Intelligent Multidimensional Data And Image Processing

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Intelligent Multidimensional Data and Image Processing

Author : De, Sourav,Bhattacharyya, Siddhartha,Dutta, Paramartha
Publisher : IGI Global
Page : 429 pages
File Size : 55,9 Mb
Release : 2018-06-08
Category : Computers
ISBN : 9781522552475

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Intelligent Multidimensional Data and Image Processing by De, Sourav,Bhattacharyya, Siddhartha,Dutta, Paramartha Pdf

As the most natural and convenient means of conveying or transmitting information, images play a vital role in our daily lives. Image processing is now of paramount importance in the computer vision research community, and proper processing of two-dimensional (2D) real-life images plays a key role in many real-life applications as well as commercial developments. Intelligent Multidimensional Data and Image Processing is a vital research publication that contains an in-depth exploration of image processing techniques used in various applications, including how to handle noise removal, object segmentation, object extraction, and the determination of the nearest object classification and its associated confidence level. Featuring coverage on a broad range of topics such as object detection, machine vision, and image conversion, this book provides critical research for scientists, computer engineers, professionals, researchers, and academicians seeking current research on solutions for new challenges in 2D and 3D image processing.

Intelligent Multidimensional Data Clustering and Analysis

Author : Bhattacharyya, Siddhartha,De, Sourav,Pan, Indrajit,Dutta, Paramartha
Publisher : IGI Global
Page : 450 pages
File Size : 54,7 Mb
Release : 2016-11-29
Category : Computers
ISBN : 9781522517771

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Intelligent Multidimensional Data Clustering and Analysis by Bhattacharyya, Siddhartha,De, Sourav,Pan, Indrajit,Dutta, Paramartha Pdf

Data mining analysis techniques have undergone significant developments in recent years. This has led to improved uses throughout numerous functions and applications. Intelligent Multidimensional Data Clustering and Analysis is an authoritative reference source for the latest scholarly research on the advantages and challenges presented by the use of cluster analysis techniques. Highlighting theoretical foundations, computing paradigms, and real-world applications, this book is ideally designed for researchers, practitioners, upper-level students, and professionals interested in the latest developments in cluster analysis for large data sets.

Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems

Author : E. Priya,V. Rajinikanth
Publisher : Springer Nature
Page : 290 pages
File Size : 41,7 Mb
Release : 2020-09-21
Category : Medical
ISBN : 9789811561412

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Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems by E. Priya,V. Rajinikanth Pdf

This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality. The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.

3D Imaging—Multidimensional Signal Processing and Deep Learning

Author : Lakhmi C. Jain,Roumen Kountchev,Yonghang Tai,Roumiana Kountcheva
Publisher : Springer Nature
Page : 237 pages
File Size : 47,5 Mb
Release : 2022-08-23
Category : Technology & Engineering
ISBN : 9789811924521

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3D Imaging—Multidimensional Signal Processing and Deep Learning by Lakhmi C. Jain,Roumen Kountchev,Yonghang Tai,Roumiana Kountcheva Pdf

This book gathers selected papers presented at the conference “Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology,” one of the first initiatives devoted to the problems of 3D imaging in all contemporary scientific and application areas. The two volumes of the book cover wide area of the aspects of the contemporary multidimensional imaging and outline the related future trends from data acquisition to real-world applications based on new techniques and theoretical approaches. This volume contains papers aimed at the multidimensional systems and signal processing, deep learning, mathematical approaches and the related applications. The related topics are multidimensional multi-component image processing; multidimensional image representation and super-resolution; compression of multidimensional spatio-temporal images; multidimensional image transmission systems; multidimensional signal processing; prediction and filtering of multidimensional process; intelligent multi-spectral and hyper-spectral image processing, intelligent multi-view image processing, 3D deep learning, 3D GIS and graphic database; data-based MD image retrieval and knowledge data mining; watermarking, hiding and encryption of MD images; intelligent visualization of MD images; forensic analysis systems for M3D graphics algorithm; 3D VR (Virtual Reality)/AR (Augmented Reality); applications of multidimensional signal processing; applications of multidimensional systems; multidimensional filters and filter-banks.

Intelligent Multi-Modal Data Processing

Author : Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya
Publisher : John Wiley & Sons
Page : 292 pages
File Size : 46,7 Mb
Release : 2021-04-05
Category : Technology & Engineering
ISBN : 9781119571384

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Intelligent Multi-Modal Data Processing by Soham Sarkar,Abhishek Basu,Siddhartha Bhattacharyya Pdf

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.

Biomedical Signal and Image Examination with Entropy-Based Techniques

Author : V. Rajinikanth,K. Kamalanand,C. Emmanuel,B. Thayumanavan
Publisher : CRC Press
Page : 122 pages
File Size : 40,8 Mb
Release : 2020-12-22
Category : Science
ISBN : 9781000327335

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Biomedical Signal and Image Examination with Entropy-Based Techniques by V. Rajinikanth,K. Kamalanand,C. Emmanuel,B. Thayumanavan Pdf

The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems. The recent research works on biomedical signal evaluation confirms that signal analysis provides vital information regarding the physiological condition of the patient, and the efficient evaluation of these signals can help to diagnose the nature and the severity of the disease. This book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized examination systems for the analysis of biomedical images recorded with a variety of modalities. The work discusses the image pro-processing methods with the Entropies, such as Kapur, Tsallis, Shannon and Fuzzy on a class of RGB-scaled and gray-scaled medical pictures. The performance of the proposed technique is justified with the help of suitable case studies, which involves x-ray image analysis, MRI analysis and CT analysis. This book is intended for medical signal/image analysts, undergraduate and postgraduate students, researchers, and medical scientists interested in biomedical data evaluation.

New Approaches for Multidimensional Signal Processing

Author : Roumen Kountchev,Rumen Mironov,Kazumi Nakamatsu
Publisher : Springer Nature
Page : 330 pages
File Size : 40,6 Mb
Release : 2022-03-21
Category : Technology & Engineering
ISBN : 9789811685583

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New Approaches for Multidimensional Signal Processing by Roumen Kountchev,Rumen Mironov,Kazumi Nakamatsu Pdf

This book comprises a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2021), held at Technical University of Sofia, Sofia, Bulgaria, during 08–10 July 2021. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.

New Approaches for Multidimensional Signal Processing

Author : Roumen Kountchev,Rumen Mironov,Shengqing Li
Publisher : Springer Nature
Page : 268 pages
File Size : 55,9 Mb
Release : 2021-04-20
Category : Technology & Engineering
ISBN : 9789813346765

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New Approaches for Multidimensional Signal Processing by Roumen Kountchev,Rumen Mironov,Shengqing Li Pdf

This book is a collection of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2020), held at Technical University of Sofia, Sofia, Bulgaria, during 09–11 July 2020. The book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images and many more.

Cognitive Social Mining Applications in Data Analytics and Forensics

Author : Haldorai, Anandakumar,Ramu, Arulmurugan
Publisher : IGI Global
Page : 326 pages
File Size : 41,9 Mb
Release : 2018-12-14
Category : Computers
ISBN : 9781522575238

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Cognitive Social Mining Applications in Data Analytics and Forensics by Haldorai, Anandakumar,Ramu, Arulmurugan Pdf

Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are expected to play a major role in meeting this exploding traffic demand on social networks due to their ability to sense the environment, analyze outdoor parameters, and then make decisions for dynamic time, frequency, space, resource allocation, and management to improve the utilization of mining the social data. Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews cognitive radio concepts and examines their applications to social mining using a machine learning approach so that an adaptive and intelligent mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this book is ideally designed for social network analysts, researchers, academicians, and industry professionals.

3D Imaging—Multidimensional Signal Processing and Deep Learning

Author : Srikanta Patnaik,Roumen Kountchev,Yonghang Tai,Roumiana Kountcheva
Publisher : Springer Nature
Page : 283 pages
File Size : 53,9 Mb
Release : 2023-04-27
Category : Technology & Engineering
ISBN : 9789819911455

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3D Imaging—Multidimensional Signal Processing and Deep Learning by Srikanta Patnaik,Roumen Kountchev,Yonghang Tai,Roumiana Kountcheva Pdf

This book presents high-quality research in the field of 3D imaging technology. The fourth edition of International Conference on 3D Imaging Technology (3DDIT-MSP&DL) continues the good traditions already established by the first three editions of the conference to provide a wide scientific forum for researchers, academia and practitioners to exchange newest ideas and recent achievements in all aspects of image processing and analysis, together with their contemporary applications. The conference proceedings are published in 2 volumes. The main topics of the papers comprise famous trends as: 3D image representation, 3D image technology, 3D images and graphics, and computing and 3D information technology. In these proceedings, special attention is paid at the 3D tensor image representation, the 3D content generation technologies, big data analysis, and also deep learning, artificial intelligence, the 3D image analysis and video understanding, the 3D virtual and augmented reality, and many related areas. The first volume contains papers in 3D image processing, transforms and technologies. The second volume is about computing and information technologies, computer images and graphics and related applications. The two volumes of the book cover a wide area of the aspects of the contemporary multidimensional imaging and the related future trends from data acquisition to real-world applications based on various techniques and theoretical approaches.

Applications of Bat Algorithm and its Variants

Author : Nilanjan Dey,V. Rajinikanth
Publisher : Springer Nature
Page : 182 pages
File Size : 41,9 Mb
Release : 2020-06-09
Category : Technology & Engineering
ISBN : 9789811550973

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Applications of Bat Algorithm and its Variants by Nilanjan Dey,V. Rajinikanth Pdf

This book highlights essential concepts in connection with the traditional bat algorithm and its recent variants, as well as its application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic algorithms are extensively being used to address a wide range of real-world optimization problems due to their adaptability and robustness. Developed in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for more than a decade. The BA’s mathematical model is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems. Along with the traditional BA, its enhanced versions are now also being used to solve optimization problems in science, engineering and medical applications around the globe.

Soft Computing for Problem Solving

Author : Kedar Nath Das,Jagdish Chand Bansal,Kusum Deep,Atulya K. Nagar,Ponnambalam Pathipooranam,Rani Chinnappa Naidu
Publisher : Springer Nature
Page : 994 pages
File Size : 40,5 Mb
Release : 2019-11-27
Category : Technology & Engineering
ISBN : 9789811500350

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Soft Computing for Problem Solving by Kedar Nath Das,Jagdish Chand Bansal,Kusum Deep,Atulya K. Nagar,Ponnambalam Pathipooranam,Rani Chinnappa Naidu Pdf

This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions. The book highlights the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers on algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It offers a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that are difficult to solve using traditional methods.

Innovations in Intelligent Image Analysis

Author : Halina Kwasnicka,Lakhmi C. Jain
Publisher : Springer Science & Business Media
Page : 329 pages
File Size : 50,9 Mb
Release : 2011-02-17
Category : Computers
ISBN : 9783642179334

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Innovations in Intelligent Image Analysis by Halina Kwasnicka,Lakhmi C. Jain Pdf

This book presents an introduction to new and important research in the images processing and analysis area. It is hoped that this book will be useful for scientists and students involved in many aspects of image analysis. The book does not attempt to cover all of the aspects of Computer Vision, but the chapters do present some state of the art examples.

Fourth International Congress on Information and Communication Technology

Author : Xin-She Yang,Simon Sherratt,Nilanjan Dey,Amit Joshi
Publisher : Springer Nature
Page : 530 pages
File Size : 53,5 Mb
Release : 2020-01-03
Category : Technology & Engineering
ISBN : 9789813293434

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Fourth International Congress on Information and Communication Technology by Xin-She Yang,Simon Sherratt,Nilanjan Dey,Amit Joshi Pdf

The second volume of this book includes selected high-quality research papers presented at the Fourth International Congress on Information and Communication Technology, which was held at Brunel University, London, on February 27–28, 2019. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT), and e-mining. Written by respected experts and researchers actively working in ICT, the book offers a valuable resource, especially for researchers who are newcomers to the field.

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Author : Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš
Publisher : IGI Global
Page : 296 pages
File Size : 52,8 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781799883524

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Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms by Milutinovi?, Veljko,Miti?, Nenad,Kartelj, Aleksandar,Kotlar, Miloš Pdf

Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.