The 7th International Conference on Wireless, Intelligent and Distributed Environment for Communication : WIDECOM 2024 / edited by Isaac Woungang, Sanjay Kumar Dhurandher.

Format:

Book

Author/Creator:

Woungang, Isaac.

Contributor:

Dhurandher, Sanjay Kumar.

Series:

Lecture Notes on Data Engineering and Communications Technologies, 2367-4520 ; 237

Language:

English

Subjects (All):

Telecommunication.

Computer networks.

Communications Engineering, Networks.

Microwaves, RF Engineering and Optical Communications.

Computer Communication Networks.

Local Subjects:

Communications Engineering, Networks.

Microwaves, RF Engineering and Optical Communications.

Computer Communication Networks.

Physical Description:

1 online resource (258 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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 paradigms, design, and performance of dependable network computing and mobile systems, as well as issues related to the security of these systems. The goal of the conference is to provide a forum for researchers, students, scientists and engineers working in academia and industry to share their experiences, new ideas and research results in the above-mentioned areas. Presents the proceedings of 7th International WIDECOM Conference; Includes topics in networking, computing, security, cloud systems, and IoT systems; Addresses issues related to information security and trust establishment in the digital space.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031808173

3031808177

OCLC:

1503845015