Results 51 to 60 of about 2,382 (198)
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Constructing Node-Disjoint Routes in K-Ary N-Cubes
In this paper, a method for constructing node-disjoint (parallel) paths in k-ary n-cube interconnection networks is described. We start by showing in general how to construct parallel paths in any Cartesian product of two graphs based on known paths in ...
Khaled Day, Abdel Elah Al-Ayyoub
doaj +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Craniofacial growth, modeling, and estimation of milestones
Abstract Understanding craniofacial growth is foundational for research into intra‐ and interspecies variation, evolution, and clinical care. The Craniofacial Growth Consortium Study (CGCS), combines cephalographs from historical growth studies to create a dense longitudinal record of growth from 6 to 22 years of age.
Richard J. Sherwood +6 more
wiley +1 more source
The Well-Covered Dimension Of Products Of Graphs
We discuss how to find the well-covered dimension of a graph that is the Cartesian product of paths, cycles, complete graphs, and other simple graphs. Also, a bound for the well-covered dimension of Kn × G is found, provided that G has a largest greedy ...
Birnbaum Isaac +4 more
doaj +1 more source
Unlocking the chemistry of caramel by simulations and experimental validation. αFFase1${\alpha }\rm{FFase1}$ converts inulobiose into difructose dianhydride I, one component of caramel, through two steps: a rate‐limiting glycosylation (with a rare sugar ring flip) followed by a cyclization step, guided by residues E85, K147, and N226.
Santiago Alonso‐Gil +7 more
wiley +1 more source
A Geometric Characterization of Steady Laminar Flow
ABSTRACT We study the steady states of the Euler equations on the periodic channel or annulus. We show that if these flows are laminar (layered by closed non‐contractible streamlines which foliate the domain), then they must be either parallel or circular flows.
Theodore D. Drivas, Marc Nualart
wiley +1 more source
We introduce certain concepts, including cubic graphs, internal cubic graphs, external cubic graphs, and illustrate these concepts by examples. We deal with fundamental operations, Cartesian product, composition, union and join of cubic graphs.
Sheikh Rashid +3 more
doaj +2 more sources

