Results 71 to 80 of about 1,347,746 (312)
Deep learning algorithms (TextBlob Baseline F1-Score, Kappa Score, and Accuracy).
, 2023 Deep learning algorithms (TextBlob Baseline F1-Score, Kappa Score, and Accuracy).
Abdul Ghafoor (849371) +5 more
core +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Modeling of F1 circuit Paul Ricard and kinematic analisys of trajectories [PDF]
, 2022 openL'articolo tratta nello specifico della modellazione di un circuito di F1 (in particolare, nel caso in questione, l'autodromo del Paul Ricard) attraverso il rilevamento dei dati GPS mediante Google Earth Pro e GPS Visualizer.
ADAMI, MARCO
core
Advanced Engineering Materials, EarlyView.The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee +7 more
wiley +1 more source
Results of inductive learning in terms of F1-score.
, 2022 Results of inductive learning in terms of F1-score.
Qian Liu (135614), Xiyu Liu (1700959)
core +1 more source
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
BioengineeringThe retina offers a unique window into both ocular and systemic health, motivating the development of AI-based tools for disease screening and risk assessment.
Mohammad Mahdi Aghabeigi Alooghareh +4 more
doaj +1 more source
Accuracy and F1-score from different wrapper methods.
, 2023 Accuracy and F1-score from different wrapper methods.
Shing Chiang Tan (16002923) +2 more
core +1 more source
Advanced Functional Materials, EarlyView.Cyclic unloading‐aging‐reloading micro‐tensile tests under various aging durations and temperatures, combined with comprehensive microstructural characterization reveal that the yield point phenomenon in Aluminum‐Carbon (Al‐C) thin films originates from Cottrell atmosphere formation.
Zion Lee +10 more
wiley +1 more source
Prediction of the Fundus Tessellation Severity With Machine Learning Methods
Frontiers in Medicine, 2022 PurposeTo predict the fundus tessellation (FT) severity with machine learning methods.MethodsA population-based cross-sectional study with 3,468 individuals (mean age of 64.6 ± 9.8 years) based on Beijing Eye Study 2011.
Lei Shao +11 more
doaj +1 more source