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Results 171 to 180 of about 18,492,174 (314)

An Integrated Deep Learning and Physics-Constrained Upscaling Workflow for Robust Permeability Prediction in Digital Rock Physics

Research on rock permeability plays a crucial role in understanding fluid flow in geological formations, which contributes significantly to addressing challenges in sustainable energy production and CO2 sequestration.
Li, Haotian, Aslam, Billal, Yan, Bicheng
core +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann +2 more
wiley +1 more source

A novel deep-learning approach for robust identification of plant diseases. [PDF]

PLoS One
Hoffmann J, Mai C, Buettner R.
europepmc +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source

A deep learning approach for predicting antimicrobial resistance in urinary tract infections. [PDF]

BMC Urol
Shaker M, Zaki A, Asser SL, Sayed IE, Azmy MM. +4 more
europepmc +1 more source

A Probabilistic Framework for Deep Learning

, 2016
NEWS COVERAGE: A news release based on this journal publication is available online: http://news.rice.edu/2016/12/16/rice-baylor-team-sets-new-mark-for-deep-learning/We develop a probabilistic framework for deep learning based on the Deep Rendering ...
Nguyen, Tan, Patel, Ankit B., Baraniuk, Richard G. +2 more
core

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source

Breast cancer detection and classification via a robust deep learning approach. [PDF]

Sci Rep
Makram M, Aziz AS, Saeid MM, Mohamed MT.
europepmc +1 more source

Deep learning for medical image analysis /

"Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts ...
Zhou, S. Kevin,editor. +2 more
core

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source

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