Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, enabling researchers to process large volumes of environmental data and satellite ...

Sight, Deep Learning, Convolutional Neural Network, Long Short-Term Memory, Self-Attention Mechanism Share and Cite: Li, G. , Wei, G. and Xi, Z. (2026) UWB NLOS Signal Recognition Based on Deep ...

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...

Drug-drug interactions (DDI) can cause adverse drug reactions during the co-administration of multiple drugs, necessitating accurate and scalable prediction tools. While deep learning models have ...

To use this evidence, investigators typically must grow the larvae until adulthood in a laboratory setting and then identify ...

Cybersecurity researchers are warning that the foundations of digital trust are under strain as malware grows more adaptive, evasive and collaborative. In response, a team of Romanian scientists has ...

Mosquitoes transmit several pathogens of public health importance, including malaria, dengue, chikungunya and Zika. These ...

There's something interesting happening with the celebrities we've known, loved, and followed for decades: They don't seem to be aging like the rest of us. Lindsay Lohan, at the height of her ...

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...

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