Results 231 to 240 of about 42,356 (316)
This study introduces a real‐time light detection and ranging‐camera fusion framework for vehicle detection and tracking. Using a Gaussian mixture model‐based association and improved affinity metrics, the method enhances tracking reliability in dynamic conditions.
Muhammad Adeel Altaf, Min Young Kim
wiley +1 more source
A machine learning‐assisted workflow integrates experimental data mining, model training, and SHapley Additive exPlanations‐based interpretation to map the coupled effects of catalyst morphology, particle size, and applied potential on CO2 electroreduction selectivity, revealing critical multifactorial trends for designing Cu‐based catalysts toward ...
Chengxi Yao +6 more
wiley +1 more source
"It's a reality brought to us by the patients": a qualitative study on general practitioners' views on and experience with complementary medicine in Switzerland. [PDF]
Dubois J, Rodondi PY, Akre C.
europepmc +1 more source
Infrared‐Driven Polymer Intelligence
Infrared spectroscopy is combined with machine learning to accurately predict the glass transition temperature of polymers and enable real‐time process control. The approach outperforms traditional molecular fingerprints by capturing subtle spectral variations due to impurities and additives.
Gorkem Anil Al +4 more
wiley +1 more source
Neuromorphic Device Based on Material and Device Innovation toward Multimode and Multifunction
In the era of big data, multimodal and multifunctional neuromorphic devices offer significant opportunities in designing AI hardware. In this work, recent advances about emerging material systems and novel device structures in this field are summarized in detail. Potential applications are reviewed.
Feng Guo +3 more
wiley +1 more source
Older adults' perceptions and needs regarding mental health WeChat applet: a qualitative study. [PDF]
Qiu YF +9 more
europepmc +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source

