Results 141 to 150 of about 1,105 (219)
BTdiagAI: A Web-Deployed Hybrid Framework for Brain Tumor Classification Using Optimized MRI Preprocessing and Deep Learning Fusion. [PDF]
Ahmmed F +5 more
europepmc +1 more source
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
Cortical parcellation optimized for magnetoencephalography with a clustering technique. [PDF]
Sommariva S +2 more
europepmc +1 more source
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
Multi-Factor Cost Function-Based Interference-Aware Clustering with Voronoi Cell Partitioning for Dense WSNs. [PDF]
Sam Peter S +3 more
europepmc +1 more source
Organizational and Functional Principles of the Obligate Respiratory Chain Supercomplex
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
Ensemble agent based machine learning approach for energy efficient attack detection and prevention in MANETs. [PDF]
Nigam P +4 more
europepmc +1 more source
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
Novel transfer learning approach for detecting mango fruit type and quality assessment. [PDF]
Tanveer MU +3 more
europepmc +1 more source
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

