Results 131 to 140 of about 343,323 (246)
J. Jacquot
semanticscholar +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
CatDive: A simple yet effective method for maximizing category diversity in sequential recommendation. [PDF]
Lee J, Kim J, Kang U.
europepmc +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
An adaptive hybrid quadrature scheme: Combining Simpson's rule and Gaussian quadrature for enhanced numerical integration. [PDF]
Asgedom AA, Kefela YY.
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Changing perspectives: The development of preservice teachers' field-specific ability beliefs across academic disciplines. [PDF]
Asbury K, Carstensen B, Klusmann U.
europepmc +1 more source
Professional and technical retention and achievement data in the Northern Ireland further education sector for 2012/13 [PDF]
Stanley, Ian
core
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Powerful large scale inference in high dimensional mediation analysis. [PDF]
Roy A, Zhang X.
europepmc +1 more source

