The research team introduced an enhanced SED method based on semi-supervised learning (SSL), incorporating Enhanced Feature ...
New research shows that deep learning can use EEG signals to distinguish Alzheimer’s disease from frontotemporal dementia ...
Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...
Researchers have developed a deep learning model that analyzes EEG brain activity to detect both the type and severity of ...
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FAU researchers create deep learning model that detects and evaluates Alzheimer's and FTD
Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the ...
The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...
Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis ...
Explore behavioral analysis techniques for securing AI models against post-quantum threats. Learn how to identify anomalies and protect your AI infrastructure with quantum-resistant cryptography.
Researchers have developed a new method for human identification, which could be a powerful new tool for forensic ...
Profits in the refining and petrochemical market are under siege. The impact of tariffs and rising costs – from raw materials to labor and logistics – are tightening margins while shrinking crack ...
Two-photon imaging and ocular dominance mapping. A. Optical windows for imaging of two macaques. Green crosses indicate the regions for viral vector injections, and yell ...
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