Results 251 to 260 of about 27,298 (312)

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

open access: yesMacromolecular Rapid Communications, Volume 47, Issue 12, 22 June 2026.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig   +7 more
wiley   +1 more source

Integrative Modular, Network‐Based, and Machine Learning Framework for Predicting Accessory Genome Functions and Virulence in Escherichia coli O157:H7

open access: yesMicrobiologyOpen, Volume 15, Issue 3, June 2026.
An analysis of the accessory genomes from 77 Escherichia coli O157:H7 strains using network and machine learning techniques uncovers modular communities of plasmid‐related virulence associated with IncF replicons. Accessory markers that are not directly linked to toxin genes can effectively predict the virulence status with an AUC of 0.85, facilitating
Sydney Menzeko Gambushe   +1 more
wiley   +1 more source

A Comprehensive Multistage Average Controller for Trajectory Tracking in Solar‐Powered Mobile Robots: Analysis of Actuator‐Driver and Power Stage Integration

open access: yesInternational Journal of Mechanical System Dynamics, Volume 6, Issue 2, Page 224-246, June 2026.
ABSTRACT This work addresses the challenge of bidirectional trajectory tracking in solar‐powered wheeled mobile robots (WMRs), considering the mechanical structure, actuator‐driver, and power stage subsystems. Notably, this is the first study to explicitly model and control the actuator‐driver subsystem within this context. The proposed solution relies
Benjamin Natanael Santiago‐Nogales   +8 more
wiley   +1 more source

Robustness Assessment of Public Transport Networks in Various Graph Representations: Systematic Review, Decision Support, and Case Study

open access: yesNetworks, Volume 87, Issue 4, Page 343-371, June 2026.
ABSTRACT The analysis of certain properties of the underlying graph of a public transport network generates insights about the network's structure. Hereby, the choice of the graph representation depends on a trade‐off between complexity reduction and information preservation to adequately model a public transport network.
Michael Palk   +2 more
wiley   +1 more source

Finding Maximum Weight 2‐Packing Sets on Arbitrary Graphs

open access: yesNetworks, Volume 87, Issue 4, Page 404-427, June 2026.
ABSTRACT A 2‐packing set for an undirected, weighted graph G=(V,E,w) is a subset 𝒮⊆V such that any two vertices v1,v2∈𝒮 are not adjacent and have no common neighbors. The Maximum Weight 2‐Packing Set problem that asks for a 2‐packing set of maximum weight is NP‐hard.
Jannick Borowitz   +2 more
wiley   +1 more source

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