Deep learning, ubiquitous and toy computing minitrack

ISSN: 15301605
0Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

The goal of this minitrack is to present both novel and industrial solutions to challenging technical issues as well as compelling smart application use cases. This minitrack will share related practical experiences to benefit the reader and will provide clear proof that deep learning technologies are playing an ever-increasing important and critical role in supporting ubiquitous and toy computing applications - a new cross-discipline research topic in computer science, decision science, and information systems.

Cite

CITATION STYLE

APA

Hung, P. C. K., Huang, S. C., & Peres, S. M. (2018). Deep learning, ubiquitous and toy computing minitrack. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2018-January, p. 1007). IEEE Computer Society.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free