Results 131 to 140 of about 8,736,022 (255)
Semiparametric hybrid air quality forecasting using prophet ensemble and feature selection. [PDF]
Yaqoob N +5 more
europepmc +1 more source
We mechanically program liquid crystal elastomer coatings as a stimuli‐responsive and digitally addressable platform for refreshable tactile displays; we validate the perceptual performance of our dynamic device matches conventional static tactile media.
Tom Bruining +9 more
wiley +1 more source
Machine learning prediction model for the sewing thread consumption. [PDF]
Ahmad F +4 more
europepmc +1 more source
Inorganic compound‐modified separators transform lithium–sulfur batteries from passive polysulfide confinement to active reaction‐pathway regulation. A Practical Relevance Index (PRI)‐guided framework bridges interfacial chemistry of inorganic separators with practical constraints, establishing unified design principles for scalable, high‐energy ...
Yuting Qin +7 more
wiley +1 more source
Early Detection of Glottic Cancer Through Machine Learning and Acoustic Voice Analysis: A Systematic Review. [PDF]
Verma H +8 more
europepmc +1 more source
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong +6 more
wiley +1 more source
Machine learning and deep learning-based prediction of hypertension and analysis of its major risk factors in Bangladesh. [PDF]
Chandra S +5 more
europepmc +1 more source
Artificial Intelligence Meets Micro/Nanorobotics
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
Predicting student academic performance using TabPFN and SHAP: An interpretable machine learning approach. [PDF]
Yin Q.
europepmc +1 more source
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh +5 more
wiley +1 more source

