Physics Meets AI: New Neural Network Tames Electric Vehicle Range Anxiety
Researchers have developed a physics-informed neural network with an attention mechanism that predicts electric vehicle range with far greater accuracy ...
Researchers have developed a physics-informed neural network with an attention mechanism that predicts electric vehicle range with far greater accuracy ...
New SWOT satellite measurements reveal that machine learning river models fail most severely on dammed, arid-region, and Arctic rivers, challenging ...
A new machine learning framework called Seq2DomML predicts residue-level protein domain boundaries in bacterial proteins directly from sequence, outperforming established ...
Binghamton University researchers have built CoughNet, a low-cost Raspberry Pi and LoRa sensor network that counts unique coughers in a ...
Researchers in China have developed a structure-adaptive Belief Rule Base tuned by an improved whale optimization algorithm that automates heart ...
A Nature Biotechnology commentary highlights how shotgun genetic engineering, which tests vast random combinations of genes in mammalian cells, enabled ...
A Chinese research team has built a radiomics and deep learning model that predicts brain invasion in meningiomas from routine ...
Researchers at the Indian Institute of Remote Sensing used a random forest model to downscale GRACE satellite gravity data, revealing ...
A new hybrid algorithm combining spider-inspired optimization with fuzzy neural networks achieves 96.1 percent accuracy in tourism demand prediction and ...
Researchers in India have developed a multi-phase fusion architecture that identifies stable, consistent features across a writer's genuine signatures, achieving ...
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© 2025 Scienmag - Science Magazine