Results 231 to 240 of about 30,442 (292)
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 +6 more
wiley +1 more source
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Conventional fault‐diagnosis methods, largely grounded in one‐dimensional signal analysis and linear modeling, often fail to detect complex nonlinear faults in rotating machinery operating under variable loads. Data‐driven approaches also face challenges in extracting discriminative information from high‐dimensional multisensor measurements ...
Amirreza Marzband, Javad Poshtan
wiley +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 +1 more
wiley +1 more source
Compressing and expanding optical matrix-vector multipliers for enabling optical image encoder-decoders and generators. [PDF]
Light Sci ApplStern A.
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 +7 more
wiley +1 more source
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
High-Content Imaging and Machine Learning Classify Phenotypical Change in Coronary Artery Endothelial Cells Caused by BPS. [PDF]
Int J Mol SciFerariu LE +5 more
europepmc +1 more source
Weibull Variational Autoencoder for Remaining Useful Life Prediction
Quality and Reliability Engineering International, EarlyView.ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu +4 more
wiley +1 more source
Correction: Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencoders. [PDF]
Front PhysiolGutiérrez-Fernández M +5 more
europepmc +1 more source