Results 241 to 250 of about 24,126 (306)

A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley   +1 more source

Proximal regularization of deep residual neural networks applied to high-dimensional genomic data. [PDF]

Brief Bioinform
Fan Y, Launonen I, Sillanpää MJ, Waldmann P.   +3 more
europepmc   +1 more source

Reliable Intelligent Diagnostics With Uncertainty Quantification for Mechanical System Condition Assessment

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Health condition assessment of mechanical systems is essential to ensure their safe and reliable operation. Although AI‐driven diagnostic techniques have advanced significantly with the development of deep learning, the reliability of such techniques is often compromised due to the lack of uncertainty quantification (UQ)—particularly the ...
Guangjun Jiang, Haotian Ouyang, Zifei Xu
wiley   +1 more source

AI and Machine Learning for Proteomics-Driven Drug Discovery: Methods, Tools, and Best Practices. [PDF]

Curr Issues Mol Biol
Basak S.
europepmc   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Knowledge-graph embeddings for osteoarthritis candidate prediction. [PDF]

NPJ Digit Med
Wang Z, Lu Z, Li M, Zhao P, Zhang C.
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

scANMF: Prior Knowledge and Graph-Regularized NMF for Accurate Cell Type Annotation in scRNA-seq. [PDF]

Int J Mol Sci
Chi W, Zheng Y, Fang H, Shi S.
europepmc   +1 more source

Spatiotemporal Assessment of Groundwater Interactions With a Regulated River: A Case Study of the Nechako River, Canada

River Research and Applications, EarlyView.
ABSTRACT Regulated rivers represent complex hydrological systems where groundwater–surface water interactions are governed by natural conditions and human interventions. This study investigates the spatiotemporal dynamics of groundwater–surface water exchanges in the Nechako River, British Columbia (Canada), using numerical simulations.
Milad Fakhari, John Gray, Avery Dextrase, Andre St‐Hilaire, Richard Martel   +4 more
wiley   +1 more source