Description

Book Synopsis

Chapter 1. Implicit Test Case Identification/Selection for Test Case Prioritisation using Natural Language Processing .- Chapter 2. Feasibility of Adversarial Attacks Against Machine Learning Models.- Chapter 3. Enhanced Public Safety: Real-Time Crime Detection with CNN-LSTM in Video Surveillance.- Chapter 4. Deep Reinforcement Learning-Based Open and Hybrid Switching-Driven Software-Defined Networking:  Adaptability and Comparison.- Chapter 5. Machine Learning Algorithms for Energy Consumption Prediction in Smart Homes: A Comparative Study.- Chapter 6. IoT Device Fingerprinting for Anomaly Detection.- Chapter 7. Survey-Based Machine Learning Models for Early Detection of Diabetes .- Chapter 8. OptimizingWearable Sensors with Multi-Feature Approximate Computing.- Chapter 9. Breast Cancer Histology Images Segmentation Using Connected Component Analysis.- Chapter 10. Optimized Smart Insole Design for Temporal Gait Parameters Measurement.- Chapter 11. Transforming Agriculture: Disease and Pest Management through CNN-Based Image Classification in Computer Vision.- Chapter 12. Anomaly detection in PD-NOMA Cognitive Radio IoT Networks.

The 7th International Conference on Wireless Intelligent and Distributed Environment for Communication

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    A Hardback by Isaac Woungang

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      View other formats and editions of The 7th International Conference on Wireless Intelligent and Distributed Environment for Communication by Isaac Woungang

      Publisher: Springer
      Publication Date: 08/04/2025
      ISBN13: 9783031808166, 978-3031808166
      ISBN10:
      Also in:
      Communications engineering / telecommunications

      Description

      Book Synopsis

      Chapter 1. Implicit Test Case Identification/Selection for Test Case Prioritisation using Natural Language Processing .- Chapter 2. Feasibility of Adversarial Attacks Against Machine Learning Models.- Chapter 3. Enhanced Public Safety: Real-Time Crime Detection with CNN-LSTM in Video Surveillance.- Chapter 4. Deep Reinforcement Learning-Based Open and Hybrid Switching-Driven Software-Defined Networking:  Adaptability and Comparison.- Chapter 5. Machine Learning Algorithms for Energy Consumption Prediction in Smart Homes: A Comparative Study.- Chapter 6. IoT Device Fingerprinting for Anomaly Detection.- Chapter 7. Survey-Based Machine Learning Models for Early Detection of Diabetes .- Chapter 8. OptimizingWearable Sensors with Multi-Feature Approximate Computing.- Chapter 9. Breast Cancer Histology Images Segmentation Using Connected Component Analysis.- Chapter 10. Optimized Smart Insole Design for Temporal Gait Parameters Measurement.- Chapter 11. Transforming Agriculture: Disease and Pest Management through CNN-Based Image Classification in Computer Vision.- Chapter 12. Anomaly detection in PD-NOMA Cognitive Radio IoT Networks.

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