Results 171 to 180 of about 212,585 (307)

Prediction of the Mechanical Properties of the Additive Friction Stir‐Deposited Al2219 Using Machine Learning

open access: yesMaterials Genome Engineering Advances, EarlyView.
In this work, three prediction machine learning (ML) models (MLP, RBF, BP) are developed to predict the ultimate tensile strength (UTS) and elongation (EL) of the AFSDed Al2219 samples. ABSTRACT Additive friction stir deposition (AFSD) is an effective method for fabricating high‐performance deposits, with process parameters directly influencing the ...
Chan Wa Tam   +10 more
wiley   +1 more source

Technical Review of Magnetic Resonance Fingerprinting Applications in Cerebral Physiology

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Magnetic resonance fingerprinting (MRF) enables quantitative MRI by allowing the simultaneous mapping of multiple tissue properties through innovative acquisition and computational methods. This review focuses on the application of MRF techniques to cerebral physiology, emphasizing advancements in vascular imaging and the integration of ...
Chieh‐Te Lin   +2 more
wiley   +1 more source

Classification of Salivary Gland Tumors on Ultrasound Using Artificial Intelligence: A Systematic Review and Meta‐Analysis

open access: yesOtolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Accurate classification of salivary gland tumors is critical to guiding appropriate management. This study evaluates the diagnostic performance of artificial intelligence models in classifying salivary gland tumors on ultrasound. Data Sources A comprehensive search of CINAHL, PubMed, and Scopus was conducted through January 28, 2025.
Isabelle J. Chau   +5 more
wiley   +1 more source

GraphReco: Probabilistic Structure Recognition for Chemical Molecules

open access: yesChemistryOpen, EarlyView.
Molecule structure images are unfriendly for machine understanding, blocking productivity improvements in chemical data mining, drug discovery, and many other fields. We present a rule‐based probabilistic Optical Chemical Structure Recognition model to explain and tackle the ambiguity challenges in graph assembly.
Haidong Wang   +2 more
wiley   +1 more source

Advancing Extracellular Vesicle Research: A Review of Systems Biology and Multiomics Perspectives

open access: yesPROTEOMICS, EarlyView.
ABSTRACT Extracellular vesicles (EVs) are membrane‐bound vesicles secreted by various cell types into the extracellular space and play a role in intercellular communication. Their molecular cargo varies depending on the cell of origin and its functional state.
Gloria Kemunto   +2 more
wiley   +1 more source

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