Edge Computing And Convolutional Neural Networks For Real-Time Object Detection In Healthcare Iot-Reference-Cited by-同舟云学术

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Edge Computing And Convolutional Neural Networks For Real-Time Object Detection In Healthcare Iot

Published:2023-12-29 Issue: Volume:4 Page:1-7
ISSN:
Container-title:2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
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Author:

Kumar Rakesh¹,Pundir Sumit²,Shrivastava Anurag³,Kumar C Praveen⁴,Rao A L N⁵,Sankhyan Akhil⁶

Affiliation:

1. GLA University,Department of Computer Engineering & Applications,Mathura

2. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun

3. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Chennai,Tamilnadu

4. Institute of Aeronautical Engineering,Department of Computer Science and Engineering,Hyderabad,Telangana

5. Lloyd Institute of Engineering and Technology,Greater Noida

6. Lloyd Law College,Greater Noida

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488914/10488923/10489280.pdf?arnumber=10489280

Reference30 articles.

1. IoT-based smart healthcare video surveillance system using edge computing

2. An Effective Training Scheme for Deep Neural Network in Edge Computing Enabled Internet of Medical Things (IoMT) Systems

3. Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System

4. Real-Time Mask Identification for COVID-19: An Edge-Computing-Based Deep Learning Framework

5. An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks

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