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Intelligent Multi-Modal Data Processing


Intelligent Multi-Modal Data Processing


The Wiley Series in Intelligent Signal and Data Processing 1. Aufl.

von: Soham Sarkar, Abhishek Basu, Siddhartha Bhattacharyya

106,99 €

Verlag: Wiley
Format: EPUB
Veröffentl.: 08.04.2021
ISBN/EAN: 9781119571438
Sprache: englisch
Anzahl Seiten: 288

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Beschreibungen

<p><b>A comprehensive review of the most recent applications of intelligent multi-modal data processing</b> <p><i>Intelligent Multi-Modal Data Processing</i> contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices. <p>Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book: <li>Includes an in-depth analysis of the state-of-the-art applications of signal and data processing <li>Contains contributions from noted experts in the field <li>Offers information on hybrid differential evolution for optimal multilevel image thresholding <li>Presents a fuzzy decision based multi-objective evolutionary method for video summarisation <p>Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing.
<p>Dedication</p> <p>Preface</p> <p><b>Chapter 1 Introduction</b></p> <p> Soham Sarkar, RCC Institute of Information Technology, India</p> <p>Abhishek Basu, RCC Institute of Information Technology, India</p> <p>Siddhartha Bhattacharyya, RCC Institute of Information Technology, India</p> <p><b>Chapter 2 Progressive Performance of Watermarking Using Spread Spectrum Modulation</b></p> <p> Arunothpol Debnath, RCC Institute of Information Technology, India</p> <p>Anirban Saha, Supreme Knowledge Foundation Group of Institutions Purulia, India</p> <p>Tirtha Sankar Das, Ramkrishna Mahato Government Engineering College, India</p> <p>Abhishek Basu, RCC Institute of Information Technology, India</p> <p>Avik Chattopadhyay, University of Calcutta, India</p> <p><b>Chapter 3 Secured Digital Watermarking Technique and FPGA Implementation</b></p> <p>Ranit Karmakar, Michigan Technological University, USA</p> <p>Zinia Haque, NB Institute for Rural Technology, India</p> <p> Tirtha Sankar Das, Ram Krishna Mahato Government Engineering College Purulia, India</p> <p> Rajeev Kamal, Dayananda Sagar University School of Engineering, India</p> <p><b>Chapter 4 Intelligent Image Watermarking for Copyright Protection</b></p> <p>Subhrajit Sinha Roy, RCC Institute of Information Technology, India</p> <p> Abhishek Basu, RCC Institute of Information Technology, India</p> <p> Avik Chattopadhyay, University of Calcutta, India</p> <p><b>Chapter 5 Video Summarization using Dense Captioning Model</b></p> <p> Arindm Kundu1, Capgemini, India</p> <p> Sourav Das, National Institute of Electronics and Information Technology (NIELIT) Kolkata, India</p> <p> Anup Kumar Kolya, RCC Institute of Information Technology, India</p> <p><b>Chapter 6 A method of fully Autonomous Driving in Self Driving Car based on Machine Learning and Deep Learning</b></p> <p>Harinandan Tunga, RCC Institute of Information Technology, India</p> <p>Rounak Saha, RCC Institute of Information Technology, India</p> <p>Samarjit Kar, NIT Durgapur, India</p> <p><b>Chapter 7 Interoperability Deep Learning algorithms for MultiModel Data Fusion in the Internet-of-Things</b></p> <p> Doaa Mohey Eldin, Cairo University, Egypt                          </p> <p> Aboul Ella Hassanien, Cairo University, Egypt                      </p> <p> Ehab Ezat, Cairo University, Egypt</p> <p><b>Chapter 8 Implementation of Adaptive Optimized Fast Blind Channel Estimation of MIMO-OFDM Systems using MFPA</b></p> <p> Shovon Nandi, Bengal Institute of Technology, India</p> <p> Narendra Nath Pathak, Dr. B. C. Roy Engineering College, India</p> <p> Arnab Nandi, National Institute of Technology, Silchar, India</p> <p><b>Chapter 9 Spectrum Sensing for Cognitive Radio by Filter Bank Approach</b></p> <p> Srijibendu Bagchi, RCC Institute of Information Technology, India</p> <p> Jawad Yaseen Siddiqui, University of Calcutta, India</p> <p><b>Chapter 10 Application of Singularity Expansion Method in Electromagnetism</b></p> <p> Nandan Bhattacharyya, RCC Institute of Information Technology, India</p> <p> Jawad Yaseen Siddiqui, University of Calcutta, India</p> <p><b>Chapter 11 Conclusion</b></p> <p> Soham Sarkar, RCC Institute of Information Technology, India</p> <p> Abhishek Basu, RCC Institute of Information Technology, India</p> <p> Siddhartha Bhattacharyya, RCC Institute of Information Technology, India</p>
<p><b>Soham Sarkar, PhD,</b> is an Assistant Professor in the Department of Electronics and Communication Engineering of RCC Institute of Information Technology, Kolkata, India.</p><p><b>Abhishek Basu, PhD,</b> is an Assistant Professor and former Head of the Department of Electronics and Communication Engineering department of RCC Institute of Information Technology, Kolkata, India.</p><p><b>Siddhartha Bhattacharyya, PhD,</b> is a Professor of Computer Science and Engineering at CHRIST (Deemed to be University), Bangalore, India.</p>
<p><b>A comprehensive review of the most recent applications of intelligent multi-modal data processing</b></p><p><i>Intelligent Multi-modal Data Processing</i> contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement them. <i>Intelligent Multi-modal Data Processing</i> is an authoritative guide for developing innovative research ideas for interdisciplinary research practices.</p><p>Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book:</p><ul><li>Includes an in-depth analysis of the state-of-the-art applications of signal and data processing</li><li>Contains contributions from noted experts in the field</li><li>Offers information on digital watermarking techniques for image copyright information</li><li>Presents applications of recent techniques such as IoT, Machine Learning, and Deep Learning for Data Processing</li></ul><p>Written for students of technology and management, computer scientists and professionals in information technology, <i>Intelligent Multi-modal Data Processing</i> brings together in one volume the range of multi-modal data processing.</p>

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