Results 91 to 100 of about 52,077 (195)
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Learning Continuous Decomposable Models Using Mutual Information and Statistical Copulas. [PDF]
Desuó Neto L +3 more
europepmc +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
Detection of brain network abnormalities by graph invariants in Alzheimer's disease using MRI images. [PDF]
NallappaBhavithran G, Selvakumar R.
europepmc +1 more source
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li +6 more
wiley +1 more source
Self-supervised non-dominated sorted model for co-clustering. [PDF]
Li X, Wang H, Yang W, Wang L, Li T.
europepmc +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
A graph-theoretic framework for quantitative analysis of angiogenic networks. [PDF]
Okoro G +8 more
europepmc +1 more source
Material‐Based Intelligence: Autonomous Adaptation and Embodied Computation in Physical Substrates
This perspective formulates a unifying framework for Material‐Based Intelligence (MBI), defining the physical requirements for materials to achieve embodied action, active memory and embodied information processing through intrinsic nonequilibrium dynamics. The design of intelligent materials often draws parallels with the complex adaptive behaviors of
Vladimir A. Baulin +4 more
wiley +1 more source
Collision-free morgan fingerprints: a principled approach to enhance machine learning performance and interpretability in chemistry. [PDF]
Li J, Qu X, Zhang W, Zhong S.
europepmc +1 more source

