Communication and Intelligent Systems : Proceedings of ICCIS 2023, Volume 1 (Lecture Notes in Networks and Systems)

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Communication and Intelligent Systems : Proceedings of ICCIS 2023, Volume 1 (Lecture Notes in Networks and Systems)

Sharma, Harish (EDT)/ Shrivastava, Vivek (EDT)/ Tripathi, Ashish Kumar (EDT)

ウェブストア価格 ¥51,741（本体¥47,038）
Springer Nature（2024/07発売）
外貨定価 US$ 249.99
ポイント 470pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 452 p.
言語 ENG
商品コード 9789819720521

Full Description

This book gathers selected research papers presented at the Fifth International Conference on Communication and Intelligent Systems (ICCIS 2023), organized by Malaviya National Institute of Technology Jaipur, India, during December 16-17, 2023. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.

A Comparative Study of DL and ML Models for Brain Tumor Detection.- Dynamic and Personalized Video Summarization based on User Preferences.- A Comparative Study and Adaptability of Mobility Models for UAV Networks.- Implementation and Evaluation of IPSec in an NFV-Based Network.- A Multi-Label Classification Approach to Detect Types of Traumas on Social Media.- Revolutionizing Efficiency: A Novel Strategy for Quantum Noise Mitigation.- Critiquing The Limitations Challenges in Detecting GAN-Generated Images with Computer Vision Techniques.- Enhancing SIoT Security Through Advanced Machine Learning Techniques for Intrusion Detection.- EDiTOK: Energy -efficient Distributed transmission optimization based Kalman-Zlib approaches for Monitoring Smart Farming Irrigation in Internet of Things Networks.- Implementation of Custom-Based Mobile-Network Model for Early Blight Detection in Tomatoes.- Advanced Deepfake Detection using Inception-ResNet-V2Multi Feature Fusion for Facial Expression Recognition.- Different Machine Learning Algorithms for Parkinson's Disease Detection Using Speech Signals.- Convolutional Neural Network Applied to X-Ray Medical Imagery for Pneumonia Identification.- Smart Agriculture: Machine Learning Approach for Tea Leaf Disease Detection.