Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
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Researchers demonstrate breakthroughs in cancer treatment quality through AI-enhanced data analytics
Cancer researchers at the University of Tennessee Health Science Center have published three new studies demonstrating how ...
A research team has now developed an intelligent, non-destructive method that integrates hyperspectral imaging (HSI) with a ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...
Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Tested across eight lettuce types, the system successfully visualizes pigment spatial distribution from individual leaves to full canopies, offering a ...
Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic activity. When the sun is active, fewer of these particles reach Earth; when the ...
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