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The 7th International Conference on Wireless, Intelligent and Distributed Environment for Communication WIDECOM 2024 /

This book presents the proceedings of the 7th International Conference on Wireless Intelligent and Distributed Environment for Communication (WIDECOM 2024), which took place at Keene State College, Keene, New Hampshire, USA, October 16-18, 2024. The book addresses issues related to new dependability...

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Соавтор: SpringerLink (Online service)
Другие авторы: Woungang, Isaac (Редактор), Dhurandher, Sanjay Kumar (Редактор)
Формат: Электронный ресурс eКнига
Язык:английский
Опубликовано: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Редактирование:1st ed. 2025.
Серии:Lecture Notes on Data Engineering and Communications Technologies, 237
Предметы:
Telecommunication.
Computer networks .
Communications Engineering, Networks.
Microwaves, RF Engineering and Optical Communications.
Computer Communication Networks.
Online-ссылка:https://doi.org/10.1007/978-3-031-80817-3
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Оглавление:
  • 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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