Results 211 to 220 of about 61,518 (261)
Occupational Airborne Allergic Contact Dermatitis From UV-Curing Printing Varnish. [PDF]
Coco-Viloin M, Gernigon C, Herin F.
europepmc +1 more source
Large Language Model Benchmarks in Medical Tasks
This survey provides a comprehensive review of benchmark datasets for evaluating large language models in medical tasks, spanning text, image, and multimodal modalities, and covering key resources including MIMIC‐III/IV, BioASQ, PubMedQA, and CheXpert.
Lawrence K. Q. Yan +18 more
wiley +1 more source
Vision and Language Reference for a Segment Anything Model for Few-Shot Segmentation. [PDF]
Sakurai K, Shimizu R, Goto M.
europepmc +1 more source
“I'ma Superhero Too.”: A Critical Case Study of a Black Student's Biliteracy Journey
ABSTRACT This article explores the biliteracy journey of Jamaal, an African American, in an elementary dual language bilingual education (DLBE) classroom. Although scholars have researched the biliteracy development and identity construction of bilingual children for decades, limited research has explored the biliteracy trajectory of African Americans ...
Brittany L. Frieson +1 more
wiley +1 more source
TG-OverLoCK for open-vocabulary detection with text-guided coarse-to-fine refinement. [PDF]
Li Y, Huo H, Su H, Yan S, Chen R.
europepmc +1 more source
Wind Turbine Blade Crack Detection and Assessment in Images Using Machine Learning
ABSTRACT As the wind energy industry matures, inspection of wind turbine blades (WTBs) is shifting from a manual process involving rope access and grading of damage, towards unmanned aerial vehicle (UAV) photography and artificial intelligence‐aided processing of data.
Callum Rothon +2 more
wiley +1 more source
Hessian-guided mixed-precision quantization of vision transformers under hardware constraints. [PDF]
He W, Rao R, Fu Y, Xiang Y.
europepmc +1 more source
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin +4 more
wiley +1 more source
Accurate Segmentation of Overlapping Cervical Cells Using an Optimized Deep Learning Framework for Cytology Screening. [PDF]
Alzu'bi AA +10 more
europepmc +1 more source

