Results 191 to 200 of about 264,599 (287)

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi   +5 more
wiley   +1 more source

Stereoselective Biotransformation: Transfer of Learning to Advance Drug Metabolism and Biocatalysis

open access: yesAngewandte Chemie, EarlyView.
Understanding stereoselective biotransformations has implications for predicting drug disposition and response and may also inspire novel biocatalytic and biomimetic strategies to address challenges in metabolite and API synthesis. ABSTRACT Chirality is an important determinant of drug action, as enantiomers can exhibit markedly different ...
Grace A. Okunlola, Godwin A. Aleku
wiley   +2 more sources

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

open access: yesAdvanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal   +6 more
wiley   +1 more source

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

open access: yesAdvanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna   +2 more
wiley   +1 more source

Catalytic Enantioselective Multicomponent Reactions of Sulfoxonium Ylides Enabled by a Formal Rearrangement—A Versatile Entry to Enantioenriched α‐Sulfanyl Carbonyl Compounds

open access: yesAngewandte Chemie, EarlyView.
A catalytic network embedding a formal rearrangement enables the first catalytic enantioselective multicomponent reaction (MCR) of sulfur ylides. In the presence of a bulky chiral phosphoric acid, the reaction combines sulfoxonium ylides, aldehydes and thiols, and affords synthetically versatile β‐hydroxy‐α‐sulfanyl carbonyl compounds in ...
Nicolò Santarelli   +10 more
wiley   +2 more sources

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

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