Results 71 to 80 of about 6,917,983 (390)

Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative

Advanced Engineering Materials, EarlyView.
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier, Celso Ricardo Caldeira Rêgo, Han Lin Mai, Ujjal Saikia, Osamu Waseda, Markus Apel, Felix Arendt, Alexander Aschemann, Bernd Bayerlein, Robert Courant, Gordian Dziwis, Florian Fuchs, Ulrich Giese, Kurt Junghanns, Mohamed Kamal, Lukas Koschmieder, Sebastian Leineweber, Marc Luger, Marco Lukas, Jürgen Maas, Jana Mertens, Björn Mieller, Ludger Overmeyer, Norbert Pirch, Jan Reimann, Sebastian Schröck, Philipp Schulze, Jörg Schuster, Alexander Seidel, Oleg Shchyglo, Marek Sierka, Frank Silze, Simon Stier, Marvin Tegeler, Jörg F. Unger, Matthias Weber, Tilmann Hickel, Jörg Schaarschmidt   +37 more
wiley   +1 more source

bnstruct: an R package for Bayesian Network structure learning in the presence of missing data

Bioinform., 2016
Motivation: A Bayesian Network is a probabilistic graphical model that encodes probabilistic dependencies between a set of random variables. We introduce bnstruct, an open source R package to (i) learn the structure and the parameters of a Bayesian ...
A. Franzin, Francesco Sambo, B. Camillo
semanticscholar   +1 more source

Perceived safety in community and service settings among young adults experiencing homelessness: Differences by sexual and gender identity

American Journal of Community Psychology, Volume 70, Issue 3-4, Page 340-351, December 2022., 2022
Abstract Homelessness poses risks to the health and safety of young adults; particularly among sexual and gender minority (SGM) young adults. The current study sought to better understand service use and perceived safety in community and service settings among SGM and cisgender heterosexual (cis‐hetero) young adults experiencing homelessness. Data come
Graham DiGuiseppi, Sara Semborski, Harmony Rhoades, Jeremy Goldbach, Benjamin F. Henwood   +4 more
wiley   +1 more source

Reliability Analysis of Vehicle Braking System Based on Hyperellipsoidal Dynamic Bayesian Network

Applied Sciences
Brake systems are subjected to various factors such as wear and fatigue over a long period of time. They bring a great challenge to the reliability analysis of the braking system.
Yingjie Tian, Jing Wen, Shubin Zheng
doaj   +1 more source

Bayesian Quadratic Network Game Filters

, 2013
A repeated network game where agents have quadratic utilities that depend on information externalities -- an unknown underlying state -- as well as payoff externalities -- the actions of all other agents in the network -- is considered.
Eksin, Ceyhun, Jadbabaie, Ali, Molavi, Pooya, Ribeiro, Alejandro   +3 more
core   +1 more source

Algebraic Geometry of Bayesian Networks

Journal of Symbolic Computation, 2003
We study the algebraic varieties defined by the conditional independence statements of Bayesian Networks. A complete algebraic classification is given for Bayesian Networks on at most five random variables. Hidden variables are related to the geometry of higher secant varieties.
Luis David García Puente, Michael Stillman, Bernd Sturmfels   +2 more
openalex   +5 more sources

Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package [PDF]

arXiv.org, 2014
It is well known in the literature that the problem of learning the structure of Bayesian networks is very hard to tackle: its computational complexity is super-exponential in the number of nodes in the worst case and polynomial in most real-world ...
M. Scutari
semanticscholar   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Fault diagnosis of the distribution network based on the D-S evidence theory Bayesian network

Frontiers in Energy Research
Relay protection rejection and misoperation exist in the existing distribution network, which will affect the fault diagnosis results. To diagnose faults in distribution networks, this paper presents a fault diagnosis method for the distribution network ...
Xiaogang Wu, Hanying Zhao, Wentao Xu, Wulue Pan, Qingfeng Ji, Xiujuan Hua   +5 more
doaj   +1 more source

A Bayesian Game-Theoretic Approach for Distributed Resource Allocation in Fading Multiple Access Channels

EURASIP Journal on Wireless Communications and Networking, 2010
A Bayesian game-theoretic model is developed to design and analyze the resource allocation problem in K-user fading multiple access channels (MACs), where the users are assumed to selfishly maximize their average achievable rates with incomplete ...
Gaoning He, Mérouane Debbah, Eitan Altman   +2 more
doaj   +2 more sources