Neurocomputing for internet of things: Object recognition and detection strategy-Reference-Cited by-同舟云学术

Neurocomputing for internet of things: Object recognition and detection strategy

Published:2021-11 Issue: Volume: Page:
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Qureshi Kashif Naseer,Kaiwartya Omprakash^ORCID,Jeon Gwanggil,Piccialli Francesco

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference35 articles.

1. Internet of Things (IoT): A vision, architectural elements, and future directions;Gubbi;Future Generation Computer Systems,2013

2. Object detection mechanism based on deep learning algorithm using embedded IoT devices for smart home appliances control in CoT;Mehmood;J. Ambient Intelligence Humanized Computing,2019

3. Trust management and evaluation for edge intelligence in the Internet of Things;Qureshi;Eng. Appl. Artif. Intell.,2020

4. Link quality and energy utilization based preferable next hop selection routing for wireless body area networks;Qureshi;Comput. Commun.,2020

5. Internet of Vehicles: Key Technologies, Network Model, Solutions and Challenges With Future Aspects;Qureshi;IEEE Trans. Intell. Transp. Syst.,2021

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