While hybrids significantly reduce emissions in urban and low-speed driving conditions, the authors highlight that their ...
A new study published in Applied Sciences (MDPI) demonstrates how artificial intelligence can accurately predict carbon ...
The researchers argue that traditional vaccine development methods, which rely heavily on laboratory experimentation and long ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
Microplastics – the tiny particles of plastic shed when litter breaks down – are everywhere, from the deep sea to Mount Everest, and many researchers worry that they could harm human health. I am a ...
A machine learning model that designs the color of metal thin films using AI has been developed, drawing significant ...
Tech Xplore on MSN
Software tool shows clear advantage in water purity prediction
A powerful new software tool that can accurately predict the performance of biofilters used by the water industry could ...
NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.
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