Innovation and Emerging Trends in Computing and Information Technologies First International Conference, IETCIT 2024, Mohali, Punjab, India, March 1-2, 2024, Proceedings, Part I

This book constitutes the proceedings of the First International Conference on Innovation and Emerging Trends in Computing and Information Technologies, IETCIT 2024, held in Mohali, India, in March 1-2, 2024. 
The 44 full papers presented in these two volumes were carefully reviewed and selected from 417 submissions. The papers are organized in the following topical sections:
Part I: machine learning and deep learning; pattern and speech recognition; internet of things (IoT).
Part II: data science and data analytics; communication, network and security.

Summary

This book constitutes the proceedings of the First International Conference on Innovation and Emerging Trends in Computing and Information Technologies, IETCIT 2024, held in Mohali, India, in March 1–2, 2024. 
The 44 full papers presented in these two volumes were carefully reviewed and selected from 417 submissions. The papers are organized in the following topical sections:
Part I: machine learning and deep learning; pattern and speech recognition; internet of things (IoT).
Part II: data science and data analytics; communication, network and security.

Product details

• Assisted by: Manisha Malhotra (Editor)
• Publisher: Springer, Berlin
• Content: Book
• Product form: Paperback / Softback
• Publication date: 18.01.2025
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT
• EAN: 9783031808388
• ISBN: 978-3-0-3180838-8
• Pages: 288
• Illustrations: XXIII, 288 p. 165 illus., 137 illus. in color.
• Dimensions (packing): 15.5 x 1.7 x 23.5 cm
• Weight (packing): 476 g
• Series: Communications in Computer and Information Science
• Subjects: Künstliche Intelligenz, machine learning, Data Mining, Artificial Intelligence, iot, Wissensbasierte Systeme, Expertensysteme, Sockets, Data Mining and Knowledge Discovery, Knowledge based Systems, decision tree, remote montoring systems, suport vector machine, LightGBM, true positive rates, convolutional neural network, enegy