4th International Conference, ICIoT 2023, Chennai, India, April 26-28, 2023, Revised Selected Papers Herausgegeben:Venkataraman, Revathi; Marudappan, Pushpalatha; Rajasekharan Indra, Minu
4th International Conference, ICIoT 2023, Chennai, India, April 26-28, 2023, Revised Selected Papers Herausgegeben:Venkataraman, Revathi; Marudappan, Pushpalatha; Rajasekharan Indra, Minu
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.
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.
Produktdetails
Produktdetails
Communications in Computer and Information Science 1971
.- 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.
.- 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.
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