Implementation of AI Collaboration in IOT-Enabled Systems for Better Response-Reference-Cited by-同舟云学术

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Implementation of AI Collaboration in IOT-Enabled Systems for Better Response

Published:2024-05-14 Issue: Volume:11 Page:53-58
ISSN:
Container-title:2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Paul M. Mano Raja¹,Nagar Mayank²,Rajan T. Surulivel³,Badhoutiya Arti⁴,Singh K. Ranjith⁵,Choubey Abhishek⁶

Affiliation:

1. Nehru Institute of Engineering and Technology,Department of Electrical and Electronic Engineering,T.N

2. IES College of Technology,Department of Computer Science & Engineering,Bhopal,M.P.,India

3. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Mechanical Engineering,TN

4. GLA University,Department of Electrical Engineering,Mathura

5. Karpagam Academy of Higher Education,Department of Computer Science

6. Sreenidhi institute of science and technology Yamnampet,ghatkesar,Hyderabad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616389/10616398/10617127.pdf?arnumber=10617127

Reference38 articles.

1. Energy-aware workflow scheduling and optimization in clouds using bat algorithm

2. Performance evaluation of real-time stream processing systems for Internet of Things applications;Mishra;Future Gener. Comput. Syst

3. Cross Layer Design for Optimizing Transmission Reliability, Energy Efficiency, and Lifetime in Body Sensor Networks

4. VLSI Implementation of a Cost-Efficient Micro Control Unit With an Asymmetric Encryption for Wireless Body Sensor Networks

5. Quality of service optimization in an IoT-driven intelligent transportation system;Sodhro;IEEE Wireless Commun

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