ItemBook Chapter

An Empirical Research of AI Approaches in Electronic Engineering

Title
An Empirical Research of AI Approaches in Electronic Engineering
Creator
Muralidharan, V.; Rane, Kantilal Pitambar; Rashmi, K.; Chandrashekar, Rakesh; Nagpal, Amandeep; Acharjee, Purnendu Bikash
Description
The function of artificial intelligence (AI) in electronic engineering has been suggested to overcome the issue of an elevated structure error rate in electronic engineering. Using LPWAN innovation in AI as an instance, an innovative structure is presented to increase the safety of the Internet of Things wireless communication infrastructure. The business, processing of information, terminal accessibility, and communication innovation layers make up the majority of the framework. The empirical findings indicate that the structures setup transmits four types of data transfer directions every 30 seconds, and the receiver port constantly gathers the aforementioned command information for 4 hours, contrasted to the conventional framework (15.6 percent), and the package loss rate is 4 percent, significantly enhancing the systems throughput and processing performance. The developed framework is more stable, has a lower bit error rate, and may assist wireless communication effectively. It has been demonstrated that the novel design, using LPWAN innovation as an instance, has a big total capacity as well as a good performance of its electronic engineering connection. The structure number error rate is considerably lowered, and the signal structure number is highly accurate as an outcome. 2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors.
Source
Recent Trends in Engineering and Science for Resource Optimization and Sustainable Development;pp.143-147
Date
01-01-2025
Publisher
CRC Press
Subject
Artificial intelligence; Electronic engineering; Low power wide area network; Wireless communication
Coverage
Muralidharan V., Department of ECE, Dr. N.G.P. Institute of Technology, Tamil Nadu, Coimbatore, India; Rane K.P., Department of Electronics and Telecommunications Engineering, Bharati Vidyapeeth College of engineering, Navi Mumbai, India; Rashmi K., Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Hyderabad, India; Chandrashekar R., Department of Mechanical Engineering, New Horizon College of Engineering, Bangalore, India; Nagpal A., Lovely Professional University, Phagwara, India; Acharjee P.B., Computer Science, CHRIST University, Bangaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 978-104032742-5; 978-103298029-4;
Format
online
Language
English
Type
Book chapter

Citation

Muralidharan, V.; Rane, Kantilal Pitambar; Rashmi, K.; Chandrashekar, Rakesh; Nagpal, Amandeep; Acharjee, Purnendu Bikash, “An Empirical Research of AI Approaches in Electronic Engineering,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24417.

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