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Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
TMCnet

Anthology Unveils Next-Generation AI and Immersive Learning Innovations in Blackboard, Maintains Position as the Fastest-Evolving LMS for the Fourth Year

Anthology, the leading educational technology company, today announced a sweeping set of innovations across its award-winning learning management system, Blackboard ®, and marked its fourth ...
Business Wire

Anthology Unveils Next-Generation AI and Immersive Learning Innovations in Blackboard, Maintains Position as the Fastest-Evolving LMS for the Fourth Year

BOCA RATON, Fla.--(BUSINESS WIRE)--Anthology, the leading educational technology company, today announced a sweeping set of innovations across its award-winning learning management system, Blackboard ...
Scientific Research Publishing

Dua, D. and Graff, C. (2017) UCI Machine Learning Repository: Pima Indians Diabetes Dataset. University of California, Irvine.

ABSTRACT: This article explores the use of Support Vector Machines (SVM) for diagnosing diabetes based on fourteen medical and behavioral variables. Following a theoretical overview of diabetes and ...
IEEE

Querying Heterogeneous and Distributed Learning Object Repositories via Ontology-Based Mediation

Abstract: 1We propose a mediator architecture that allows a learning system to retrieve learning objects (LOs) from heterogeneous repositories of LOs and not exclusively from its proprietary ...
Frontiers

Deep learning object detection-based early detection of lung cancer

The early diagnosis and accurate classification of lung cancer have a critical impact on clinical treatment and patient survival. The rise of artificial intelligence technology has led to ...
marktechpost

This AI Paper from Aalto University Introduces VQ-VFM-OCL: A Quantization-Based Vision Foundation Model for Object-Centric Learning

Object-centric learning (OCL) is an area of computer vision that aims to decompose visual scenes into distinct objects, enabling advanced vision tasks such as prediction, reasoning, and ...
American Library Association

Featured Online Learning Objects (FOLO) Committee

To acknowledge excellence in the design and implementation of online learning objects. The committee accepts submissions and searches for online learning objects that effectively support student ...