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              <text>Intelligent Multi-modal Data Processing</text>
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              <text>A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing 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. 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: Includes an in-depth analysis of the state-of-the-art applications of signal and data processing Contains contributions from noted experts in the field Offers information on hybrid differential evolution for optimal multilevel image thresholding Presents a fuzzy decision based multi-objective evolutionary method for video summarisation 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.  2021 John Wiley &amp;amp; Sons Ltd. All rights reserved.</text>
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              <text>Intelligent Multi-modal Data Processing, pp. 1-256.</text>
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              <text>&lt;a href="https://doi.org/10.1002/9781119571452" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/9781119571452&lt;/a&gt;
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              <text>Sarkar S., Department of Electronics and Communication Engineering, RCC Institute of Information Technology, Kolkata, India; Basu A., Department of Electronics and Communication Engineering, RCC Institute of Information Technology, Kolkata, India; Bhattacharyya S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India</text>
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