Results 71 to 80 of about 6,617,545 (130)

Agrupamento e Recomendação de Objetos de Aprendizagem no Padrão IEEE-LOM Considerando Estilos de Aprendizagem

Simpósio Brasileiro de Informática na Educação, 2017
Miller Mendes, Vitor Carvalho, Fabiano Dorça, Rafael Dias Araújo, Renan Cattelan   +4 more
openaire   +2 more sources

Mobile applications for elderly healthcare: A systematic mapping. [PDF]

PLoS One, 2020
Paiva JOV, Andrade RMC, de Oliveira PAM, Duarte P, Santos IS, Evangelista ALP, Theophilo RL, de Andrade LOM, Barreto ICHC.   +8 more
europepmc   +1 more source

ManUeL, un profil d'application de LOM pour C@mpuSciences

, 2004
International audienceIn this paper, we present ManUeL, a LOM application profile, which has been developed to index learning resources in the C@mpuSciences project.
Jarraud, Pierre, de La Passardière, Brigitte   +1 more
core  

What is IEEE Learning Object Metadata / IMS Learning Resource Metadata?

, 2005
A CETIS briefing paper on the IEEE 1484.12.1 – 2002 Standard for Learning Object Metadata, a standard for the description of “learning objects”. IEEE 1484.12.1 is the first part of a multipart standard, and describes the LOM data model.
Barker, Phil
core  

LOMM: Latest Object Memory Management for Temporally Consistent Video Instance Segmentation. [PDF]

IEEE Int Conf Comput Vis Workshops
Lee S, Seo J, Choi M, Han K, Jeong J, Durante Z, Adeli E, Park SH, Im S.   +8 more
europepmc   +1 more source

Paired Electrical Pulse Trains for Controlling Connectivity in Emotion-Related Brain Circuitry. [PDF]

IEEE Trans Neural Syst Rehabil Eng, 2020
Lo MC, Younk R, Widge AS.
europepmc   +1 more source

Towards multi-agent system for learning object recommendation. [PDF]

Heliyon
Mohamedhen AS, Alfazi A, Arfaoui N, Ejbali R, Nanne MF.   +4 more
europepmc   +1 more source

Orchestration and Management of Adaptive IoT-centric Distributed Applications. [PDF]

IEEE Internet Things J
Amjad S, Akhtar A, Ali M, Afzal A, Shafiq B, Vaidya J, Shamail S, Rana O.   +7 more
europepmc   +1 more source

Prognosis prediction in traumatic brain injury patients using machine learning algorithms. [PDF]

Sci Rep, 2023
Khalili H, Rismani M, Nematollahi MA, Masoudi MS, Asadollahi A, Taheri R, Pourmontaseri H, Valibeygi A, Roshanzamir M, Alizadehsani R, Niakan A, Andishgar A, Islam SMS, Acharya UR.   +13 more
europepmc   +1 more source