Advanced Machine Learning Approaches In Cancer Prognosis
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Advanced Machine Learning Approaches In Cancer Prognosis
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Author : Janmenjoy Nayak
language : en
Publisher: Springer Nature
Release Date : 2021-05-29
Advanced Machine Learning Approaches In Cancer Prognosis written by Janmenjoy Nayak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-29 with Technology & Engineering categories.
This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.
Advanced Machine Learning Approaches In Cancer Prognosis
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Author : Janmenjoy Nayak
language : en
Publisher:
Release Date : 2021
Advanced Machine Learning Approaches In Cancer Prognosis written by Janmenjoy Nayak and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed. .
Intelligent Interactive Multimedia Systems For E Healthcare Applications
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Author : Amit Kumar Tyagi
language : en
Publisher: Springer Nature
Release Date : 2021-11-15
Intelligent Interactive Multimedia Systems For E Healthcare Applications written by Amit Kumar Tyagi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-15 with Technology & Engineering categories.
This book includes high-quality research on various aspects of intelligent interactive multimedia technologies in healthcare services. The topics covered in the book focus on state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies in healthcare. The volume provides insights into smart healthcare service demands. It presents all information about multimedia uses in e-healthcare applications. The book also includes case studies and self-assessment problems for readers and future researchers. This book proves to be a valuable resource to know how AI can be an alternative tool for automated and intelligent analytics for e-healthcare applications.
12th International Conference On Information Systems And Advanced Technologies Icisat 2022
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Author : Mohamed Ridda Laouar
language : en
Publisher: Springer Nature
Release Date : 2023-02-04
12th International Conference On Information Systems And Advanced Technologies Icisat 2022 written by Mohamed Ridda Laouar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-04 with Technology & Engineering categories.
The ICISAT’2022 conference provided a forum for research and developments in the field of information systems and advanced technologies and new trends in developing information systems organizational aspects of their development and intelligent aspects of the final product. The aim of the ICIS1T’2022 is to report progress and development of methodologies, technologies, planning and implementation, tools, and standards in information systems, technologies, and sciences. ICISAT’2022 aims at addressing issues related to the intelligent information, data science, and decision support system, from multidisciplinary perspectives and to discuss the research, teaching, and professional practice in the field. The book of ICISAT’2022 includes selected papers from the 12th International Conference on Information Systems and Advanced Technologies “ICISAT’2022”, organized online during August 26–27, 2022. In this book, researchers, professional software, and systems engineers from around the world addressed intelligent information, data science, and decision support system for the conference. The ideas and practical solutions described in the book are the outcome of dedicated research by academics and practitioners aiming to advance theory and practice in this research domain. The list of topics is in all the areas of modern intelligent information systems and technologies such as neural networks, evolutionary computing, adaptive systems, pervasive system, ubiquitous system, E-learning and teaching, knowledge-based paradigms, learning paradigms, intelligent data analysis, intelligent decision making and support system, intelligent network security, web intelligence, deep learning, natural language processing, image processing, general machine learning, and unsupervised learning.
Intelligent And Cloud Computing
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Author : Debahuti Mishra
language : en
Publisher: Springer Nature
Release Date : 2022-04-22
Intelligent And Cloud Computing written by Debahuti Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-22 with Technology & Engineering categories.
This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2021), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, during October 22–23, 2021. The book includes contributions on system and network design that can support existing and future applications and services. It covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.
Advances In Computational Collective Intelligence
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Author : Costin Bădică
language : en
Publisher: Springer Nature
Release Date : 2022-09-21
Advances In Computational Collective Intelligence written by Costin Bădică and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-21 with Computers categories.
This book constitutes refereed proceedings of the 14th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2022, held in Hammamet, Tunisia, in September 2022. The 43 full papers and 15 short papers were thoroughly reviewed and selected from 421 submissions. The papers are grouped in topical sections on collective intelligence and collective decision-making; natural language processing; deep learning; computational intelligence for multimedia understanding; computational intelligence in medical applications; applications for industry 4.0; experience enhanced intelligence to IoT and sensors; cooperative strategies for decision making and optimization; machine learning methods.
Internet Of Things Based Machine Learning In Healthcare
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Author : Prasenjit Dey
language : en
Publisher: CRC Press
Release Date : 2024-06-10
Internet Of Things Based Machine Learning In Healthcare written by Prasenjit Dey and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-10 with Computers categories.
The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems. Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services Discusses unsupervised genetic algorithm-based automatic heart disease prediction Covers Internet of Things–based hardware mechanisms and machine learning algorithms to predict the stress level of patients The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.
Ambient Intelligence In Health Care
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Author : Tripti Swarnkar
language : en
Publisher: Springer Nature
Release Date : 2022-11-22
Ambient Intelligence In Health Care written by Tripti Swarnkar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-22 with Computers categories.
The book is a collection of research papers presented at the First International Conference on International Conference on Ambient Intelligence in Health Care (ICAIHC 2021) organized by Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University) University, Bhubaneswar, India, during April 15–16, 2022. It includes papers in the research area of e-health care, telemedicine, other medical technologies, life support systems, fast detection and diagnoses, developed technologies and innovative solutions, bioinformatics, and solutions for monitoring smart intelligent systems in health care.
Society 5 0 And The Future Of Emerging Computational Technologies
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Author : Neeraj Mohan
language : en
Publisher: CRC Press
Release Date : 2022-06-07
Society 5 0 And The Future Of Emerging Computational Technologies written by Neeraj Mohan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-07 with Computers categories.
This book discusses the technological aspects for the implementation of Society 5.0. The foundation and recent advances of emerging technologies such as artificial intelligence, data science, Internet of Things, and Big Data for the realization of Society 5.0 are covered. Practical solutions to existing problems, examples, and case studies are also offered. Society 5.0 and the Future of Emerging Computational Technologies: Practical Solutions, Examples, and Case Studies discusses technologies such as machine learning, artificial intelligence, and Internet of Things for the implementation of Society 5.0. It offers a firm foundation and understanding of the recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management. Applications and implementations are highlighted along with the correlation between technologies. Examples and case studies are presented throughout the book to augment text. This book can be used by research scholars in the engineering domain who wish to gain knowledge and contribute towards a modern and secure future society. The book will also be useful as a reference at universities for postgraduate students who are interested in technological advancements.
Nature Inspired Optimization Methodologies In Biomedical And Healthcare
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Author : Janmenjoy Nayak
language : en
Publisher: Springer Nature
Release Date : 2022-11-14
Nature Inspired Optimization Methodologies In Biomedical And Healthcare written by Janmenjoy Nayak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-14 with Technology & Engineering categories.
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.