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 7, 2024, https://igi.indrastra.com/items/show/1761

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