Advances in Deep Learning in Mobile Interactive Algorithms and Learning Technologies

Authors

DOI:

https://doi.org/10.3991/ijim.v14i10.15369

Keywords:

Deep Learning, Mobile Interactive Algorithms, Learning Technologies, E-Learning for COVID 19, ICCMIT 2020

Abstract


 

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.

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Published

2020-06-30

How to Cite

Shaikh, A. (2020). Advances in Deep Learning in Mobile Interactive Algorithms and Learning Technologies. International Journal of Interactive Mobile Technologies (iJIM), 14(10), pp. 4–6. https://doi.org/10.3991/ijim.v14i10.15369

Issue

Section

Guest Editorial