SDN-based Internet of Video Things Platform Enabling Real-Time Edge/Cloud Video Analytics-Reference-Cited by-同舟云学术

SDN-based Internet of Video Things Platform Enabling Real-Time Edge/Cloud Video Analytics

Published:2023-02-22 Issue: Volume: Page:
ISSN:
Container-title:2023 17th International Conference on the Experience of Designing and Application of CAD Systems (CADSM)
language:
Short-container-title:

Author:

Kochan Orest¹,Beshley Mykola²,Beshley Halyna²,Shkoropad Yuriy²,Ivanochko Iryna³,Seliuchenko Nadiia⁴

Affiliation:

1. School of Computer Science Hubei University of Technology,Wuhan,China

2. Lviv Polytechnic National University,Department of telecommunications,Lviv,Ukraine

3. Lviv Polytechnic National University,Department of Management and International Business,Lviv,Ukraine

4. Investment Lviv Polytechnic National University,Department of Business Economics,Lviv,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10076488/10076491/10076539.pdf?arnumber=10076539

Reference29 articles.

1. High-Speed and Secure PRNG for Cryptographic Applications

2. The researching and modeling of structures of mobile networks for providing of multiservice radio access;klymash;Proceedings of International Conference on Modern Problem of Radio Engineering Telecommunications and Computer Science,2012

3. IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices

4. Increasing LPWAN Scalability by Means of Concurrent Multiband IoT Technologies: An Industry 4.0 Use Case

5. A Combination Strategy of Feature Selection Based on an Integrated Optimization Algorithm and Weighted K-Nearest Neighbor to Improve the Performance of Network Intrusion Detection

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feature-Centric Video Transmission and Analytics in Large-Scale Internet of Video Things;CAAI Artificial Intelligence Research;2024-12

2. Task Offloading and Resource Optimization Based on Predictive Decision Making in a VIoT System;Electronics;2024-06-14

3. Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques;IEEE Communications Surveys & Tutorials;2023