Emerging Wireless Technologies and Sciences

Second International Conference, ICEWTS 2024, Uttarakhand, India, October 6-7, 2024, Proceedings
Herausgegeben:Bagwari, Ashish; Barbosa, Jorge Luis Victoria; Babulak, Eduard; Chauhan, Durg Singh

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the Second International Conference on Emerging Wireless Technologies and Sciences, ICEWTS 2024, held in Uttarakhand, India, during October 6 7, 2024.
The 8 full papers and 4 short papers included in this book were carefully reviewed and selected from 430 submissions. They focus on multidisciplinary framework of communication engineering, wireless sensor networks, electrical engineering, renewable energies, materials science, physics, mathematics, computer, environment, and many more.

Produktdetails

• Communications in Computer and Information Science 2399
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-87885-5
• Seitenzahl: 132
• Erscheinungstermin: 30. März 2025
• Englisch
• Abmessung: 235mm x 155mm x 8mm
• Gewicht: 213g
• ISBN-13: 9783031878855
• ISBN-10: 303187885X
• Artikelnr.: 73366571

Inhaltsangabe

.- Sunflower-inspired Precision: Automatic Solar Tracking System for Enhanced Energy Harvesting.
.- Artificial Neural Network Based ECG Feature Extraction Using Wavelet Transform.
.- Analyzing the Hybrid Electric Vehicle's Performance for Automatic Acceleration Control.
.- Design of an Iterative Method for Zero-Day Attack Detection Using Adversarial Graph Temporal Convolutional Networks and Federated Learning.
.- Explainable AI for Fraud Detection: Enhancing Transparency and Trust in Financial Decision-Making.
.- Integrating Blockchain and Advanced Algorithms for Digital Image Authenticity: A Comprehensive Approach to Tamper Detection.
.- Enhancing Network Security: An Ensemble of Machine Learning Model for Detection of Distributed Denial of Service Attack.
.- Design and Performance Evaluation of an Energy-Efficient 16x16 SRAM Memory Array for Low Power Applications.