Prediction of Three-Dimensional Ground Reaction Forces in the Golf Swing Using Wearable Inertial Measurement Units and Biomimetic Deep Learning Models. [PDF]
Biomimetics (Basel)Li J, Wei R, Xie Q, Wu C, Kim YH.
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Sleep quality prediction in basketball athletes using a deep learning framework with an attention mechanism based on multimodal data. [PDF]
Sci RepLiu L, Miao J.
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Governing the Energy Transition:Reality, Illusion or Necessity? Routledge Studies in Sustainability Transitions (Book Review) [PDF]
, 2013 Bolton, Ronan
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Energy Science &Engineering, EarlyView.Interpretable tree‐based models integrate microseismic, geological, and mining indicators to predict short‐term rockburst risk. SHAP analysis reveals the dominant role of energy‐related features and clarifies nonlinear factor interactions, enabling transparent and reliable early‐warning in deep coal mines.
Shuai Chen +4 more
wiley +1 more source
Neural network-driven user behavior forecasting and personalized recommendation in power marketing. [PDF]
PLoS OneYu L, Hong Y, Liu Z, Wang Z, Zhao X.
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Energy Science &Engineering, EarlyView.ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei +2 more
wiley +1 more source
A dual diffusion model-based representation learning framework for antimicrobial peptides classification. [PDF]
BioinformaticsKong W, Fu L, Jiang X, Zhao W.
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Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
Energy Science &Engineering, EarlyView.The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
Optimization of interdisciplinary competence development methods for university faculty based on artificial neural networks. [PDF]
Sci RepYang M, Pang H.
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