Results 271 to 280 of about 678,145 (379)
Dynamic Feature Selection and Coarse-To-Fine Search for Content-Based Image Retrieval
, 2005 Jane You +3 more
openalex +1 more source
Advanced Materials, EarlyView.Stem cell spheroids, produced via a high‐throughput microfabrication technique, are transported within a vortex generated at the outlet channels of a cross‐slot millifluidic chip. For Reynolds number exceeding 170–200, intermittent high shear stresses applied to each spheroid within the vortex trigger a massive release of biologically active ...
Elliot Thouvenot +8 more
wiley +1 more source
Stochastic optimized relevance feedback particle swarm optimization for content based image retrieval. [PDF]
ScientificWorldJournal, 2014 Imran M +3 more
europepmc +1 more source
Advanced Materials, EarlyView.The hollow gyroid carbon (HGC), synthesized via the self‐assembly of block copolymers and vapor pressure‐induced hollow structuring, provides a robust platform for embedding Pt nanoparticles. The HGC morphology facilitates efficient mass transport while the pyridine N inherent in the block copolymer enhances electrical conductivity and electrochemical ...
Gun Ho Lee +8 more
wiley +1 more source
Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions. [PDF]
Med Phys, 2015 Gundreddy RR +5 more
europepmc +1 more source
A Bio‐Inspired Perspective on Materials Sustainability
Advanced Materials, EarlyView.This perspective discusses natural materials as inspiration for sustainable engineering designs and the processing of materials. First, circularity, longevity, parsimony, and activity are presented as essential material paradigms. The perspective then uses many examples of natural and technical materials to introduce principles such as oligo ...
Wolfgang Wagermaier +2 more
wiley +1 more source
Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images. [PDF]
Sci Rep, 2016 Sparks R, Madabhushi A.
europepmc +1 more source
Advanced Materials, EarlyView.The SciAgents AI model drives hypothesis generation by harnessing multi‐agent graph reasoning, extracting insights from knowledge graphs constructed from scientific papers. Each agent plays a specific role: the Ontologist defines concepts, the Scientists draft and refine proposals, and the Critic reviews.
Alireza Ghafarollahi, Markus J. Buehler
wiley +1 more source