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Internet of Things : 4th International Conference, ICIoT 2023, Chennai, India, April 26–28, 2023, Revised Selected Papers / edited by Revathi Venkataraman, Pushpalatha Marudappan, Minu Rajasekharan Indra.

Springer eBooks EBA - Engineering Collection 2025 Available online

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Format:
Book
Contributor:
Venkataraman, Revathi, Editor.
Marudappan, Pushpalatha., Editor.
Rajasekharan Indra, Minu., Editor.
Series:
Communications in Computer and Information Science, 1865-0937 ; 1971
Language:
English
Subjects (All):
Internet of things.
Internet of Things.
Local Subjects:
Internet of Things.
Physical Description:
1 online resource (XII, 116 p. 68 illus., 53 illus. in color.)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
This CCIS post conference volume constitutes the proceedings of the 4th International Conference on Internet of Things, ICIoT 2023, in Chennai, India, during April 26–28, 2023. The 9 full papers and 2 short papers presented in this volume were carefully reviewed and selected from 112 submissions. They are grouped into the following topics: knowledge exchange, fostering collaboration, and inspiring new ideas that drive the future of IoT.
Contents:
Gesture Controlled Virtual Mouse.
Diabetic retinopathy detection through deep learning using fundus images.
Enhancing energy efficiency in smart cities through neural support vector machine learning for smart grids.
A Novel Intelligent Traffic Control System for Identifying Traffic Congestion and Emergency Vehicle Detection in Malaysia.
Leveraging random forest for intelligent IoT systems in industrial environments.
Enhancing Process Efficiency of Welding Through Mathematical Modeling And SVM-Based Parameter Optimization.
LBFOG: Load Balancing among Edge Nodes in the Fog Computing Framework.
Utilizing Cutting-Edge Deep Learning Techniques to Predictive Model and Segment Customers to Optimize Marketing ROI.
Fault Detection Using YOLOv7 on RGB Images of Solar Panels with Various Data Augmentation Techniques and An Enhanced Early Stopper.
Machine Learning-Aided Aerial Surveillance: Enhancing Trespasser Detection using UAVs.
ISBN:
3-031-85666-X

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