Advances in Deep Learning in Mobile Interactive Algorithms and Learning Technologies
Dublin Core
Title
Advances in Deep Learning in Mobile Interactive Algorithms and Learning Technologies
Subject
Deep Learning
Mobile Interactive Algorithms
Learning Technologies
E-Learning for COVID 19
ICCMIT 2020
Description
The Special Issue of the International Journal of Interactive Mobile Technologies (iJIM) is publishing very selective papers presented at the 6th edition of International Conference on Communication, Management, and Information Technology- ICCMIT 2020. The ICCMIT 2020 was scheduled from 1-3 April 2020 in Athens, Greece which was postponed due to the COVID’19 outbreak, and the papers were presented online. For this special issue, the ICCMIT 2020 received several papers from researchers, engineers, and industry professionals, from all around the world to publish their research in the field of science and technologies. But we selected best contributions from Russia, Romania, Cyprus, Saudi Arabia, Egypt, and Pakistan. These contributions are in the field of cellular automata, wireless sensor networks, mechatronic systems, deep learning, heterogeneous LTE-a networks, GPS services, web services, feature selection, data stream, mobile e-learning, traffic routing solution, and encoding systems.
Creator
Shaikh, Asadullah
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 10 (2020); pp. 4-6
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2020-06-30
Rights
Copyright (c) 2020 Asadullah Shaikh
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Identifier
Citation
Asadullah Shaikh, Advances in Deep Learning in Mobile Interactive Algorithms and Learning Technologies, International Association of Online Engineering (IAOE), Vienna, Austria, 2020, accessed November 24, 2024, https://igi.indrastra.com/items/show/1761