Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends-Reference-Cited by-同舟云学术

Artificial Neural Networks for IoT-Enabled Smart Applications: Recent Trends

Published:2023-05-18 Issue:10 Volume:23 Page:4853
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Velichko Andrei¹^ORCID,Korzun Dmitry²^ORCID,Meigal Alexander³^ORCID

Affiliation:

1. Institute of Physics and Technology, Petrozavodsk State University, 33 Lenin Ave., 185910 Petrozavodsk, Russia

2. Department of Computer Science, Institute of Mathematics and Information Technology, Petrozavodsk State University, 33 Lenin Ave., 185910 Petrozavodsk, Russia

3. Medical Institute, Petrozavodsk State University, 33 Lenin Ave., 185910 Petrozavodsk, Russia

Abstract

In the age of neural networks and the Internet of Things (IoT), the search for new neural network architectures capable of operating on devices with limited computing power and small memory size is becoming an urgent agenda [...]

Funder

Russian Science Foundation

Republic of Karelia

Venture Investment Fund of Republic of Karelia

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/10/4853/pdf

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