CMBEBIH 2017

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Author :
Publisher : Springer
ISBN 13 : 9811041660
Total Pages : 806 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis CMBEBIH 2017 by : Almir Badnjevic

Download or read book CMBEBIH 2017 written by Almir Badnjevic and published by Springer. This book was released on 2017-03-14 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the proceedings of the International Conference on Medical and Biological Engineering held from 16 to 18 March 2017 in Sarajevo, Bosnia and Herzegovina. Focusing on the theme of ‘Pursuing innovation. Shaping the future’, it highlights the latest advancements in Biomedical Engineering and also presents the latest findings, innovative solutions and emerging challenges in this field. Topics include: - Biomedical Signal Processing - Biomedical Imaging and Image Processing - Biosensors and Bioinstrumentation - Bio-Micro/Nano Technologies - Biomaterials - Biomechanics, Robotics and Minimally Invasive Surgery - Cardiovascular, Respiratory and Endocrine Systems Engineering - Neural and Rehabilitation Engineering - Molecular, Cellular and Tissue Engineering - Bioinformatics and Computational Biology - Clinical Engineering and Health Technology Assessment - Health Informatics, E-Health and Telemedicine - Biomedical Engineering Education - Pharmaceutical Engineering

CMBEBIH 2021

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Author :
Publisher : Springer Nature
ISBN 13 : 3030739090
Total Pages : 933 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis CMBEBIH 2021 by : Almir Badnjevic

Download or read book CMBEBIH 2021 written by Almir Badnjevic and published by Springer Nature. This book was released on 2021-05-31 with total page 933 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents cutting-edge research and developments in the field of medical and biological engineering. It gathers the proceedings of the International Conference on Medical and Biological Engineering, CMBEBIH 2021, held partly virtually, partly physically, on April 21–24, 2021, from and in Mostar, Bosnia and Herzegovina. Focusing on the goal to ‘Stay Focused’, contributions report on both basic and applied research in a wide range of related fields, such as biomedical signal processing, medical physics and imaging, biosensors and micro/nanotechnologies, biomaterials, biomechanics and robotics, cardiorespiratory, endocrine and neural systems engineering. Novel models, methods and technologies for bio- and health informatics, as well as applications of machine learning and AI in health care, and advances in genetic engineering are also highlighted. All in all, this book provides academics and professionals with novel, practical solutions to solve the current problems in biomedical research and applications, and a source of inspiration for improving medicine and health care in the future.

CMBEBIH 2019

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Author :
Publisher : Springer
ISBN 13 : 3030179710
Total Pages : 782 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis CMBEBIH 2019 by : Almir Badnjevic

Download or read book CMBEBIH 2019 written by Almir Badnjevic and published by Springer. This book was released on 2019-05-10 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers the proceedings of the International Conference on Medical and Biological Engineering, which was held from 16 to 18 May 2019 in Banja Luka, Bosnia and Herzegovina. Focusing on the goal to ‘Share the Vision’, it highlights the latest findings, innovative solutions and emerging challenges in the field of Biomedical Engineering. The book covers a wide range of topics, including: biomedical signal processing, medical physics, biomedical imaging and radiation protection, biosensors and bioinstrumentation, bio-micro/nano technologies, biomaterials, biomechanics, robotics and minimally invasive surgery, and cardiovascular, respiratory and endocrine systems engineering. Further topics include bioinformatics and computational biology, clinical engineering and health technology assessment, health informatics, e-health and telemedicine, artificial intelligence and machine learning in healthcare, as well as pharmaceutical and genetic engineering. Given its scope, the book provides academic researchers, clinical researchers and professionals alike with a timely reference guide to measures for improving the quality of life and healthcare.

World Congress on Medical Physics and Biomedical Engineering 2018

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Publisher : Springer
ISBN 13 : 9811090351
Total Pages : 894 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis World Congress on Medical Physics and Biomedical Engineering 2018 by : Lenka Lhotska

Download or read book World Congress on Medical Physics and Biomedical Engineering 2018 written by Lenka Lhotska and published by Springer. This book was released on 2018-05-29 with total page 894 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book (vol. 1) presents the proceedings of the IUPESM World Congress on Biomedical Engineering and Medical Physics, a triennially organized joint meeting of medical physicists, biomedical engineers and adjoining health care professionals. Besides the purely scientific and technological topics, the 2018 Congress will also focus on other aspects of professional involvement in health care, such as education and training, accreditation and certification, health technology assessment and patient safety. The IUPESM meeting is an important forum for medical physicists and biomedical engineers in medicine and healthcare learn and share knowledge, and discuss the latest research outcomes and technological advancements as well as new ideas in both medical physics and biomedical engineering field.

Inspection of Medical Devices

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Publisher : Springer Nature
ISBN 13 : 3031434447
Total Pages : 441 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Inspection of Medical Devices by : Almir Badnjević

Download or read book Inspection of Medical Devices written by Almir Badnjević and published by Springer Nature. This book was released on 2023-12-28 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive guide invites nations worldwide to embark on a transformative journey, implementing independent third-party verification systems that ensure medical devices comply with both international and national regulations. Prepare to be captivated as we delve into the intricate processes, unveil essential procedures, and illuminate the paramount importance of establishing traceability for medical device measurements. Imagine a world where medical devices undergo rigorous independent safety and performance verification, guaranteeing the utmost reliability for patient diagnoses and treatment. This book takes you on a compelling exploration of precisely that vision. Focusing on cutting-edge diagnostic and therapeutic devices, it captures the very essence of the latest international directives and regulations, ensuring you stay ahead of the curve. This new edition goes beyond the conventional, delving into the realms of innovation and progress. Unveiling in-depth maintenance regimes within healthcare institutions, we provide you with invaluable insights into post-market surveillance. As the world embraces the transformative potential of artificial intelligence, we pave the way for evidence-based management of medical device maintenance—a concept poised to reshape the healthcare landscape. Imagine a future where medical devices are seamlessly integrated into the legal metrology system, while fully operational national laboratories for medical device inspection set new standards of excellence. This book vividly illustrates how such a powerful union can elevate the reliability of medical devices in diagnosis and patient care. Brace yourself for a paradigm shift that not only enhances efficacy but also leads to significant cost reductions within your country's healthcare system. Join us on this extraordinary journey as we unveil the untapped potential of medical device inspection. With our innovative approach and unrivaled expertise, together we can revolutionize healthcare, transforming the lives of countless patients worldwide. Get ready to be inspired, informed, and empowered—welcome to the future of healthcare!

New Technologies, Development and Application IV

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Publisher : Springer Nature
ISBN 13 : 3030752755
Total Pages : 1233 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis New Technologies, Development and Application IV by : Isak Karabegović

Download or read book New Technologies, Development and Application IV written by Isak Karabegović and published by Springer Nature. This book was released on 2021-05-11 with total page 1233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features papers focusing on the implementation of new and future technologies, which were presented at the International Conference on New Technologies, Development, and Application, held at the Academy of Science and Arts of Bosnia and Herzegovina in Sarajevo on June 24–26, 2021. It covers a wide range of future technologies and technical disciplines, including complex systems such as Industry 4.0; patents in industry 4.0; robotics; mechatronics systems; automation; manufacturing; cyber-physical and autonomous systems; sensors; networks; control, energy, renewable energy sources; automotive and biological systems; vehicular networking and connected vehicles; effectiveness and logistics systems; smart grids; nonlinear systems; power, social and economic systems; education; and IoT. The book New Technologies, Development and Application III is oriented toward Fourth Industrial Revolution “Industry 4.0, ”implementation which improves many aspects of human life in all segments and leads to changes in business paradigms and production models. Further, new business methods are emerging and transforming production systems, transport, delivery, and consumption, which need to be monitored and implemented by every company involved in the global market.

Computational Intelligence in Pattern Recognition

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Author :
Publisher : Springer Nature
ISBN 13 : 9811625433
Total Pages : 756 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Intelligence in Pattern Recognition by : Asit Kumar Das

Download or read book Computational Intelligence in Pattern Recognition written by Asit Kumar Das and published by Springer Nature. This book was released on 2021-09-04 with total page 756 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021), held at the Institute of Engineering and Management, Kolkata, West Bengal, India, on 24 – 25 April 2021. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Nanobiotechnology in Bioformulations

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Publisher : Springer
ISBN 13 : 3030170616
Total Pages : 491 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Nanobiotechnology in Bioformulations by : Ram Prasad

Download or read book Nanobiotechnology in Bioformulations written by Ram Prasad and published by Springer. This book was released on 2019-07-04 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the recent shift of chemical fertilizers and pesticides to organic agriculture, the employment of microbes that perform significant beneficial functions for plants has been highlighted. This book presents timely discussion and coverage on the use of microbial formulations, which range from powdered or charcoal-based to solution and secondary metabolite-based bioformulations. Bioformulation development of biofertilizers and biopesticides coupled with the advantages of nanobiotechnology propose significant applications in the agricultural section including nanobiosensors, nanoherbicides, and smart transport systems for the regulated release of agrochemical. Moreover, the formulation of secondary metabolites against individual phytopathogens could be used irrespective of geographical positions with higher disease incidences. The prospective advantages and uses of nanobiotechnology generate tremendous interest, as it could augment production of agricultural produce while being cost-effective both energetically and economically. This bioformulation approach is incomparable to existing technology, as the bioformulation would explicitly target the particular pathogen without harming the natural microbiome of the ecosystem. Nanobiotechnology in Bioformulations covers the constraints associated with large-scale development and commercialization of bioinoculant formations. Furthermore, exclusive emphasis is be placed on next-generation efficient bioinoculants having secondary metabolite formulations with longer shelf life and advanced competence against several phytopathogens. Valuable chapters deal with bioformulation strategies that use divergent groups of the microbiome and include detailed diagrammatic and pictorial representation. This book will be highly beneficial for both experts and novices in the fields of microbial bioformulation, nanotechnology, and nano-microbiotechnology. It discusses the prevailing status and applications available for microbial researchers and scientists, agronomists, students, environmentalists, agriculturists, and agribusiness professionals, as well as to anyone devoted to sustaining the ecosystem.

Nanofood and Internet of Nano Things

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Publisher : Springer
ISBN 13 : 3030150542
Total Pages : 170 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Nanofood and Internet of Nano Things by : Mirjana Maksimović

Download or read book Nanofood and Internet of Nano Things written by Mirjana Maksimović and published by Springer. This book was released on 2019-03-25 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book assesses the current challenges and opportunities for the next generation of agriculture and food science. Examining the role of nanotechnology and the application of related tools and techniques to transform the future of food, it also discusses in detail nanotechnology in food production, processing and packaging, as well as the benefits of and concerns regarding nanofoods (nanotoxicity and food forensics). Considering the potential of IoT to revolutionize agriculture and the food industry by radically reducing costs and improving productivity and profits, the book highlights the necessity of integrating IoT and nanotechnology into the next generation of agriculture and food science. Further, it presents a detailed analysis of IoNT implementation, together with the goals that have to be met in order to achieve significant improvements in the agri-food sector. In addition it explores a range of challenges, risks, and concerns that have a direct or indirect impact on nanotechnology and IoNT implementation in agriculture and the food industry. In closing, it discusses the use of green nanotechnology and green IoNT in order to create smart, safe, and sustainable agriculture and healthy food.

Deep Learning for Biomedical Data Analysis

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Publisher : Springer Nature
ISBN 13 : 3030716767
Total Pages : 358 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Deep Learning for Biomedical Data Analysis by : Mourad Elloumi

Download or read book Deep Learning for Biomedical Data Analysis written by Mourad Elloumi and published by Springer Nature. This book was released on 2021-07-13 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first overview on Deep Learning (DL) for biomedical data analysis. It surveys the most recent techniques and approaches in this field, with both a broad coverage and enough depth to be of practical use to working professionals. This book offers enough fundamental and technical information on these techniques, approaches and the related problems without overcrowding the reader's head. It presents the results of the latest investigations in the field of DL for biomedical data analysis. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. They combine fundamental theory of Artificial Intelligence (AI), Machine Learning (ML) and DL with practical applications in Biology and Medicine. Certainly, the list of topics covered in this book is not exhaustive but these topics will shed light on the implications of the presented techniques and approaches on other topics in biomedical data analysis. The book finds a balance between theoretical and practical coverage of a wide range of issues in the field of biomedical data analysis, thanks to DL. The few published books on DL for biomedical data analysis either focus on specific topics or lack technical depth. The chapters presented in this book were selected for quality and relevance. The book also presents experiments that provide qualitative and quantitative overviews in the field of biomedical data analysis. The reader will require some familiarity with AI, ML and DL and will learn about techniques and approaches that deal with the most important and/or the newest topics encountered in the field of DL for biomedical data analysis. He/she will discover both the fundamentals behind DL techniques and approaches, and their applications on biomedical data. This book can also serve as a reference book for graduate courses in Bioinformatics, AI, ML and DL. The book aims not only at professional researchers and practitioners but also graduate students, senior undergraduate students and young researchers. This book will certainly show the way to new techniques and approaches to make new discoveries.

SPS2020

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Publisher : IOS Press
ISBN 13 : 1643681478
Total Pages : 706 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis SPS2020 by : K. Säfsten

Download or read book SPS2020 written by K. Säfsten and published by IOS Press. This book was released on 2020-12-24 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-intensive product realization implies embedded intelligence; meaning that if both theoretical and practical knowledge and understanding of a subject is integrated into the design and production processes of products, this will significantly increase added value. This book presents papers accepted for the 9th Swedish Production Symposium (SPS2020), hosted by the School of Engineering, Jönköping University, Sweden, and held online on 7 & 8 October 2020 because of restrictions due to the Corona virus pandemic. The subtitle of the conference was Knowledge Intensive Product Realization in Co-Operation for Future Sustainable Competitiveness. The book contains the 57 papers accepted for presentation at the conference, and these are divided into nine sections which reflect the topics covered: resource efficient production; flexible production; virtual production development; humans in production systems; circular production systems and maintenance; integrated product and production development; advanced and optimized components, materials and manufacturing; digitalization for smart products and services; and responsive and efficient operations and supply chains. In addition, the book presents five special sessions from the symposium: development of changeable and reconfigurable production systems; smart production system design and development; supply chain relocation; management of manufacturing digitalization; and additive manufacturing in the production system. The book will be of interest to all those working in the field of knowledge-intensive product realization.

Machine Learning and Deep Learning Techniques for Medical Science

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Publisher : CRC Press
ISBN 13 : 1000582523
Total Pages : 413 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Machine Learning and Deep Learning Techniques for Medical Science by : K. Gayathri Devi

Download or read book Machine Learning and Deep Learning Techniques for Medical Science written by K. Gayathri Devi and published by CRC Press. This book was released on 2022-05-11 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of machine learning is growing exponentially into every branch of business and science, including medical science. This book presents the integration of machine learning (ML) and deep learning (DL) algorithms that can be applied in the healthcare sector to reduce the time required by doctors, radiologists, and other medical professionals for analyzing, predicting, and diagnosing the conditions with accurate results. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis. The contributors explore the recent trends, innovations, challenges, and solutions, as well as case studies of the applications of ML and DL in intelligent system-based disease diagnosis. The chapters also highlight the basics and the need for applying mathematical aspects with reference to the development of new medical models. Authors also explore ML and DL in relation to artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, and pattern recognition approaches to functional magnetic resonance imaging images. This book is for students and researchers of computer science and engineering, electronics and communication engineering, and information technology; for biomedical engineering researchers, academicians, and educators; and for students and professionals in other areas of the healthcare sector. Presents key aspects in the development and the implementation of ML and DL approaches toward developing prediction tools, models, and improving medical diagnosis Discusses the recent trends, innovations, challenges, solutions, and applications of intelligent system-based disease diagnosis Examines DL theories, models, and tools to enhance health information systems Explores ML and DL in relation to AI prediction tools, discovery of drugs, neuroscience, and diagnosis in multiple imaging modalities Dr. K. Gayathri Devi is a Professor at the Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Tamil Nadu, India. Dr. Kishore Balasubramanian is an Assistant Professor (Senior Scale) at the Department of EEE at Dr. Mahalingam College of Engineering & Technology, Tamil Nadu, India. Dr. Le Anh Ngoc is a Director of Swinburne Innovation Space and Professor in Swinburne University of Technology (Vietnam).

Medical Big Data and Internet of Medical Things

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Publisher : CRC Press
ISBN 13 : 1351030361
Total Pages : 366 pages
Book Rating : 4.3/5 (51 download)

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Book Synopsis Medical Big Data and Internet of Medical Things by : Aboul Ella Hassanien

Download or read book Medical Big Data and Internet of Medical Things written by Aboul Ella Hassanien and published by CRC Press. This book was released on 2018-10-25 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.

Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing

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Author :
Publisher : IGI Global
ISBN 13 : 1799827267
Total Pages : 661 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing by : Karabegovi?, Isak

Download or read book Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing written by Karabegovi?, Isak and published by IGI Global. This book was released on 2020-03-27 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Industry 4.0, industrial productions are adjusted to complete smart automation, which means introducing self-automation methods, self-configuration, self-diagnosis of problems and removal, cognition, and intelligent decision making. This implementation of Industry 4.0 brings about a change in business paradigms and production models, and this will be reflected at all levels of the production process including supply chains and will involve all workers in the production process from managers to cyber-physical systems designers and customers as end-users. The Handbook of Research on Integrating Industry 4.0 in Business and Manufacturing is an essential reference source that explores the development and integration of Industry 4.0 by examining changes and innovations to manufacturing processes as well as its applications in different industrial areas. Featuring coverage on a wide range of topics such as cyber physical systems, integration criteria, and artificial intelligence, this book is ideally designed for mechanical engineers, electrical engineers, manufacturers, supply chain managers, logistics specialists, investors, managers, policymakers, production scientists, researchers, academicians, and students at the postgraduate level.

Deep Learning Approaches to Cloud Security

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Publisher : John Wiley & Sons
ISBN 13 : 1119760526
Total Pages : 308 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Deep Learning Approaches to Cloud Security by : Pramod Singh Rathore

Download or read book Deep Learning Approaches to Cloud Security written by Pramod Singh Rathore and published by John Wiley & Sons. This book was released on 2022-01-26 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEEP LEARNING APPROACHES TO CLOUD SECURITY Covering one of the most important subjects to our society today, cloud security, this editorial team delves into solutions taken from evolving deep learning approaches, solutions allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Deep learning is the fastest growing field in computer science. Deep learning algorithms and techniques are found to be useful in different areas like automatic machine translation, automatic handwriting generation, visual recognition, fraud detection, and detecting developmental delay in children. However, applying deep learning techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. This book provides state of the art approaches of deep learning in these areas, including areas of detection and prediction, as well as future framework development, building service systems and analytical aspects. In all these topics, deep learning approaches, such as artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms are used. This book is intended for dealing with modeling and performance prediction of the efficient cloud security systems, thereby bringing a newer dimension to this rapidly evolving field. This groundbreaking new volume presents these topics and trends of deep learning, bridging the research gap, and presenting solutions to the challenges facing the engineer or scientist every day in this area. Whether for the veteran engineer or the student, this is a must-have for any library. Deep Learning Approaches to Cloud Security: Is the first volume of its kind to go in-depth on the newest trends and innovations in cloud security through the use of deep learning approaches Covers these important new innovations, such as AI, data mining, and other evolving computing technologies in relation to cloud security Is a useful reference for the veteran computer scientist or engineer working in this area or an engineer new to the area, or a student in this area Discusses not just the practical applications of these technologies, but also the broader concepts and theory behind how these deep learning tools are vital not just to cloud security, but society as a whole Audience: Computer scientists, scientists and engineers working with information technology, design, network security, and manufacturing, researchers in computers, electronics, and electrical and network security, integrated domain, and data analytics, and students in these areas

Advances in Automation III

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Publisher : Springer Nature
ISBN 13 : 3030942023
Total Pages : 531 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Advances in Automation III by : Andrey A. Radionov

Download or read book Advances in Automation III written by Andrey A. Radionov and published by Springer Nature. This book was released on 2022-01-18 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on innovative research and developments in automation. Spanning a wide range of disciplines, including communication engineering, power engineering, control engineering, instrumentation, signal processing and cybersecurity, it focuses on methods and findings aimed at improving the control and monitoring of industrial and manufacturing processes as well as safety. Based on the International Russian Automation Conference, held on September 5–11, 2021, in Sochi, Russia, the book provides academics and professionals with a timely overview of and extensive information on the state of the art in the field of automation and control systems, and fosters new ideas and collaborations between groups in different countries.

Intelligent Healthcare Systems

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Author :
Publisher : CRC Press
ISBN 13 : 1000954323
Total Pages : 399 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Intelligent Healthcare Systems by : Vania V. Estrela

Download or read book Intelligent Healthcare Systems written by Vania V. Estrela and published by CRC Press. This book was released on 2023-08-04 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers’ issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems’ design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.