Results 231 to 240 of about 582,654 (299)
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu +9 more
wiley +1 more source
Enhanced Recovery after Cardiac Surgery: Obstacles to Implementation. [PDF]
Kapoor MC.
europepmc +1 more source
Learning to consume: What is heritage and when is it traditional? [PDF]
Graburn, NHH
core +1 more source
Illuminating innovations: a conversation with René-Jean Essiambre on the frontiers of optical communication. [PDF]
Wan Y, Zang C.
europepmc +1 more source
From learned helplessness to motor recovery: integrating intensive neurorehabilitation in poststroke spastic paresis-clinical insights from over 10 years of practice. [PDF]
Npochinto Moumeni I.
europepmc +1 more source
Can AI help with the hardest thing: pro health behavior change. [PDF]
Miller DD.
europepmc +1 more source
Curriculum Innovation: An Interactive, Case-Based, Multimodal Preclinical Neuroanatomy Teaching Curriculum. [PDF]
Hayes CL +3 more
europepmc +1 more source
The Company of Biologists: a century in review. [PDF]
Moulton OC +3 more
europepmc +1 more source

