjing Geng, Hongfu Qiang, Heyang Miao, Xueren Wang, Zhejun Wang, Huimin Zhang

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A Comparative Study of Electric Vehicles Battery State of Charge Estimation Based on Machine Learning and Real Driving Data by Salma Ariche, Zakaria Boulghasoul, Abdelhafid El Ouardi, Abdelhadi Elbacha, Abdelouahed Tajer, Stéphane Espié

“…The neural networks consistently show high predictive precision across different scenarios within the datasets, outperforming other models by achieving the lowest mean squared error (MSE) and the highest R² values.…”
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Construction Experience of German Electricity Market Adapting to Energy Transition by Zhengnan GAO, Nan JIANG, Qixin CHEN, Jiang XU, Haili WANG, Li XIN, Qinggui XU

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Partial Discharge Localization Method Based on UHF Wireless Sensor Array in Air-insulated Substation by Shuai YAN, Pengyu LI, Gaojie WANG, Qiang LI, Fan WU, Lingen LUO

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A Multi-Spatial Scale Ocean Sound Speed Prediction Method Based on Deep Learning by Yu Liu, Benjun Ma, Zhiliang Qin, Cheng Wang, Chao Guo, Siyu Yang, Jixiang Zhao, Yimeng Cai, Mingzhe Li

“…Specifically, relative to the measured data, it achieved a root mean square error (RMSE) of approximately 0.57 m/s and a mean absolute error (MAE) of about 0.29 m/s. …”
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Prediction of Soybean Yield at the County Scale Based on Multi-Source Remote-Sensing Data and Deep Learning Models by Hongkun Fu, Jian Li, Jian Lu, Xinglei Lin, Junrui Kang, Wenlong Zou, Xiangyu Ning, Yue Sun

“…The ant colony optimization-convolutional neural network with gated recurrent units and multi-head attention (ACGM) model showcases remarkable predictive prowess, as evidenced by a coefficient of determination (R²) of 0.74, a root mean square error (RMSE) of 123.94 kg/ha, and a mean absolute error (MAE) of 105.39 kg/ha. …”
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Electrical Equivalent Circuit Parameter Estimation of Commercial Induction Machines Using an Enhanced Grey Wolf Optimization Algorithm by Premkumar Manoharan, Sowmya Ravichandran, Jagarapu S. V. Siva Kumar, Mustafa Abdullah, Tan Ching Sin, Tengku Juhana Tengku Hashim

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Tree Top Detection in UAV Data: Evaluating Accuracy of Different Estimation Techniques by A. Hosingholizade, Y. Erfanifard, Y. Erfanifard, S. K. Alavipanah, V. García Millan, S. Pirasteh, S. Pirasteh, A. N. Arslan, A. N. Arslan

“…LM provided the most accurate results overall, with a relative root-mean-square error (RRMSE) of 1.08, a mean error (ME) of 0.97, and a bias score (BS) of 0.23. …”
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A Method for the 3D Reconstruction of Landscape Trees in the Leafless Stage by Jiaqi Li, Qingqing Huang, Xin Wang, Benye Xi, Jie Duan, Hang Yin, Lingya Li

“…With the advancement of Computer Vision (CV) and laser remote sensing technology, forestry researchers can use images and point cloud data to perform digital modeling. …”
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Enhancing Power Generation Forecasting in Smart Grids Using Hybrid Autoencoder Long Short-Term Memory Machine Learning Model by Ahsan Zafar, Yanbo Che, Muneer Ahmed, Muhammad Sarfraz, Ashfaq Ahmad, Mohammad Alibakhshikenari

“…Using real-time solar power production data spanning a year, these models are trained and evaluated using mean absolute error (MAE) and mean squared error (MSE) as performance metrics. …”
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SWOT mission enables high-precision and wide-coverage lake water levels monitoring on the Tibetan Plateau by Suhui Wu, Yu Cai, Chang-Qing Ke, Yao Xiao, Haili Li, Zhiyue He, Zheng Duan

“…These results highlight SWOT's potential for global lake monitoring, offering new opportunities for water resource management and climate change research.…”
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