Tag: time series

Researchers in Hangzhou have developed MGCRN, a graph-based recurrent neural network that maintains high forecasting accuracy on spatio-temporal data even ...

A six-year monthly time series in Bahía de Navidad reveals that chaetognath communities respond primarily to seasonal upwelling cycles, with ...

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 ...