Results 31 to 40 of about 1,185 (145)
Modeling and performance analysis of moving V2V 5G NR systems
e-Prime: Advances in Electrical Engineering, Electronics and EnergyVehicle-to-vehicle (V2V) communication is a promising solution for enhancing network performance. This paper presents the modeling and performance analysis of moving V2V fifth generation new radio (5G NR) systems using Poisson point process (PPP) and ...
Mohamed Rjab +4 more
doaj +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
Advanced Intelligent Discovery, EarlyView.This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley +1 more source
Angewandte Chemie, Volume 138, Issue 30, 20 July 2026.Bayesian optimization was used to optimize the synthesis parameters of the solid electrolyte Li7SiPS8$\mathrm {Li}_7\mathrm {SiPS}_8$ in order to increase the ionic conductivity. After only 32 iterations, the ionic conductivity was successfully increased from 2 to 7 mS cm−1$\mathrm {cm}^{-1}$ at 25∘C$^\circ\mathrm {C}$, while synthesis temperature and ...
Lucas G. Balzat +8 more
wiley +2 more sources
Advanced Intelligent Discovery, EarlyView.A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Annealed Invariance Principle for Random Walks on Random Graphs Generated by Point Processes in R-d [PDF]
, 2016 International audienceWe consider simple random walks on random graphs embedded in R-d and generated by point processes such as Delaunay triangulations, Gabriel graphs and the creek-crossing graphs.
Rousselle, Arnaud
core
Efficient approximation of random fields for numerical applications [PDF]
, 2014 This article is dedicated to the rapid computation of separable expansions for the approximation of random fields. We consider approaches based on techniques from the approximation of non-local operators on the one hand and based on the pivoted Cholesky ...
Michael Peters +5 more
core +1 more source
Land Degradation &Development, EarlyView.ABSTRACT Rapid urbanization and agricultural expansion are reshaping human–environment relationships in arid regions; however, the spatially heterogeneous and nonlinear relationships between human activities and ecosystem services remain insufficiently understood.
Hui Zhao +4 more
wiley +1 more source
SPATIAL POINT PROCESS ANALYSIS OF AT SEA SEAL ENCOUNTERS [PDF]
, 2011 We consider a data set comprising encounters between gray seals off Sable Island in the autumn of 2009. We apply Spatial Point Pattern data analysis approaches to this data set and demonstrate the effectiveness of these techniques.
Carson, Stuart
core
Acta Ophthalmologica, EarlyView.Abstract This systematic review and meta‐analysis evaluates the performance of artificial intelligence (AI)‐based models for predicting the onset and progression of refractive error (RE) in children and adolescents and quantitatively synthesizes their prediction accuracy.
Athanasia Sandali +6 more
wiley +1 more source