Communication and Intelligent Systems : Proceedings of ICCIS 2023, Volume 1 / edited by Harish Sharma, Vivek Shrivastava, Ashish Kumar Tripathi, Lipo Wang.

Format:

Book

Author/Creator:

Sharma, Harish.

Contributor:

Shrivastava, Vivek.

Tripathi, Ashish Kumar.

Wang, Lipo.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 967

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Image processing--Digital techniques.

Image processing.

Computer vision.

Machine learning.

Computational Intelligence.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Machine Learning.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Machine Learning.

Physical Description:

1 online resource (459 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

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.

Contents:

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-V2 Multi 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.

ISBN:

9789819720538

9819720532

OCLC:

1441750943