Results 141 to 150 of about 1,105 (219)

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin   +4 more
wiley   +1 more source

Alignment of Self‐Supervised Learning Representations With Radiomic Features in Multiphase Renal Computed Tomography

open access: yesiRADIOLOGY, EarlyView.
This study investigates how well self‐supervised learning models capture clinically meaningful patterns by aligning their embeddings with radiomic features in multiphase renal CT. The findings reveal partial alignment, especially with texture features, supporting the integration of radiomics‐informed evaluation for interpretable representation learning
S. J. Pawan   +10 more
wiley   +1 more source

Organizational and Functional Principles of the Obligate Respiratory Chain Supercomplex

open access: yesJournal of the Chinese Chemical Society, EarlyView.
In this review we deliver a comprehensive structural analysis of the actinobacterial respiratory chain supercomplex and discuss the principles underlying the assembly of its supramolecular architecture. ABSTRACT Proton translocating respiratory chain complexes assemble into supramolecular structures in their native cellular environment, yet the ...
Wei‐Chun Kao, Nick Hiatt, Carola Hunte
wiley   +1 more source

A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach

open access: yesJournal of Medical Radiation Sciences, Volume 72, Issue 1, Page 93-105, March 2025.
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou   +10 more
wiley   +1 more source

Risk Assessment and Diagnosis Model for Real‐Time Flood Control Operation of a Multi‐Reservoir System

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Real‐time flood control operation of multi‐reservoir systems is affected by multiple sources of hydrological and operational uncertainties, which increase the complexity of risk propagation and decision‐making processes. Therefore, effective risk assessment and diagnosis are essential for supporting risk‐informed flood control operation.
Juan Chen   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy