Explainable AI helps deep learning predict cloud server loads in real time
Researchers in India have built an explainable deep learning framework that forecasts cloud host load in real time with about ...
Researchers in India have built an explainable deep learning framework that forecasts cloud host load in real time with about ...
Researchers at the University of KwaZulu-Natal have developed an algorithm that detects and repairs timestamp-displaced sensor data by exploiting spatial ...
A leakage-aware artificial intelligence framework trained on six seasons of commercial farm data forecasts daily strawberry yields with a pretrained ...
A new spiral-based transformation converts time series into images that let pretrained vision models outperform specialized anomaly detectors across 23 ...
Researchers at Anhui Agricultural University have developed DE-TabNet, a semi-supervised AI model that detects sensor faults in smart drip irrigation ...
Researchers in China have developed OzoneKBNet, a retrieval-augmented AI framework that mines historical pollution episodes to deliver more accurate 48-hour ...
A 13-year Baltic Sea time series shows that bacterial communities at identical temperatures differ radically between spring and autumn, revealing ...
A hybrid CNN–LSTM deep learning model tuned by Bayesian optimization outperformed classical and standalone neural benchmarks in quarterly GDP forecasts ...
Researchers in Beijing have unveiled a wavelet-enhanced model combining Mamba sequence modeling and graph neural networks that outperforms prevailing methods ...
A five-year study of nine commodities in Maharashtra found that ensemble machine learning models beat seasonal benchmarks but could not ...
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© 2026 Scienmag - Science Magazine