Results 121 to 130 of about 9,194 (254)

Fault Detection of Electric Motors via Symmetrized Dot Pattern‐Based Features

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study proposes a novel symmetrized dot pattern (SDP) approach using designed SDP‐based features, extracted from transformed vibration signals, for fault detection. These features describe the compactness, inclination, and shape of the “snowflake” diagram distributions.
Mario Spirto, Pierangelo Malfi, Armando Nicolella, Francesco Melluso, Chiara Cosenza, Sergio Savino, Vincenzo Niola   +6 more
wiley   +1 more source

stAA: adversarial graph autoencoder for spatial clustering task of spatially resolved transcriptomics. [PDF]

Brief Bioinform, 2023
Fang Z, Liu T, Zheng R, A J, Yin M, Li M.   +5 more
europepmc   +1 more source

Similarity‐Driven Framework for Efficient Polymer Property Prediction Under Data Scarcity Scenarios

Journal of Polymer Science, EarlyView.
A new approach, based on structural and chemical similarities between polymers, is proposed to improve the performance of artificial neural networks in predicting the glass transition temperature under data‐scarce conditions. ABSTRACT Predicting polymer properties directly from chemical structure is essential for the rational design of advanced ...
Amaia Elizaran Mendarte, Gustavo A. Schwartz   +1 more
wiley   +1 more source

Node embedding-based graph autoencoder outlier detection for adverse pregnancy outcomes. [PDF]

Sci Rep, 2023
Khan W, Zaki N, Ahmad A, Masud MM, Govender R, Rojas-Perilla N, Ali L, Ghenimi N, Ahmed LA.   +8 more
europepmc   +1 more source

Machine Learning for Thermodynamic States of Notional Nonideal Energetic Mixtures

Propellants, Explosives, Pyrotechnics, EarlyView.
. ABSTRACT Currently, modeling the thermodynamic states in the reaction zone of a detonating energetic mixture entails iteratively solving a set of coupled differential equations that require detailed material property information or models whose empirical parameters must be physically measured.
Sangeeth Balakrishnan, Jesse Hearn, Francis G. VanGessel, Brian C. Barnes, Ruth Doherty, William Wilson, Ryan Ciufo, Peter W. Chung   +7 more
wiley   +1 more source

A Relationship Prediction Method for Magnaporthe oryzae-Rice Multi-Omics Data Based on WGCNA and Graph Autoencoder. [PDF]

J Fungi (Basel), 2023
Zhao E, Dong L, Zhao H, Zhang H, Zhang T, Yuan S, Jiao J, Chen K, Sheng J, Yang H, Wang P, Li G, Qin Q.   +12 more
europepmc   +1 more source

Multimodal artificial intelligence in medical biotechnology: Integrating genomics, imaging, and clinical data for precision therapeutics

Precision Medical Sciences, EarlyView.
Overview of multimodal artificial intelligence (AI) for precision therapeutics. Diverse biomedical data modalities, including multi‐omics, medical imaging, digital pathology, electronic health records, wearable‐device data, and molecular information, are integrated through multimodal AI frameworks incorporating fusion strategies, foundation models ...
Gedion Mengistu Dejen
wiley   +1 more source

Inferring gene regulatory network from single-cell transcriptomes with graph autoencoder model. [PDF]

PLoS Genet, 2023
Wang J, Chen Y, Zou Q.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding Wasserstein distance. [PDF]

BMC Biol, 2023
Zhu H, Hao H, Yu L.
europepmc   +1 more source