Results 221 to 230 of about 3,393,279 (308)
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Complete Issue Volume 3 Issue 2
Editor, Journal of the Scholarship of Teaching and Learning
doaj
Sustainable Development Goals as a Framework for Teaching and Learning about Health Equity in European Health and Social Care Study Programmes: A Modified Delphi Approach. [PDF]
Antón-Solanas I +11 more
europepmc +1 more source
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
Complete Issue Volume 2 Issue 1
Editor, Journal of the Scholarship of Teaching and Learning
doaj
University teachers' beliefs about the use of generative artificial intelligence for teaching and learning. [PDF]
Cabellos B, de Aldama C, Pozo JI.
europepmc +1 more source
Vision‐Based Handover and Organization of Robotic Scrub Nurse for Seamless Surgical Flow
This study presents a pose estimation‐based robotic scrub nurse (PERSN) that assists surgical procedures by estimating the surgeon's hand position, orientation, and grasping state, along with the constraint‐based 6D pose of surgical instruments. User evaluations show that PERSN provides greater immediate usability and reduces physical demand compared ...
Seongjoon Kang +9 more
wiley +1 more source
Complete Issue Volume 5 Issue 1
Editor, Journal of the Scholarship of Teaching and Learning
doaj
The evolution of teaching and learning regional anesthesia at every career stage: The U.S. perspective. [PDF]
To L, Ye M, Chang S, Mariano ER.
europepmc +1 more source
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source

