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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Measuring implicit associations with behaviours to improve resident mood: development of implicit association tasks for nursing home care providers by Inge Knippenberg, Ruslan Leontjevas, Ine Declercq, Jacques van Lankveld, Debby Gerritsen

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Cross-cultural adaptation and validation of the Chinese version of the taste and smell survey for cancer patients by Haixin Liang, Qing Yang, Li Yin, Huarong Pang, Enmei Jiu, Bin Li, Lei Qin

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The Best DFT Functional Is the Ensemble of Functionals by Yuting Rui, Yuxinxin Chen, Elena Ivanova, Vignesh Balaji Kumar, Szymon Śmiga, Ireneusz Grabowski, Pavlo O. Dral

“…Abstract The development of better density functional theory (DFT) methods is one of the most active research areas, given the importance of DFT for ubiquitous molecular and materials simulations. …”
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OGLE-2016-BLG-1195Lb: A Sub-Neptune Beyond the Snow Line of an M-dwarf Confirmed by Keck Adaptive Optics by Aikaterini Vandorou, Lisa Dang, David P. Bennett, Naoki Koshimoto, Sean K. Terry, Andrzej Udalski, Jean-Philippe Beaulieu, Christophe Alard, Aparna Bhattacharya, Joshua W. Blackman, Ian A. Bond, Tarik Bouchoutrouch-Ku, Andrew A. Cole, Nicolas B. Cowan, Jean-Baptiste Marquette, Clément Ranc, Natalia E. Rektsini, Sylvain Cetre, Jim Lyke, Eduardo Marin, Peter Wizinowich

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Stochastic‐gradient‐based control algorithms for power quality enhancement in solar photovoltaic interfaced three‐phase distribution system by Dinanath Prasad, Narendra Kumar, Rakhi Sharma, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez, Mohammad Asef Hossaini

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Comparative Model Efficiency Analysis Based on Dissimilar Algorithms for Image Learning and Correction as a Means of Fault-Finding by Joe Benganga, Tshepo Kukuni, Ben Kotze, Lepekola Lenkoe

“…As a result of the opportunities that artificial intelligence presents to different sectors by optimally performing tasks with less error compared to humans or traditional models, the use of AI in artefact detection is being investigated. …”
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Enhancing Road Safety on US Highways: Leveraging Advanced Computer Vision for Automated Guardrail Damage Detection and Evaluation by Alfarooq Al Oide, Dmitry Manasreh, Mohammad Karasneh, Mohamad Melhem, Munir D. Nazzal

“…Traditional inspection methods are labor-intensive, time-consuming, and prone to human error, lacking periodic monitoring crucial for timely maintenance. …”
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Deep Reinforcement Learning-Based Joint Routing and Capacity Optimization in an Aerial and Terrestrial Hybrid Wireless Network by Zhe Wang, Hongxiang Li, Eric J. Knoblock, Rafael D. Apaza

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Short Term Photovoltaic Power Combination Prediction Method Based on Similar Day Selection and Data Reconstruction by Qingbin CHEN, Genghuang YANG, Liqing GENG, Juan SU, Jingsheng SUN

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