Metaheuristics Algorithms For Medical Applications

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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 : 42,8 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

Nature-Inspired Methods for Smart Healthcare Systems and Medical Data

Ahmed M. Anter,Mohamed Elhoseny,Anuradha D. Thakare
Nature Inspired Methods for Smart Healthcare Systems and Medical Data Book PDF

Author : Ahmed M. Anter,Mohamed Elhoseny,Anuradha D. Thakare
Publisher : Springer Nature
Page : 265 pages
File Size : 50,7 Mb
Release : 2024-01-02
Category : Medical
ISBN : 9783031459528

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Nature-Inspired Methods for Smart Healthcare Systems and Medical Data by Ahmed M. Anter,Mohamed Elhoseny,Anuradha D. Thakare Pdf

This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimization in various smart healthcare contexts. The book also discusses the capability of optimization techniques to obtain optimal parameters in ML and DL technologies. It provides an open platform for academics and engineers to share their unique ideas and investigate the potential convergence of existing systems and advanced metaheuristic algorithms. The book's outcome will enable decision-makers and practitioners to select suitable optimization approaches for scheduling patients in crowded environments with minimized human errors. The healthcare system aims to improve the lives of disabled, elderly, sick individuals, and children. IoT-based systems simplify decision-making and task automation, offering an automated foundation. Nature-inspired metaheuristics and mining algorithms are crucial for healthcare applications, reducing costs, increasing efficiency, enabling accurate data analysis, and enhancing patient care. Metaheuristics improve algorithm performance and address challenges in data mining and ML, making them essential in healthcare research. Real-time IoT-based healthcare systems can be modeled using an IoT-based metaheuristic approach to generate optimal solutions. Metaheuristics are powerful technologies for optimization problems in healthcare systems. They balance exact methods, which guarantee optimal solutions but require significant computational resources, with fast but low-quality greedy methods. Metaheuristic algorithms find better solutions while minimizing computational time. The scientific community is increasingly interested in metaheuristics, incorporating techniques from AI, operations research, and soft computing. New metaheuristics offer efficient ways to address optimization problems and tackle unsolved challenges. They can be parameterized to control performance and adjust the trade-off between solution quality and resource utilization. Metaheuristics manage the trade-off between performance and solution quality, making them highly applicable to real-time applications with pragmatic objectives.

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 : 40,5 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.

Metaheuristics for Medicine and Biology

Amir Nakib,El-Ghazali Talbi
Metaheuristics for Medicine and Biology Book PDF

Author : Amir Nakib,El-Ghazali Talbi
Publisher : Springer
Page : 221 pages
File Size : 54,8 Mb
Release : 2017-03-22
Category : Technology & Engineering
ISBN : 9783662544280

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Metaheuristics for Medicine and Biology by Amir Nakib,El-Ghazali Talbi Pdf

This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers. To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.

Comprehensive Metaheuristics

Seyedali Mirjalili,Amir Hossein Gandomi
Comprehensive Metaheuristics Book PDF

Author : Seyedali Mirjalili,Amir Hossein Gandomi
Publisher : Elsevier
Page : 468 pages
File Size : 47,8 Mb
Release : 2023-01-31
Category : Computers
ISBN : 9780323972673

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Comprehensive Metaheuristics by Seyedali Mirjalili,Amir Hossein Gandomi Pdf

Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains. The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts. Presented by world-renowned researchers and practitioners in metaheuristics Includes techniques, algorithms, and applications based on real-world case studies Presents the methodology for formulating optimization problems for metaheuristics Provides readers with methods for analyzing and tuning the performance of a metaheuristic, as well as for integrating metaheuristics in other AI techniques Features online complementary source code from the applications and algorithms

Application of Advanced Optimization Techniques for Healthcare Analytics

Mohamed Abdel-Basset,Ripon K. Chakrabortty,Reda Mohamed
Application of Advanced Optimization Techniques for Healthcare Analytics Book PDF

Author : Mohamed Abdel-Basset,Ripon K. Chakrabortty,Reda Mohamed
Publisher : CRC Press
Page : 245 pages
File Size : 54,8 Mb
Release : 2023-04-11
Category : Computers
ISBN : 9781000852813

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Application of Advanced Optimization Techniques for Healthcare Analytics by Mohamed Abdel-Basset,Ripon K. Chakrabortty,Reda Mohamed Pdf

Application of Advanced Optimization Techniques for Healthcare Analytics, 1st Edition, is an excellent compilation of current and advanced optimization techniques which can readily be applied to solve different hospital management problems. The healthcare system is currently a topic of significant investigation to make life easier for those who are disabled, old, or sick, as well as for young children. The emphasis of the healthcare system has evolved throughout time due to several emerging beneficial technologies, such as personal digital assistants (PDAs), data mining, the internet of things, metaheuristics, fog computing, and cloud computing. Metaheuristics are strong technology for tackling several optimization problems in various fields, especially healthcare systems. The primary advantage of metaheuristic algorithms is their ability to find a better solution to a healthcare problem and their ability to consume as little time as possible. In addition, metaheuristics are more flexible compared to several other optimization techniques. These algorithms are not related to a specific optimization problem but could be applied to any optimization problem by making some small adaptations to become suitable to tackle it. The successful outcome of this book will enable a decision-maker or practitioner to pick a suitable optimization approach when making decisions to schedule patients under crowding environments with minimized human errors.

Advancements in Applied Metaheuristic Computing

Dey, Nilanjan
Advancements in Applied Metaheuristic Computing Book PDF

Author : Dey, Nilanjan
Publisher : IGI Global
Page : 335 pages
File Size : 41,8 Mb
Release : 2017-11-30
Category : Computers
ISBN : 9781522541523

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Advancements in Applied Metaheuristic Computing by Dey, Nilanjan Pdf

Metaheuristic algorithms are present in various applications for different domains. Recently, researchers have conducted studies on the effectiveness of these algorithms in providing optimal solutions to complicated problems. Advancements in Applied Metaheuristic Computing is a crucial reference source for the latest empirical research on methods and approaches that include metaheuristics for further system improvements, and it offers outcomes of employing optimization algorithms. Featuring coverage on a broad range of topics such as manufacturing, genetic programming, and medical imaging, this publication is ideal for researchers, academicians, advanced-level students, and technology developers seeking current research on the use of optimization algorithms in several applications.

Computational Intelligence Methods for Super-Resolution in Image Processing Applications

Anand Deshpande,Vania V. Estrela,Navid Razmjooy
Computational Intelligence Methods for Super Resolution in Image Processing Applications Book PDF

Author : Anand Deshpande,Vania V. Estrela,Navid Razmjooy
Publisher : Springer Nature
Page : 308 pages
File Size : 41,9 Mb
Release : 2021-05-28
Category : Technology & Engineering
ISBN : 9783030679217

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Computational Intelligence Methods for Super-Resolution in Image Processing Applications by Anand Deshpande,Vania V. Estrela,Navid Razmjooy Pdf

This book explores the application of deep learning techniques within a particularly difficult computational type of computer vision (CV) problem ─ super-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores the possibility of using different kinds of CV techniques to develop and enhance the tools/processes related to SR. The application areas covered include biomedical engineering, healthcare applications, medicine, histology, and material science. The book will be a valuable reference for anyone concerned with multiple multimodal images, especially professionals working in remote sensing, nanotechnology and immunology at research institutes, healthcare facilities, biotechnology institutions, agribusiness services, veterinary facilities, and universities.

Machine Learning and Metaheuristics: Methods and Analysis

Uma N. Dulhare,Essam Halim Houssein
Machine Learning and Metaheuristics Methods and Analysis Book PDF

Author : Uma N. Dulhare,Essam Halim Houssein
Publisher : Springer Nature
Page : 304 pages
File Size : 53,6 Mb
Release : 2023-12-03
Category : Technology & Engineering
ISBN : 9789819966455

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Machine Learning and Metaheuristics: Methods and Analysis by Uma N. Dulhare,Essam Halim Houssein Pdf

This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.

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 : 44,6 Mb
Release : 2024-06-11
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.

Advanced Classification Techniques for Healthcare Analysis

Chakraborty, Chinmay
Advanced Classification Techniques for Healthcare Analysis Book PDF

Author : Chakraborty, Chinmay
Publisher : IGI Global
Page : 424 pages
File Size : 52,6 Mb
Release : 2019-02-22
Category : Medical
ISBN : 9781522577973

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Advanced Classification Techniques for Healthcare Analysis by Chakraborty, Chinmay Pdf

Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.

Metaheuristic Optimization Algorithms

Laith Abualigah
Metaheuristic Optimization Algorithms Book PDF

Author : Laith Abualigah
Publisher : Elsevier
Page : 291 pages
File Size : 51,5 Mb
Release : 2024-05-05
Category : Computers
ISBN : 9780443139260

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Metaheuristic Optimization Algorithms by Laith Abualigah Pdf

Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications presents the most recent optimization algorithms and their applications across a wide range of scientific and engineering research fields. Metaheuristic Optimization Algorithms have become indispensable tools, with applications in data analysis, text mining, classification problems, computer vision, image analysis, pattern recognition, medicine, and many others. Most complex systems problems involve a continuous flow of data that makes it impossible to manage and analyze manually. The outcome depends on the processing of high-dimensional data, most of it irregular and unordered, present in various forms such as text, images, videos, audio, and graphics. The authors of Meta-Heuristic Optimization Algorithms provide readers with a comprehensive overview of eighteen optimization algorithms to address this complex data, including Particle Swarm Optimization Algorithm, Arithmetic Optimization Algorithm, Whale Optimization Algorithm, and Marine Predators Algorithm, along with new and emerging methods such as Aquila Optimizer, Quantum Approximate Optimization Algorithm, Manta-Ray Foraging Optimization Algorithm, and Gradient Based Optimizer, among others. Each chapter includes an introduction to the modeling concepts used to create the algorithm, followed by the mathematical and procedural structure of the algorithm, associated pseudocode, and real-world case studies to demonstrate how each algorithm can be applied to a variety of scientific and engineering solutions. World-renowned researchers and practitioners in Metaheuristics present the procedures and pseudocode for creating a wide range of optimization algorithms Helps readers formulate and design the best optimization algorithms for their research goals through case studies in a variety of real-world applications Helps readers understand the links between Metaheuristic algorithms and their application in Computational Intelligence, Machine Learning, and Deep Learning problems

Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization

Ali Kaveh,Kiarash Biabani Hamedani
Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization Book PDF

Author : Ali Kaveh,Kiarash Biabani Hamedani
Publisher : Springer Nature
Page : 369 pages
File Size : 44,6 Mb
Release : 2022-09-17
Category : Technology & Engineering
ISBN : 9783031134296

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Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization by Ali Kaveh,Kiarash Biabani Hamedani Pdf

The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea of the framework is to divide the population of individuals into subpopulations of identical sizes. Therefore, in each iteration of the search process, different subpopulations explore the search space independently but simultaneously. The framework aims to provide a suitable balance between exploration and exploitation during the search process. A few chapters containing algorithm-specific modifications of some state-of-the-art metaheuristics are also included to further enrich the book. The present book is addressed to those scientists, engineers, and students who wish to explore the potentials of newly developed metaheuristics. The proposed metaheuristics are not only applicable to structural optimization problems but can also be used for other engineering optimization applications. The book is likely to be of interest to a wide range of engineers and students who deal with engineering optimization problems.

Medical Applications of Artificial Intelligence

Arvin Agah
Medical Applications of Artificial Intelligence Book PDF

Author : Arvin Agah
Publisher : CRC Press
Page : 512 pages
File Size : 43,7 Mb
Release : 2013-11-06
Category : Medical
ISBN : 9781439884331

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Medical Applications of Artificial Intelligence by Arvin Agah Pdf

Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems. After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.

Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance

Vasant, Pandian M.
Meta Heuristics Optimization Algorithms in Engineering Business Economics and Finance Book PDF

Author : Vasant, Pandian M.
Publisher : IGI Global
Page : 735 pages
File Size : 41,5 Mb
Release : 2012-09-30
Category : Computers
ISBN : 9781466620872

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Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance by Vasant, Pandian M. Pdf

Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.