Bio Inspired Optimization For Medical Data

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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 : 51,8 Mb
Release : 2024-09-04
Category : Computers
ISBN : 1394214189

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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.

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 : 45,6 Mb
Release : 2024-01-29
Category : Computers
ISBN : 9798369311325

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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.

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 : 53,7 Mb
Release : 2022-11-14
Category : Technology & Engineering
ISBN : 9783031175442

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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.

Bio-Inspired Optimization in Fog and Edge Computing Environments

Punit Gupta,Dinesh Kumar Saini,Pradeep Rawat,Kashif Zia
Bio Inspired Optimization in Fog and Edge Computing Environments Book PDF

Author : Punit Gupta,Dinesh Kumar Saini,Pradeep Rawat,Kashif Zia
Publisher : CRC Press
Page : 269 pages
File Size : 48,9 Mb
Release : 2023-01-20
Category : Computers
ISBN : 9781000811513

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Bio-Inspired Optimization in Fog and Edge Computing Environments by Punit Gupta,Dinesh Kumar Saini,Pradeep Rawat,Kashif Zia Pdf

A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, the complexity of systems is increasing due to such models like the Internet of Things (IoT) and fog computing. Will complexity science, applying the principles of nature, be able to tackle the challenges posed by highly complex networked systems? Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question. It presents innovative, bio-inspired solutions for fog and edge computing and highlights the role of machine learning and informatics. Nature- or biological-inspired techniques are successful tools to understand and analyze a collective behavior. As this book demonstrates, algorithms, and mechanisms of self-organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature. The chapters look at ways of enhancingto enhance the performance of fog networks in real-world applications using nature-based optimization techniques. They discuss challenges and provide solutions to the concerns of security, privacy, and power consumption in cloud data center nodes and fog computing networks. The book also examines how: The existing fog and edge architecture is used to provide solutions to future challenges. A geographical information system (GIS) can be used with fog computing to help users in an urban region access prime healthcare. An optimization framework helps in cloud resource management. Fog computing can improve the quality, quantity, long-term viability, and cost-effectiveness in agricultural production. Virtualization can support fog computing, increase resources to be allocated, and be applied to different network layers. The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients.

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 : 40,5 Mb
Release : 2024-04-15
Category : Business & Economics
ISBN : 9798369320747

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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.

Applications of Intelligent Optimization in Biology and Medicine

Aboul-Ella Hassanien,Crina Grosan,Mohamed Fahmy Tolba
Applications of Intelligent Optimization in Biology and Medicine Book PDF

Author : Aboul-Ella Hassanien,Crina Grosan,Mohamed Fahmy Tolba
Publisher : Springer
Page : 307 pages
File Size : 52,5 Mb
Release : 2015-07-18
Category : Technology & Engineering
ISBN : 9783319212128

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Applications of Intelligent Optimization in Biology and Medicine by Aboul-Ella Hassanien,Crina Grosan,Mohamed Fahmy Tolba Pdf

This volume provides updated, in-depth material on the application of intelligent optimization in biology and medicine. The aim of the book is to present solutions to the challenges and problems facing biology and medicine applications. This Volume comprises of 13 chapters, including an overview chapter, providing an up-to-date and state-of-the research on the application of intelligent optimization for bioinformatics applications, DNA based Steganography, a modified Particle Swarm Optimization Algorithm for Solving Capacitated Maximal Covering Location Problem in Healthcare Systems, Optimization Methods for Medical Image Super Resolution Reconstruction and breast cancer classification. Moreover, some chapters that describe several bio-inspired approaches in MEDLINE Text Mining, DNA-Binding Proteins and Classes, Optimized Tumor Breast Cancer Classification using Combining Random Subspace and Static Classifiers Selection Paradigms, and Dental Image Registration. The book will be a useful compendium for a broad range of readers—from students of undergraduate to postgraduate levels and also for researchers, professionals, etc.—who wish to enrich their knowledge on Intelligent Optimization in Biology and Medicine and applications with one single book.

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 : 45,8 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110676112

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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

Bio-Inspired Intelligence for Smart Decision-Making

Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Bio Inspired Intelligence for Smart Decision Making Book PDF

Author : Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Publisher : IGI Global
Page : 355 pages
File Size : 48,9 Mb
Release : 2024-05-14
Category : Business & Economics
ISBN : 9798369352779

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Bio-Inspired Intelligence for Smart Decision-Making by Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram Pdf

In today's complex and fast-paced world, decision-making is critical to problem-solving across industries and academia. However, traditional optimization techniques often need help to cope with the challenges posed by dynamic and intricate environments. This limitation hampers decision-makers' ability to tackle complex problems and seize opportunities effectively. As such, there is a pressing need for innovative approaches that can enhance decision-making processes, enabling individuals and organizations to navigate uncertainty and achieve optimal outcomes. Bio-Inspired Intelligence for Smart Decision-Making offers a compelling solution to this challenge. By exploring the intersection of bio-inspired optimization techniques and decision-making, this book presents a fresh perspective that can revolutionize decisions. The book introduces readers to powerful bio-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies through a multidisciplinary lens that encompasses computer science, artificial intelligence, optimization, and decision science. These algorithms mimic natural systems' efficiency and adaptability, offering a robust framework for researchers, graduate students, and professionals who are addressing complex decision-making problems in diverse fields.

Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing

Simon James Fong,Richard C. Millham
Bio inspired Algorithms for Data Streaming and Visualization Big Data Management and Fog Computing Book PDF

Author : Simon James Fong,Richard C. Millham
Publisher : Springer Nature
Page : 228 pages
File Size : 41,8 Mb
Release : 2020-08-25
Category : Technology & Engineering
ISBN : 9789811566950

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Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing by Simon James Fong,Richard C. Millham Pdf

This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase such as data mining or business intelligence as many books focus on); effective demonstration of the effectiveness of a selected algorithm within a chapter against comparative algorithms using the experimental method. Another novel approach is a brief overview and evaluation of traditional algorithms, both sequential and parallel, for use in data mining, in order to provide an overview of existing algorithms in use. This overview complements a further chapter on bio-inspired algorithms for data mining to enable readers to make a more suitable choice of algorithm for data mining within a particular context. In all chapters, references for further reading are provided, and in selected chapters, the author also include ideas for future research.

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 : 41,7 Mb
Release : 2022-10-31
Category : Technology & Engineering
ISBN : 9789811963797

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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.

Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management

Hamou, Reda Mohamed
Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management Book PDF

Author : Hamou, Reda Mohamed
Publisher : IGI Global
Page : 429 pages
File Size : 47,7 Mb
Release : 2017-12-15
Category : Computers
ISBN : 9781522530053

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Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management by Hamou, Reda Mohamed Pdf

In the digital age, modern society is exposed to high volumes of multimedia information. In efforts to optimize this information, there are new and emerging methods of information retrieval and knowledge management leading to higher efficiency and a deeper understanding of this data. The Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management is a critical scholarly resource that examines bio-inspired classes that solve computer problems. Featuring coverage on a broad range of topics such as big data analytics, bioinformatics, and black hole optimization, this book is geared towards academicians, practitioners, and researchers seeking current research on the use of biomimicry in information and knowledge management.

Bio-inspired Neurocomputing

Akash Kumar Bhoi,Pradeep Kumar Mallick,Chuan-Ming Liu,Valentina E. Balas
Bio inspired Neurocomputing Book PDF

Author : Akash Kumar Bhoi,Pradeep Kumar Mallick,Chuan-Ming Liu,Valentina E. Balas
Publisher : Springer Nature
Page : 427 pages
File Size : 50,8 Mb
Release : 2020-07-21
Category : Technology & Engineering
ISBN : 9789811554957

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Bio-inspired Neurocomputing by Akash Kumar Bhoi,Pradeep Kumar Mallick,Chuan-Ming Liu,Valentina E. Balas Pdf

This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.

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 : 40,5 Mb
Release : 2023-12-29
Category : Medical
ISBN : 3031459512

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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.

Security, Privacy, and Forensics Issues in Big Data

Joshi, Ramesh C.,Gupta, Brij B.
Security Privacy and Forensics Issues in Big Data Book PDF

Author : Joshi, Ramesh C.,Gupta, Brij B.
Publisher : IGI Global
Page : 456 pages
File Size : 47,8 Mb
Release : 2019-08-30
Category : Computers
ISBN : 9781522597445

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Security, Privacy, and Forensics Issues in Big Data by Joshi, Ramesh C.,Gupta, Brij B. Pdf

With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.

Foundations of Computational Intelligence

Ajith Abraham,Aboul-Ella Hassanien,André Ponce de Leon F. de Carvalho
Foundations of Computational Intelligence Book PDF

Author : Ajith Abraham,Aboul-Ella Hassanien,André Ponce de Leon F. de Carvalho
Publisher : Springer
Page : 396 pages
File Size : 42,8 Mb
Release : 2009-04-30
Category : Technology & Engineering
ISBN : 9783642010880

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Foundations of Computational Intelligence by Ajith Abraham,Aboul-Ella Hassanien,André Ponce de Leon F. de Carvalho Pdf

Foundations of Computational Intelligence Volume 4: Bio-Inspired Data Mining Theoretical Foundations and Applications Recent advances in the computing and electronics technology, particularly in sensor devices, databases and distributed systems, are leading to an exponential growth in the amount of data stored in databases. It has been estimated that this amount doubles every 20 years. For some applications, this increase is even steeper. Databases storing DNA sequence, for example, are doubling their size every 10 months. This growth is occurring in several applications areas besides bioinformatics, like financial transactions, government data, environmental mo- toring, satellite and medical images, security data and web. As large organizations recognize the high value of data stored in their databases and the importance of their data collection to support decision-making, there is a clear demand for - phisticated Data Mining tools. Data mining tools play a key role in the extraction of useful knowledge from databases. They can be used either to confirm a parti- lar hypothesis or to automatically find patterns. In the second case, which is - lated to this book, the goal may be either to describe the main patterns present in dataset, what is known as descriptive Data Mining or to find patterns able to p- dict behaviour of specific attributes or features, known as predictive Data Mining. While the first goal is associated with tasks like clustering, summarization and association, the second is found in classification and regression problems.