Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...
Entanglement in proteins is a fascinating structural motif that is neither easy to detect via traditional methods nor fully understood. Recent advancements in AI-driven models have predicted that ...
Flooding remains one of the most devastating and costly natural disasters. As flooding events grow in frequency and intensity, it has become increasingly important to improve flood monitoring, ...
This valuable study advances our understanding of spatial-temporal cell dynamics both in vivo and in vitro. The authors provide solid evidence for their innovative deep learning-based apoptosis ...
For our study we have used the OMNI dataset obtained from the CDAWeb repository (https://cdaweb.gsfc.nasa.gov/pub/data/omni/omni_cdaweb/) at 1-min resolution. The ...
Long Short-Term Memory networks or [LSTMs](https://www.machinecurve.com/index.php/2020/12/29/a-gentle-introduction-to-long-short-term-memory-networks-lstm/) are ...
Classify crop types from sequences of satellite images using temporal deep learning. Rather than a single snapshot, the model learns each crop's unique growth curve across an entire season. A field of ...
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