Results 211 to 220 of about 166,225,520 (254)
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Revisiting Planting Density in Rainfed Olive: Yield, Water Productivity and Resilience in Different Mediterranean Regions. [PDF]
Garcia-Tejera O, López-Bernal Á.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Beyond Binary: Cardiac Patterning as Probabilistic Fate Restriction. [PDF]
Ivanovitch K.
europepmc +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
Phylogeography and molecular evolution of Newcastle disease virus across a century of global surveillance. [PDF]
Ul-Rahman A, Shabbir MZ, Munir M.
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
A comprehensive RNA virome from molluscan transcriptomes reveals extensive diversity and modular genome evolution. [PDF]
Li J +14 more
europepmc +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Spatio-temporal analysis of dengue outbreaks in India (2021-2025): evidence from the secondary analysis of Integrated Disease Surveillance Programme. [PDF]
Marinaik SB +9 more
europepmc +1 more source

