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 ...
Tech Xplore on MSN
Scalable thermal drawing method creates liquid metal fibers for wearable electronics
Over the past decades, many research teams worldwide have started working on electronic fibers. These are yarn-like ...
News-Medical.Net on MSN
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.
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