Results 221 to 230 of about 5,123,051 (393)
Sub-Markov Random Walk for Image Segmentation
IEEE Transactions on Image Processing, 2016 Xingping Dong +3 more
semanticscholar +1 more source
Advanced Biology, EarlyView.In this randomized clinical trial conducted among 142 community‐dwelling older adults at high risk for falls over 12 months, a Dalcroze Eurhythmics exercise intervention (once weekly, group‐based) improved a variety of physical and cognitive/executive function outcomes compared with a multicomponent exercise intervention (twice weekly, group‐ and home ...
Mélany Hars +7 more
wiley +1 more source
Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics
Advanced Biology, EarlyView.This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim +3 more
wiley +1 more source
An Entropy-Based Directed Random Walk for Cancer Classification Using Gene Expression Data Based on Bi-Random Walk on Two Separated Networks. [PDF]
Genes (Basel), 2023 Tay XH +7 more
europepmc +1 more source
Digital Methods for the Fatigue Assessment of Engineering Steels
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener +7 more
wiley +1 more source
HeteEdgeWalk: A Heterogeneous Edge Memory Random Walk for Heterogeneous Information Network Embedding. [PDF]
Entropy (Basel), 2023 Liu Z, Zhang S, Zhang J, Jiang M, Liu Y.
europepmc +1 more source
Electrospinning Technology, Machine Learning, and Control Approaches: A Review
Advanced Engineering Materials, Volume 27, Issue 7, April 2025.Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani +5 more
wiley +1 more source
GRAPE for fast and scalable graph processing and random-walk-based embedding. [PDF]
Nat Comput Sci, 2023 Cappelletti L +10 more
europepmc +1 more source