Results 61 to 70 of about 6,628,841 (378)

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

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

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

Advanced Air Electrodes for Reversible Protonic Ceramic Electrochemical Cells: A Comprehensive Review

Advanced Materials, EarlyView.
Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen, Yeshu Tan, Zheng Li, Tong Liu, Yinghao Song, Shuo Zhai, Na Yu, Zongping Shao, Meng Ni   +8 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

Evaluation of a Bayesian inference network for ligand-based virtual screening

Journal of Cheminformatics, 2009
Background Bayesian inference networks enable the computation of the probability that an event will occur. They have been used previously to rank textual documents in order of decreasing relevance to a user-defined query.
Chen Beining, Mueller Christoph, Willett Peter   +2 more
doaj   +1 more source

Free energy of Bayesian Convolutional Neural Network with Skip Connection [PDF]

arXiv, 2023
Since the success of Residual Network(ResNet), many of architectures of Convolutional Neural Networks(CNNs) have adopted skip connection. While the generalization performance of CNN with skip connection has been explained within the framework of Ensemble Learning, the dependency on the number of parameters have not been revealed. In this paper, we show
arxiv  

Smart Dust for Chemical Mapping

Advanced Materials, EarlyView.
This review article explores the advancement of smart dust networks for high‐resolution spatial and temporal chemical mapping. Comprising miniature, wireless sensors, and communication devices, smart dust autonomously collects, processes, and transmits data via swarm‐based communication.
Indrajit Mondal, Hossam Haick
wiley   +1 more source

The relationship between chlorophyllous spores and mycorrhizal associations in ferns: evidence from an evolutionary approach

American Journal of Botany, Volume 109, Issue 12, Page 2068-2081, December 2022., 2022
Abstract Premise Approximately 14% of all fern species have physiologically active chlorophyllous spores that are much more short‐lived than the more common and dormant achlorophyllous spores. Most chlorophyllous‐spored species (70%) are epiphytes and account for almost 37% of all epiphytic ferns.
Daniela Mellado‐Mansilla, Weston Testo, Michael A. Sundue, Gerhard Zotz, Holger Kreft, Mario Coiro, Michael Kessler   +6 more
wiley   +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