Applications Of Hybrid Metaheuristic Algorithms For Image Processing

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Applications of Hybrid Metaheuristic Algorithms for Image Processing

Diego Oliva,Salvador Hinojosa
Applications of Hybrid Metaheuristic Algorithms for Image Processing Book PDF

Author : Diego Oliva,Salvador Hinojosa
Publisher : Springer Nature
Page : 488 pages
File Size : 51,7 Mb
Release : 2020-03-27
Category : Technology & Engineering
ISBN : 9783030409777

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Applications of Hybrid Metaheuristic Algorithms for Image Processing by Diego Oliva,Salvador Hinojosa Pdf

This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.

Hybrid Metaheuristics for Image Analysis

Siddhartha Bhattacharyya
Hybrid Metaheuristics for Image Analysis Book PDF

Author : Siddhartha Bhattacharyya
Publisher : Springer
Page : 256 pages
File Size : 47,8 Mb
Release : 2018-07-30
Category : Computers
ISBN : 9783319776255

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Hybrid Metaheuristics for Image Analysis by Siddhartha Bhattacharyya Pdf

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.

Metaheuristics Algorithms for Medical Applications

Mohamed Abdel-Basset,Reda Mohamed,Mohamed Elhoseny
Metaheuristics Algorithms for Medical Applications Book PDF

Author : Mohamed Abdel-Basset,Reda Mohamed,Mohamed Elhoseny
Publisher : Elsevier
Page : 249 pages
File Size : 42,7 Mb
Release : 2023-11-25
Category : Computers
ISBN : 9780443133152

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Metaheuristics Algorithms for Medical Applications by Mohamed Abdel-Basset,Reda Mohamed,Mohamed Elhoseny Pdf

Metaheuristics Algorithms for Medical Applications: Methods and Applications provides readers with the most complete reference for developing Metaheuristics techniques with Machine Learning for solving biomedical problems. The book is organized to present a stepwise progression beginning with the basics of Metaheuristics, leading into methods and practices, and concluding with advanced topics. The first section of the book presents the fundamental concepts of Metaheuristics and Machine Learning, and also provides a comprehensive taxonomic view of Metaheuristics methods according to a variety of criteria such as data type, scope, method, and so forth. The second section of the book explains how to apply Metaheuristics techniques for solving large-scale biomedical problems, including analysis and validation under different strategies. The final portion of the book focuses on advanced topics in Metaheuristics in four different applications. Readers will discover a variety of new methods, approaches, and techniques, as well as a wide range of applications demonstrating key concepts in Metaheuristics for biomedical science. The book provides a leading-edge resource for researchers in a variety of scientific fields who are interested in metaheuristics, including mathematics, biomedical engineering, computer science, biological sciences, and clinicians in medical practice. Introduces a new set of Metaheuristics techniques for biomedical applications Presents basic concepts of Metaheuristics, methods and practices, followed by advanced topics and applications Provides researchers, practitioners, and project stakeholders with a complete guide for understanding and applying metaheuristics and machine learning techniques in their projects and solutions

Metaheuristic Algorithms for Image Segmentation: Theory and Applications

Diego Oliva,Mohamed Abd Elaziz,Salvador Hinojosa
Metaheuristic Algorithms for Image Segmentation Theory and Applications Book PDF

Author : Diego Oliva,Mohamed Abd Elaziz,Salvador Hinojosa
Publisher : Springer
Page : 226 pages
File Size : 54,5 Mb
Release : 2019-03-02
Category : Technology & Engineering
ISBN : 9783030129316

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Metaheuristic Algorithms for Image Segmentation: Theory and Applications by Diego Oliva,Mohamed Abd Elaziz,Salvador Hinojosa Pdf

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic algorithms. The segmentation approaches selected have been extensively applied to the task of segmentation (especially in thresholding), and have also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation problems can be solved from an optimization perspective. The field of image processing is constantly changing due to the extensive integration of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images. Metaheuristic algorithms have also been used in various fields of science and technology as the demand for new methods designed to solve complex optimization problems increases. This didactic book is primarily intended for undergraduate and postgraduate students of science, engineering, and computational mathematics. It is also suitable for courses such as artificial intelligence, advanced image processing, and computational intelligence. The material is also useful for researches in the fields of evolutionary computation, artificial intelligence, and image processing.

Hybrid Quantum Metaheuristics

Siddhartha Bhattacharyya,Mario Köppen,Elizabeth Behrman,Ivan Cruz-Aceves
Hybrid Quantum Metaheuristics Book PDF

Author : Siddhartha Bhattacharyya,Mario Köppen,Elizabeth Behrman,Ivan Cruz-Aceves
Publisher : CRC Press
Page : 276 pages
File Size : 55,6 Mb
Release : 2022-05-07
Category : Technology & Engineering
ISBN : 9781000578157

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Hybrid Quantum Metaheuristics by Siddhartha Bhattacharyya,Mario Köppen,Elizabeth Behrman,Ivan Cruz-Aceves Pdf

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.

Metaheuristics in Machine Learning: Theory and Applications

Diego Oliva
Metaheuristics in Machine Learning Theory and Applications Book PDF

Author : Diego Oliva
Publisher : Springer Nature
Page : 765 pages
File Size : 45,8 Mb
Release : 2024-06-02
Category : Computational intelligence
ISBN : 9783030705428

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Metaheuristics in Machine Learning: Theory and Applications by Diego Oliva Pdf

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.

Recent Advances in Hybrid Metaheuristics for Data Clustering

Sourav De,Sandip Dey,Siddhartha Bhattacharyya
Recent Advances in Hybrid Metaheuristics for Data Clustering Book PDF

Author : Sourav De,Sandip Dey,Siddhartha Bhattacharyya
Publisher : John Wiley & Sons
Page : 196 pages
File Size : 42,7 Mb
Release : 2020-06-02
Category : Computers
ISBN : 9781119551607

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Recent Advances in Hybrid Metaheuristics for Data Clustering by Sourav De,Sandip Dey,Siddhartha Bhattacharyya Pdf

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.

Telemedicine: The Computer Transformation of Healthcare

Tanupriya Choudhury,Avita Katal,Jung-Sup Um,Ajay Rana,Marwan Al-Akaidi
Telemedicine The Computer Transformation of Healthcare Book PDF

Author : Tanupriya Choudhury,Avita Katal,Jung-Sup Um,Ajay Rana,Marwan Al-Akaidi
Publisher : Springer Nature
Page : 378 pages
File Size : 47,7 Mb
Release : 2022-08-24
Category : Medical
ISBN : 9783030994570

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Telemedicine: The Computer Transformation of Healthcare by Tanupriya Choudhury,Avita Katal,Jung-Sup Um,Ajay Rana,Marwan Al-Akaidi Pdf

This book provides an overview of the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system. With the arrival of advanced technologies, telehealth has become a new subject, requiring a different understanding of IT devices and of their use, to fulfill health needs. Different topics are discussed - from the basics of TeleMedicine, to help readers understand the technology from ground up, to details about the infrastructure and communication technologies to offer deeper insights into the technology. The use of IoT and cloud services along with the use of blockchain technology in TeleMedicine are also discussed. Detailed information about the use of machine learning and computer vision techniques for the proper transmission of medical data - keeping in mind the bandwidth of the network - are provided. The book will be a readily accessible source of information for professionals working in the area of information technology as well as for the all those involved in the healthcare environment.

Proceedings of the Ninth International Conference on Mathematics and Computing

Debasis Giri,Dieter Gollmann,S. Ponnusamy,Sakurai Kouichi,Predrag S. Stanimirović,J. K. Sahoo
Proceedings of the Ninth International Conference on Mathematics and Computing Book PDF

Author : Debasis Giri,Dieter Gollmann,S. Ponnusamy,Sakurai Kouichi,Predrag S. Stanimirović,J. K. Sahoo
Publisher : Springer Nature
Page : 433 pages
File Size : 43,8 Mb
Release : 2023-07-31
Category : Technology & Engineering
ISBN : 9789819930807

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Proceedings of the Ninth International Conference on Mathematics and Computing by Debasis Giri,Dieter Gollmann,S. Ponnusamy,Sakurai Kouichi,Predrag S. Stanimirović,J. K. Sahoo Pdf

This book features selected papers from the 9th International Conference on Mathematics and Computing (ICMC 2023), organized at BITS Pilani K. K. Birla Goa Campus, India, during 6–8 January 2023. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry in mathematics, statistics, cryptography, network security, cybersecurity, machine learning, data analytics, and blockchain technology in computer science and information technology.

Translational Bioinformatics Applications in Healthcare

Khalid Raza,Nilanjan Dey
Translational Bioinformatics Applications in Healthcare Book PDF

Author : Khalid Raza,Nilanjan Dey
Publisher : CRC Press
Page : 225 pages
File Size : 54,6 Mb
Release : 2021-04-19
Category : Computers
ISBN : 9781000375169

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Translational Bioinformatics Applications in Healthcare by Khalid Raza,Nilanjan Dey Pdf

Translational bioinformatics (TBI) involves development of storage, analytics, and advanced computational methods to harvest knowledge from voluminous biomedical and genomic data into 4P healthcare (proactive, predictive, preventive, and participatory). Translational Bioinformatics Applications in Healthcare offers a detailed overview on concepts of TBI, biological and clinical databases, clinical informatics, and pertinent real-case applications. It further illustrates recent advancements, tools, techniques, and applications of TBI in healthcare, including Internet of Things (IoT) potential, toxin databases, medical image analysis and telemedicine applications, analytics of COVID-19 CT images, viroinformatics and viral diseases, and COVID-19–related research. Covers recent technologies such as Blockchain, IoT, and Big data analytics in bioinformatics Presents the role of translational bioinformatic methods in the field of viroinformatics, as well as in drug development and repurposing Includes translational healthcare and NGS for clinical applications Illustrates translational medicine systems and their applications in better healthcare Explores medical image analysis with focus on CT images and novel coronavirus disease detection Aimed at researchers and graduate students in computational biology, data mining and knowledge discovery, algorithms and complexity, and interdisciplinary fields of studies, including bioinformatics, health-informatics, biostatistics, biomedical engineering, and viroinformatics. Khalid Raza is an Assistant Professor, the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi. His research interests include translational bioinformatics, computational intelligence methods and its applications in bioinformatics, viroinformatics, and health informatics. Nilanjan Dey is an Associate Professor, the Department of Computer Science and Engineering, JIS University, Kolkata, India. His research interests include medical imaging, machine learning, computer-aided diagnosis, and data mining.

Handbook of Metaheuristic Algorithms

Chun-Wei Tsai,Ming-Chao Chiang
Handbook of Metaheuristic Algorithms Book PDF

Author : Chun-Wei Tsai,Ming-Chao Chiang
Publisher : Elsevier
Page : 624 pages
File Size : 42,5 Mb
Release : 2023-05-30
Category : Computers
ISBN : 9780443191091

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Handbook of Metaheuristic Algorithms by Chun-Wei Tsai,Ming-Chao Chiang Pdf

Handbook of Metaheuristic Algorithms: From Fundamental Theories to Advanced Applications provides a brief introduction to metaheuristic algorithms from the ground up, including basic ideas and advanced solutions. Although readers may be able to find source code for some metaheuristic algorithms on the Internet, the coding styles and explanations are generally quite different, and thus requiring expanded knowledge between theory and implementation. This book can also help students and researchers construct an integrated perspective of metaheuristic and unsupervised algorithms for artificial intelligence research in computer science and applied engineering domains. Metaheuristic algorithms can be considered the epitome of unsupervised learning algorithms for the optimization of engineering and artificial intelligence problems, including simulated annealing (SA), tabu search (TS), genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), differential evolution (DE), and others. Distinct from most supervised learning algorithms that need labeled data to learn and construct determination models, metaheuristic algorithms inherit characteristics of unsupervised learning algorithms used for solving complex engineering optimization problems without labeled data, just like self-learning, to find solutions to complex problems. Presents a unified framework for metaheuristics and describes well-known algorithms and their variants Introduces fundamentals and advanced topics for solving engineering optimization problems, e.g., scheduling problems, sensors deployment problems, and clustering problems Includes source code based on the unified framework for metaheuristics used as examples to show how TS, SA, GA, ACO, PSO, DE, parallel metaheuristic algorithm, hybrid metaheuristic, local search, and other advanced technologies are realized in programming languages such as C++ and Python

Biomedical Engineering Tools for Management for Patients with COVID-19

Valentina Emilia Balas,Oana Geman,Guojun Wang,Muhammad Arif,Octavian Adrian Postolache
Biomedical Engineering Tools for Management for Patients with COVID 19 Book PDF

Author : Valentina Emilia Balas,Oana Geman,Guojun Wang,Muhammad Arif,Octavian Adrian Postolache
Publisher : Academic Press
Page : 218 pages
File Size : 43,9 Mb
Release : 2021-06-08
Category : Science
ISBN : 9780323859950

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Biomedical Engineering Tools for Management for Patients with COVID-19 by Valentina Emilia Balas,Oana Geman,Guojun Wang,Muhammad Arif,Octavian Adrian Postolache Pdf

Biomedical Engineering Tools for Management of Patients with COVID-19 presents biomedical engineering tools under research (and in development) that can be used for the management of COVID-19 patients, along with BME tools in the global environment that curtail and prevent the spread of the virus. BME tools covered in the book include new disinfectants and sterilization equipment, testing devices for rapid and accurate COVID-19 diagnosis, Internet of Things applications in COVID-19 hospitals, analytics, Data Science and statistical modeling applied to COVID-19 tracking, Smart City instruments and applications, and more. Later sections discuss smart tools in telemedicine and e-health. Biomedical engineering tools can provide engineers, computer scientists, clinicians and other policymakers with solutions for managing patient treatment, applying data analysis techniques, and applying tools to help the general population curtail spread of the virus. Provides leading-edge biomedical engineering tools and techniques for the treatment of patients with the COVID-19 virus Integrates a variety of case studies as a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative Biomedical Engineering techniques and devices from COVID-19 researchers around the world

Innovations in Machine and Deep Learning

Gilberto Rivera,Alejandro Rosete,Bernabé Dorronsoro,Nelson Rangel-Valdez
Innovations in Machine and Deep Learning Book PDF

Author : Gilberto Rivera,Alejandro Rosete,Bernabé Dorronsoro,Nelson Rangel-Valdez
Publisher : Springer Nature
Page : 506 pages
File Size : 47,6 Mb
Release : 2023-11-04
Category : Computers
ISBN : 9783031406881

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Innovations in Machine and Deep Learning by Gilberto Rivera,Alejandro Rosete,Bernabé Dorronsoro,Nelson Rangel-Valdez Pdf

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and leaders. This book presents numerous successful applications of AI in various contexts. The innovative implications covered fall under the general field of machine learning (ML), including deep learning, decision-making, forecasting, pattern recognition, information retrieval, and interpretable AI. Decision-makers and entrepreneurs will find numerous successful applications in health care, sustainability, risk management, human activity recognition, logistics, and Industry 4.0. This book is an essential resource for anyone interested in challenges, opportunities, and the latest developments and real-world applications of ML. Whether you are a student, researcher, practitioner, or simply curious about AI, this book provides valuable insights and inspiration for your work and learning.

Modern Metaheuristics in Image Processing

Diego Oliva,Noe Ortega-Sánchez,Salvador Hinojosa,Marco Pérez-Cisneros
Modern Metaheuristics in Image Processing Book PDF

Author : Diego Oliva,Noe Ortega-Sánchez,Salvador Hinojosa,Marco Pérez-Cisneros
Publisher : CRC Press
Page : 140 pages
File Size : 50,9 Mb
Release : 2022-09-28
Category : Computers
ISBN : 9781000800203

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Modern Metaheuristics in Image Processing by Diego Oliva,Noe Ortega-Sánchez,Salvador Hinojosa,Marco Pérez-Cisneros Pdf

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.

Engineering Applications of Modern Metaheuristics

Taymaz Akan,Ahmed M. Anter,A. Şima Etaner-Uyar,Diego Oliva
Engineering Applications of Modern Metaheuristics Book PDF

Author : Taymaz Akan,Ahmed M. Anter,A. Şima Etaner-Uyar,Diego Oliva
Publisher : Springer Nature
Page : 209 pages
File Size : 50,7 Mb
Release : 2022-12-04
Category : Technology & Engineering
ISBN : 9783031168321

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Engineering Applications of Modern Metaheuristics by Taymaz Akan,Ahmed M. Anter,A. Şima Etaner-Uyar,Diego Oliva Pdf

This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.