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Results 141 to 150 of about 117,293 (275)

Reduced‐Order Modeling of Energetic Materials Using Physics‐Aware Recurrent Convolutional Neural Networks in a Latent Space (LatentPARC)

Propellants, Explosives, Pyrotechnics, EarlyView.
Physics‐Aware Recurrent Convolutional Neural Networks (PARC) can reliably learn the thermomechanics of energetic materials as a function of morphology. This work introduces LatentPARC, which accelerates PARC by modeling the dynamics in a low‐dimensional latent space.
Zoë J. Gray +5 more
wiley +1 more source

Keras Slim ResNet-Based Prediction of Furcation Management Recommendations Among Dentists. [PDF]

Int J Dent
Yadalam PK +4 more
europepmc +1 more source

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

Region guided mask R-CNN with Haralick ResNet fusion for accurate coronary artery disease detection in computed tomography angiography images. [PDF]

Sci Rep
Revathi G, Mathew OC.
europepmc +1 more source

Deep‐Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease

Respirology, EarlyView.
ABSTRACT Background and Objective High resolution computed tomography (HRCT) scan diagnostic classification for usual interstitial pneumonia (UIP) plays a critical role in therapeutic decision‐making and clinical trial eligibility for interstitial lung disease (ILD) patients, but is subject to variability.
Caitlin C. Fermoyle +313 more
wiley +1 more source

Investigating discrepancies in accuracy, agreement and interpretability for single-frame embryo classification tasks conducted by embryologists and deep learning models. [PDF]

Front Reprod Health
Kakulavarapu R +7 more
europepmc +1 more source

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, EarlyView.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source

A Deep Learning-Based Correction for Scanning Radius Errors in Circular-Scan Photoacoustic Tomography. [PDF]

J Imaging
Yin J, Feng Y, He J, Xie M, Tao C.
europepmc +1 more source

Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity

Remote Sensing in Ecology and Conservation, EarlyView.
Machine learning image classifiers are increasingly being used to automate camera trap image labelling, but we don't know how much ML model accuracy matters for downstream ecological analyses. Using two large data sets from an African savannah and an Asian dry forest ecosystem, we compared human labelled data with predictions from deep‐learning models ...
Peggy A. Bevan +12 more
wiley +1 more source

From Infancy to Aging: Precise Brain Age Estimation via Hybrid CoTResNet3D and CrossViT Models on T1-Weighted Imaging. [PDF]

Bioengineering (Basel)
Zhu X, Sun S, Gao H, Wu Y, Fu Z, Lin L.
europepmc +1 more source

deep learning
fos: computer and information sciences
cnn

machine learning cs.lg
computer science - machine learning
convolutional neural network

computer vision and pattern recognition cs.cv
statistics - machine learning
machine learning stat.ml