Nature Inspired Optimization Methodologies In Biomedical And Healthcare

Nature Inspired Optimization Methodologies In Biomedical And Healthcare Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Nature Inspired Optimization Methodologies In Biomedical And Healthcare book. This book definitely worth reading, it is an incredibly well-written.

Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

Janmenjoy Nayak,Asit Kumar Das,Bighnaraj Naik,Saroj K. Meher,Sheryl Brahnam
Nature Inspired Optimization Methodologies in Biomedical and Healthcare Book PDF

Author : Janmenjoy Nayak,Asit Kumar Das,Bighnaraj Naik,Saroj K. Meher,Sheryl Brahnam
Publisher : Springer Nature
Page : 304 pages
File Size : 48,6 Mb
Release : 2022-11-14
Category : Technology & Engineering
ISBN : 9783031175442

Get Book

Nature-Inspired Optimization Methodologies in Biomedical and Healthcare by Janmenjoy Nayak,Asit Kumar Das,Bighnaraj Naik,Saroj K. Meher,Sheryl Brahnam Pdf

This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid manner for the effective integration and finding solution for a large-scale complex healthcare problem. In the present bigdata-based computing scenario, nature-inspired optimization techniques present adaptive mechanisms that permit the understanding of complex data and altering environments. This book is a voluminous collection for the confront faced by the healthcare institutions and hospitals for practical analysis, storage, and data analysis. It explores the distinct nature-inspired optimization-based approaches that are able to handle more accurate outcomes for the current biomedical and healthcare problems. In addition to providing a state-of-the-art and advanced intelligent methods, it also enlightens an insight for solving diversified healthcare problems such as cancer and diabetes.

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer
Nature Inspired Intelligent Techniques for Solving Biomedical Engineering Problems Book PDF

Author : Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer
Publisher : IGI Global
Page : 381 pages
File Size : 54,6 Mb
Release : 2018-03-31
Category : Technology & Engineering
ISBN : 9781522547709

Get Book

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems by Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer Pdf

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

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
Page : 0 pages
File Size : 53,9 Mb
Release : 2023-12-29
Category : Medical
ISBN : 3031459512

Get Book

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.

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 : 40,8 Mb
Release : 2024-01-02
Category : Medical
ISBN : 9783031459528

Get Book

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.

Advances in Computing and Data Sciences

Mayank Singh,Vipin Tyagi,P.K. Gupta,Jan Flusser,Tuncer Ören
Advances in Computing and Data Sciences Book PDF

Author : Mayank Singh,Vipin Tyagi,P.K. Gupta,Jan Flusser,Tuncer Ören
Publisher : Springer Nature
Page : 611 pages
File Size : 41,5 Mb
Release : 2023-08-23
Category : Computers
ISBN : 9783031379406

Get Book

Advances in Computing and Data Sciences by Mayank Singh,Vipin Tyagi,P.K. Gupta,Jan Flusser,Tuncer Ören Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Advances in Computing and Data Sciences, ICACDS 2023, held in Kolkata, India, during April 27–28, 2023. The 47 full papers included in this book were carefully reviewed and selected from 22 submissions. The papers focus on advances of next generation computing technologies in the areas of advanced computing and data sciences.

Nature-Inspired Optimization Algorithms

Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Nature Inspired Optimization Algorithms Book PDF

Author : Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Publisher : Walter de Gruyter GmbH & Co KG
Page : 168 pages
File Size : 55,6 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110676112

Get Book

Nature-Inspired Optimization Algorithms by Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen Pdf

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations

Biotechnology: Concepts, Methodologies, Tools, and Applications

Management Association, Information Resources
Biotechnology Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2183 pages
File Size : 53,7 Mb
Release : 2019-06-07
Category : Science
ISBN : 9781522589044

Get Book

Biotechnology: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Biotechnology can be defined as the manipulation of biological process, systems, and organisms in the production of various products. With applications in a number of fields such as biomedical, chemical, mechanical, and civil engineering, research on the development of biologically inspired materials is essential to further advancement. Biotechnology: Concepts, Methodologies, Tools, and Applications is a vital reference source for the latest research findings on the application of biotechnology in medicine, engineering, agriculture, food production, and other areas. It also examines the economic impacts of biotechnology use. Highlighting a range of topics such as pharmacogenomics, biomedical engineering, and bioinformatics, this multi-volume book is ideally designed for engineers, pharmacists, medical professionals, practitioners, academicians, and researchers interested in the applications of biotechnology.

Intelligent Decision Making Through Bio-Inspired Optimization

Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Intelligent Decision Making Through Bio Inspired Optimization Book PDF

Author : Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Publisher : IGI Global
Page : 291 pages
File Size : 41,6 Mb
Release : 2024-04-15
Category : Business & Economics
ISBN : 9798369320747

Get Book

Intelligent Decision Making Through Bio-Inspired Optimization by Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram Pdf

Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving. In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape.

Nature-Inspired Intelligent Computing Techniques in Bioinformatics

Khalid Raza
Nature Inspired Intelligent Computing Techniques in Bioinformatics Book PDF

Author : Khalid Raza
Publisher : Springer Nature
Page : 340 pages
File Size : 45,8 Mb
Release : 2022-10-31
Category : Technology & Engineering
ISBN : 9789811963797

Get Book

Nature-Inspired Intelligent Computing Techniques in Bioinformatics by Khalid Raza Pdf

This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications. This edited volume covers fundamental applications, scope, and future perspectives of NIC techniques in bioinformatics including genomic profiling, gene expression data classification, DNA computation, systems and network biology, solving personalized therapy complications, antimicrobial resistance in bacterial pathogens, and computer-aided drug design, discovery, and therapeutics. It also covers the role of NIC techniques in various diseases and disorders, including cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and potential therapeutics identifications.

Nature-inspired Optimization Algorithms and Soft Computing

Rajeev Arya,Sangeeta Singh,Maheshwari P. Singh,Brijesh R. Iyer,Venkat N. Gudivada
Nature inspired Optimization Algorithms and Soft Computing Book PDF

Author : Rajeev Arya,Sangeeta Singh,Maheshwari P. Singh,Brijesh R. Iyer,Venkat N. Gudivada
Publisher : IET
Page : 297 pages
File Size : 53,7 Mb
Release : 2023-09-20
Category : Computers
ISBN : 9781839535161

Get Book

Nature-inspired Optimization Algorithms and Soft Computing by Rajeev Arya,Sangeeta Singh,Maheshwari P. Singh,Brijesh R. Iyer,Venkat N. Gudivada Pdf

This edited book reviews the intertwining disciplines of nature-inspired optimization algorithms and bio-inspired soft-computing for real world applications, with the interaction between metaheuristics with complex systems. The authors present methods and techniques in IoT, image processing, smart manufacturing and healthcare.

Bio-Inspired Optimization for Medical Data

Sumit Srivastava,Abhineet Abhineet,Abhishek Kumar,Bhawna Saini,Pramod Singh Rathore
Bio Inspired Optimization for Medical Data Book PDF

Author : Sumit Srivastava,Abhineet Abhineet,Abhishek Kumar,Bhawna Saini,Pramod Singh Rathore
Publisher : Wiley-Scrivener
Page : 0 pages
File Size : 54,6 Mb
Release : 2024-09-04
Category : Computers
ISBN : 1394214189

Get Book

Bio-Inspired Optimization for Medical Data by Sumit Srivastava,Abhineet Abhineet,Abhishek Kumar,Bhawna Saini,Pramod Singh Rathore Pdf

Bio-Inspired Optimization for Medical Data is a groundbreaking book that delves into the convergence of nature’s ingenious algorithms and cutting-edge healthcare technology. Through a comprehensive exploration of state-of-the-art algorithms and practical case studies, readers gain unparalleled insights into optimizing medical data processing, enabling more precise diagnosis, optimizing treatment plans, and ultimately advancing the field of healthcare. Organized into 15 chapters, readers learn about the theoretical foundation of pragmatic implementation strategies and actionable advice. In addition, it addresses current developments in molecular subtyping and how they can enhance clinical care. By bridging the gap between cutting-edge technology and critical healthcare challenges, this book is a pivotal contribution, providing a roadmap for leveraging nature-inspired algorithms. This is an indispensable resource that will drive significant changes in the healthcare sector.

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 : 43,6 Mb
Release : 2023-12-03
Category : Technology & Engineering
ISBN : 9789819966455

Get Book

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.

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
Handbook of Nature Inspired Optimization Algorithms The State of the Art Book PDF

Author : Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
Publisher : Springer Nature
Page : 220 pages
File Size : 44,6 Mb
Release : 2022-09-03
Category : Technology & Engineering
ISBN : 9783031075162

Get Book

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art by Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan Pdf

This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency. The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

Big Data Analytics for Intelligent Healthcare Management

Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera
Big Data Analytics for Intelligent Healthcare Management Book PDF

Author : Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera
Publisher : Academic Press
Page : 312 pages
File Size : 53,8 Mb
Release : 2019-04-15
Category : Science
ISBN : 9780128181478

Get Book

Big Data Analytics for Intelligent Healthcare Management by Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera Pdf

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more

Bio-Inspired Optimization Techniques in Blockchain Systems

Vignesh, U.,M., Manikandan,Doshi, Ruchi
Bio Inspired Optimization Techniques in Blockchain Systems Book PDF

Author : Vignesh, U.,M., Manikandan,Doshi, Ruchi
Publisher : IGI Global
Page : 306 pages
File Size : 41,9 Mb
Release : 2024-01-29
Category : Computers
ISBN : 9798369311325

Get Book

Bio-Inspired Optimization Techniques in Blockchain Systems by Vignesh, U.,M., Manikandan,Doshi, Ruchi Pdf

In the dynamic landscape of bioinformatics and blockchain technology, a profound challenge is evident: ensuring secure exchange and analysis of complex biological data while maintaining data integrity and ownership. Traditional methods fall short in seamlessly transferring genomic data, spurring the fusion of blockchain innovation and optimization algorithms as a groundbreaking solution. Biology-Inspired Optimization Techniques in Blockchain Systems directly addresses the data integrity and ownership dilemma in bioinformatics and blockchain. Despite the intricacies of genomic data, blockchain's potential solution faces obstacles like data volume and slow transactions. These challenges are adeptly overcome through optimization algorithms. The book, authored by experts in bioinformatics, blockchain, and optimization, offers a comprehensive guide, showcasing how blockchain architecture and biological data intricacies can harmonize. It provides a blueprint for using blockchain to store genomic variants and aligned reads. This work empowers developers, data scientists, and researchers to overcome technological barriers, redefining the landscape of bioinformatics and beyond.