Results 211 to 220 of about 341,780 (320)
Abstract Anatomy is a foundational component of various medical and paramedical disciplines. Existing research has suggested that games or game elements can improve student interest in musculoskeletal (MSK) anatomy. This project builds on previous gamification and serious game work and incorporates new anatomy‐based games into undergraduate anatomy ...
Emmeline Berger +2 more
wiley +1 more source
Ambiguity-aware semi-supervised learning for leaf disease classification. [PDF]
Pham TC, Nguyen TN, Nguyen VD.
europepmc +1 more source
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows [PDF]
Zhangxuan Dang +5 more
openalex +1 more source
Semi-supervised learning (machine learning)
Candace Moore, Daniel Bell
openaire +1 more source
Production of 3D printed biomodels of the canine brain for veterinary neuroanatomy teaching
Abstract Teaching neuroanatomy presents multiple challenges to both students and teachers, as it is a subject with highly dense content that commonly causes the development of aversion by students, a phenomenon referred to as “neurophobia,” which has been documented in human and veterinary medicine students.
João Victor Barbosa Tenório Fireman +1 more
wiley +1 more source
RoadDiffBox: Automatic Road Distress Diagnosis through Controlled Image Generation and Semi-Supervised Learning. [PDF]
Hu Y, Chen N, Zhang H, Hou Y, Liu P.
europepmc +1 more source
A semi-supervised learning system for micro-text classification
Thomas Ott +5 more
openalex +1 more source
From Obstacles to Resources: Semi-supervised Learning Faces Synthetic Data Contamination [PDF]
Zerun Wang +3 more
openalex +1 more source
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source
Predicting the availability of power line communication nodes using semi-supervised learning algorithms. [PDF]
Moussa K +4 more
europepmc +1 more source

