Reinforcement Learning Optimizes Cooling Systems in Danish Data Centers
A deep reinforcement learning framework utilizing high-fidelity digital twins optimizes cooling costs and maintains thermal stability in two Danish data ...
A deep reinforcement learning framework utilizing high-fidelity digital twins optimizes cooling costs and maintains thermal stability in two Danish data ...
Researchers have developed a diagnostic framework combining persistent homology and machine learning that detects COVID-19 in chest computed tomography scans ...
The study, conducted by Salah ElDin Olaymi, investigated the application of data mining tools within cloud environments, focusing on customer ...
Researchers have developed an interpretable deep learning framework combining feature gating and autoencoders to assess corporate debt maturity risk across ...
Published in Brain Informatics , the study introduces a precision-oriented approach that matches specific imaging data with optimal reconstruction algorithms ...
Researchers have introduced Clifti-GPT, a privacy-preserving federated framework designed to fine-tune and apply foundation models to clinical single-cell RNA sequencing ...
A study of smartphone GPS mobility records across ten major US cities revealed that data production disparities are widespread and ...
Researchers at Beihang University have developed a unified framework called the Traffic World Model, or TWM, designed to address the ...
Researchers have developed GallMine, a unified repository integrating multi-omics datasets and published literature to advance computational analysis and therapeutic discovery ...
A new study in Financial Innovation finds that cross-sectional market state data improves short-horizon forecasts for the Dow Jones but ...
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© 2025 Scienmag - Science Magazine