Quantum Inspired Meta Heuristics For Image Analysis

Download Quantum Inspired Meta Heuristics For Image Analysis full books in PDF, epub, and Kindle. Read online Quantum Inspired Meta Heuristics For Image Analysis ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Quantum Inspired Meta-heuristics for Image Analysis

Author : Sandip Dey
Publisher : John Wiley & Sons
ISBN 13 : 1119488753
Total Pages : 374 pages
Book Rating : 4.1/5 (194 download)

DOWNLOAD NOW!

Book Synopsis Quantum Inspired Meta-heuristics for Image Analysis by : Sandip Dey

Download or read book Quantum Inspired Meta-heuristics for Image Analysis written by Sandip Dey and published by John Wiley & Sons. This book was released on 2019-08-05 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces quantum inspired techniques for image analysis for pure and true gray scale/color images in a single/multi-objective environment This book will entice readers to design efficient meta-heuristics for image analysis in the quantum domain. It introduces them to the essence of quantum computing paradigm, its features, and properties, and elaborates on the fundamentals of different meta-heuristics and their application to image analysis. As a result, it will pave the way for designing and developing quantum computing inspired meta-heuristics to be applied to image analysis. Quantum Inspired Meta-heuristics for Image Analysis begins with a brief summary on image segmentation, quantum computing, and optimization. It also highlights a few relevant applications of the quantum based computing algorithms, meta-heuristics approach, and several thresholding algorithms in vogue. Next, it discusses a review of image analysis before moving on to an overview of six popular meta-heuristics and their algorithms and pseudo-codes. Subsequent chapters look at quantum inspired meta-heuristics for bi-level and gray scale multi-level image thresholding; quantum behaved meta-heuristics for true color multi-level image thresholding; and quantum inspired multi-objective algorithms for gray scale multi-level image thresholding. Each chapter concludes with a summary and sample questions. Provides in-depth analysis of quantum mechanical principles Offers comprehensive review of image analysis Analyzes different state-of-the-art image thresholding approaches Detailed current, popular standard meta-heuristics in use today Guides readers step by step in the build-up of quantum inspired meta-heuristics Includes a plethora of real life case studies and applications Features statistical test analysis of the performances of the quantum inspired meta-heuristics vis-à-vis their conventional counterparts Quantum Inspired Meta-heuristics for Image Analysis is an excellent source of information for anyone working with or learning quantum inspired meta-heuristics for image analysis.

Quantum-Inspired Intelligent Systems for Multimedia Data Analysis

Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
ISBN 13 : 1522552200
Total Pages : 329 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Quantum-Inspired Intelligent Systems for Multimedia Data Analysis by : Bhattacharyya, Siddhartha

Download or read book Quantum-Inspired Intelligent Systems for Multimedia Data Analysis written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2018-04-13 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: As multimedia data advances in technology and becomes more complex, the hybridization of soft computing tools allows for more robust and safe solutions in data processing and analysis. Quantum-Inspired Intelligent Systems for Multimedia Data Analysis provides emerging research on techniques used in multimedia information processing using intelligent paradigms including swarm intelligence, neural networks, and deep learning. While highlighting topics such as clustering techniques, neural network architecture, and text data processing, this publication explores the methods and applications of computational intelligent tools. This book is an important resource for academics, computer engineers, IT professionals, students, and researchers seeking current research in the field of multimedia data processing and quantum intelligent systems.

Recent Trends in Signal and Image Processing

Author : Siddhartha Bhattacharyya
Publisher : Springer Nature
ISBN 13 : 9813369663
Total Pages : 167 pages
Book Rating : 4.8/5 (133 download)

DOWNLOAD NOW!

Book Synopsis Recent Trends in Signal and Image Processing by : Siddhartha Bhattacharyya

Download or read book Recent Trends in Signal and Image Processing written by Siddhartha Bhattacharyya and published by Springer Nature. This book was released on 2021-04-01 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during March 18–19, 2020. It presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively.

Hybrid Quantum Metaheuristics

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000578151
Total Pages : 276 pages
Book Rating : 4.0/5 (5 download)

DOWNLOAD NOW!

Book Synopsis Hybrid Quantum Metaheuristics by : Siddhartha Bhattacharyya

Download or read book Hybrid Quantum Metaheuristics written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2022-05-07 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reference text introduces the principles of quantum mechanics to evolve hybrid metaheuristics-based optimization techniques useful for real world engineering and scientific problems. The text covers advances and trends in methodological approaches, theoretical studies, mathematical and applied techniques related to hybrid quantum metaheuristics and their applications to engineering problems. The book will be accompanied by additional resources including video demonstration for each chapter. It will be a useful text for graduate students and professional in the field of electrical engineering, electronics and communications engineering, and computer science engineering, this text: Discusses quantum mechanical principles in detail. Emphasizes the recent and upcoming hybrid quantum metaheuristics in a comprehensive manner. Provides comparative statistical test analysis with conventional hybrid metaheuristics. Highlights real-life case studies, applications, and video demonstrations.

Hybrid Metaheuristics: Research And Applications

Author : Bhattacharyya Siddhartha
Publisher : World Scientific
ISBN 13 : 9813270241
Total Pages : 312 pages
Book Rating : 4.8/5 (132 download)

DOWNLOAD NOW!

Book Synopsis Hybrid Metaheuristics: Research And Applications by : Bhattacharyya Siddhartha

Download or read book Hybrid Metaheuristics: Research And Applications written by Bhattacharyya Siddhartha and published by World Scientific. This book was released on 2018-09-27 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimization problem, especially with incomplete or imperfect information.This unique compendium focuses on the insights of hybrid metaheuristics. It illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such, the book helps readers to grasp the essentials of hybrid metaheuristics and to address real world problems.The must-have volume serves as an inspiring read for professionals, researchers, academics and graduate students in the fields of artificial intelligence, robotics and machine learning.

Intelligent Multimedia Data Analysis

Author : Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110552078
Total Pages : 196 pages
Book Rating : 4.1/5 (15 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Multimedia Data Analysis by : Siddhartha Bhattacharyya

Download or read book Intelligent Multimedia Data Analysis written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-02-19 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.

Cognitive Engineering for Next Generation Computing

Author : Kolla Bhanu Prakash
Publisher : John Wiley & Sons
ISBN 13 : 1119711088
Total Pages : 370 pages
Book Rating : 4.1/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Cognitive Engineering for Next Generation Computing by : Kolla Bhanu Prakash

Download or read book Cognitive Engineering for Next Generation Computing written by Kolla Bhanu Prakash and published by John Wiley & Sons. This book was released on 2021-04-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different types of datasets with structured content based on cognitive systems. The IoT gathers the information from the real time datasets through the internet, where the IoT network connects with multiple devices. This book mainly concentrates on providing the best solutions to existing real-time issues in the cognitive domain. Healthcare-based, cloud-based and smart transportation-based applications in the cognitive domain are addressed. The data integrity and security aspects of the cognitive computing main are also thoroughly discussed along with validated results.

Quantum Machine Learning

Author : Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110670704
Total Pages : 131 pages
Book Rating : 4.1/5 (16 download)

DOWNLOAD NOW!

Book Synopsis Quantum Machine Learning by : Siddhartha Bhattacharyya

Download or read book Quantum Machine Learning written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-06-08 with total page 131 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices.

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3319746901
Total Pages : 717 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) by : Aboul Ella Hassanien

Download or read book The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) written by Aboul Ella Hassanien and published by Springer. This book was released on 2018-01-25 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22–24, 2018, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms and optimization.

Handbook of Research on Swarm Intelligence in Engineering

Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
ISBN 13 : 1466682922
Total Pages : 744 pages
Book Rating : 4.4/5 (666 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on Swarm Intelligence in Engineering by : Bhattacharyya, Siddhartha

Download or read book Handbook of Research on Swarm Intelligence in Engineering written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2015-04-30 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Swarm Intelligence has recently emerged as a next-generation methodology belonging to the class of evolutionary computing. As a result, scientists have been able to explain and understand real-life processes and practices that previously remained unexplored. The Handbook of Research on Swarm Intelligence in Engineering presents the latest research being conducted on diverse topics in intelligence technologies such as Swarm Intelligence, Machine Intelligence, Optical Engineering, and Signal Processing with the goal of advancing knowledge and applications in this rapidly evolving field. The enriched interdisciplinary contents of this book will be a subject of interest to the widest forum of faculties, existing research communities, and new research aspirants from a multitude of disciplines and trades.

Hybrid Metaheuristics for Image Analysis

Author : Siddhartha Bhattacharyya
Publisher : Springer
ISBN 13 : 3319776258
Total Pages : 256 pages
Book Rating : 4.3/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Hybrid Metaheuristics for Image Analysis by : Siddhartha Bhattacharyya

Download or read book Hybrid Metaheuristics for Image Analysis written by Siddhartha Bhattacharyya and published by Springer. This book was released on 2018-07-30 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.

Hybrid Quantum Metaheuristics

Author : Siddhartha Bhattacharyya
Publisher : CRC Press
ISBN 13 : 1000578208
Total Pages : 324 pages
Book Rating : 4.0/5 (5 download)

DOWNLOAD NOW!

Book Synopsis Hybrid Quantum Metaheuristics by : Siddhartha Bhattacharyya

Download or read book Hybrid Quantum Metaheuristics written by Siddhartha Bhattacharyya and published by CRC Press. This book was released on 2022-05-07 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reference text introduces the principles of quantum mechanics to evolve hybrid metaheuristics-based optimization techniques useful for real world engineering and scientific problems. The text covers advances and trends in methodological approaches, theoretical studies, mathematical and applied techniques related to hybrid quantum metaheuristics and their applications to engineering problems. The book will be accompanied by additional resources including video demonstration for each chapter. It will be a useful text for graduate students and professional in the field of electrical engineering, electronics and communications engineering, and computer science engineering, this text: Discusses quantum mechanical principles in detail. Emphasizes the recent and upcoming hybrid quantum metaheuristics in a comprehensive manner. Provides comparative statistical test analysis with conventional hybrid metaheuristics. Highlights real-life case studies, applications, and video demonstrations.

Soft Computing Based Medical Image Analysis

Author : Nilanjan Dey
Publisher : Academic Press
ISBN 13 : 0128131748
Total Pages : 292 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing Based Medical Image Analysis by : Nilanjan Dey

Download or read book Soft Computing Based Medical Image Analysis written by Nilanjan Dey and published by Academic Press. This book was released on 2018-01-18 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing. It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis and processing. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Covers numerous soft computing approaches, including fuzzy logic, neural networks, evolutionary computing, rough sets and Swarm intelligence Presents transverse research in soft computing formation from various engineering and industrial sectors in the medical domain Highlights challenges and the future scope for soft computing based medical analysis and processing techniques

Recent Advances in Hybrid Metaheuristics for Data Clustering

Author : Sourav De
Publisher : John Wiley & Sons
ISBN 13 : 1119551595
Total Pages : 196 pages
Book Rating : 4.1/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Recent Advances in Hybrid Metaheuristics for Data Clustering by : Sourav De

Download or read book Recent Advances in Hybrid Metaheuristics for Data Clustering written by Sourav De and published by John Wiley & Sons. This book was released on 2020-08-24 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authors—noted experts on the topic—provide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering. The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text: Includes performance analysis of the hybrid metaheuristics as related to their conventional counterparts Offers an in-depth analysis of a range of optimization algorithms Highlights a review of data clustering Contains a detailed overview of different standard metaheuristics in current use Presents a step-by-step guide to the build-up of hybrid metaheuristics Offers real-life case studies and applications Written for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques.

Examining Quantum Algorithms for Quantum Image Processing

Author : Li, HaiSheng
Publisher : IGI Global
ISBN 13 : 1799838005
Total Pages : 336 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Examining Quantum Algorithms for Quantum Image Processing by : Li, HaiSheng

Download or read book Examining Quantum Algorithms for Quantum Image Processing written by Li, HaiSheng and published by IGI Global. This book was released on 2020-09-25 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: An emerging interdisciplinary field of study in the realm of academia has been quantum computing and its various applications. The rapid rate of progress of this advancing technology as well as its multi-faceted nature has created a vast amount of potential research material for professionals and students in numerous disciplines. Its specific ability to improve upon traditional algorithms for image processing is seizing the attention of researchers in this field, as there remains a lack of exploration into this precise area. Examining Quantum Algorithms for Quantum Image Processing is an essential reference that provides research on quantum Fourier transform, quantum wavelet transform, and quantum wavelet packet transform as tool algorithms in image processing and quantum computing. It provides a comprehensive look into quantum image algorithms to establish frameworks of quantum image processing. While highlighting topics including geometric transformation, quantum compression ratio, and storage circuits, this book is ideally designed for researchers, scientists, developers, academicians, programmers, practitioners, engineers, and upper graduate students.

Modern Metaheuristics in Image Processing

Author : Diego Oliva
Publisher : CRC Press
ISBN 13 : 1000800202
Total Pages : 140 pages
Book Rating : 4.0/5 (8 download)

DOWNLOAD NOW!

Book Synopsis Modern Metaheuristics in Image Processing by : Diego Oliva

Download or read book Modern Metaheuristics in Image Processing written by Diego Oliva and published by CRC Press. This book was released on 2022-09-28 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of metaheuristic algorithms (MA) has been increasing in recent years, and the image processing field is not the exempted of their application. In the last two years a big amount of MA has been introduced as alternatives for solving complex optimization problems. This book collects the most prominent MA of the 2019 and 2020 and verifies its use in image processing tasks. In addition, literature review of both MA and digital image processing is presented as part of the introductory information. Each algorithm is detailed explained with special focus in the tuning parameters and the proper implementation for the image processing tasks. Besides several examples permits to the reader explore and confirm the use of this kind of intelligent methods. Since image processing is widely used in different domains, this book considers different kinds of datasets that includes, magnetic resonance images, thermal images, agriculture images, among others. The reader then can have some ideas of implementation that complement the theory exposed of each optimization mechanism. Regarding the image processing problems this book consider the segmentation by using different metrics based on entropies or variances. In the same way, the identification of different shapes and the detection of objects are also covered in the corresponding chapters. Each chapter is complemented with a wide range of experiments and statistical analysis that permits the reader to judge about the performance of the MA. Finally, there is included a section that includes some discussion and conclusions. This section also provides some open questions and research opportunities for the audience.

Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1522507892
Total Pages : 1780 pages
Book Rating : 4.5/5 (225 download)

DOWNLOAD NOW!

Book Synopsis Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2016-07-26 with total page 1780 pages. Available in PDF, EPUB and Kindle. Book excerpt: As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing.