Description

Book Synopsis

.- 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.
.- A Distinctive Modified Dingo Power Tracking with Single-Switch Ultra-High Converter for PV Smart Grids.
.- 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.

Internet of Things

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    £54.99

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    Order before 4pm today for delivery by Wed 17 Jun 2026.

    A Paperback by Revathi Venkataraman

    15 in stock


      View other formats and editions of Internet of Things by Revathi Venkataraman

      Publisher: Springer
      Publication Date: 11/04/2025
      ISBN13: 9783031856655, 978-3031856655
      ISBN10:

      Description

      Book Synopsis

      .- 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.
      .- A Distinctive Modified Dingo Power Tracking with Single-Switch Ultra-High Converter for PV Smart Grids.
      .- 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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