Internet of Things in Biomedical Engineering

Internet of Things in Biomedical Engineering
Author: Valentina E. Balas,Le Hoang Son,Sudan Jha,Manju Khari,Raghvendra Kumar
Publsiher: Academic Press
Total Pages: 379
Release: 2019-06-14
ISBN 10: 0128173572
ISBN 13: 9780128173572
Language: EN, FR, DE, ES & NL

Internet of Things in Biomedical Engineering Book Review:

Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining. This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic. Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications Discusses big data and data mining in healthcare and other IoT based biomedical data analysis Includes discussions on a variety of IoT applications and medical information systems Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT

A Handbook of Internet of Things in Biomedical and Cyber Physical System

A Handbook of Internet of Things in Biomedical and Cyber Physical System
Author: Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar,Md. Atiqur Rahman Ahad
Publsiher: Springer
Total Pages: 314
Release: 2019-07-16
ISBN 10: 3030239837
ISBN 13: 9783030239831
Language: EN, FR, DE, ES & NL

A Handbook of Internet of Things in Biomedical and Cyber Physical System Book Review:

This book presents a compilation of state-of-the-art work on biomedical and cyber-physical systems in connection with the Internet of Things, and successfully blends theory and practice. The book covers the studies belonging to Biomedical and Cyber-physical System, so it is a unique effort by the research experts, who are divulging in the domain deeply. The book is very easy for the audience, who are doing study in the Biomedical and Cyber-physical System; it helps to read some real-time scenarios from where the reader in general gets many sparking ideas to convert it into the research problems in their studies. This book is of use to solve down the problems of graduate, postgraduate, doctoral industry executives, who are involving in the cutting-edge work of Internet of Things with Biomedical or Cyber-physical System, with the help of real-time solutions, given in the formation of chapters by subject’s experts. The key uses of this book are in the area of Internet of Things in connection with Cyber-physical System as well as Biomedical domain.

Further Advances in Internet of Things in Biomedical and Cyber Physical Systems

Further Advances in Internet of Things in Biomedical and Cyber Physical Systems
Author: Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar
Publsiher: Springer Nature
Total Pages: 403
Release: 2021-03-22
ISBN 10: 3030578356
ISBN 13: 9783030578350
Language: EN, FR, DE, ES & NL

Further Advances in Internet of Things in Biomedical and Cyber Physical Systems Book Review:

This book covers the further advances in the field of the Internet of things, biomedical engineering and cyber physical system with recent applications. It is covering the various real-time, offline applications, and case studies in the field of recent technologies and case studies of the Internet of things, biomedical engineering and cyber physical system with recent technology trends. In the twenty-first century, the automation and management of data are vital, in that, the role of the Internet of things proving the potential support. The book is consisting the excellent work of researchers and academician who are working in the domain of emerging technologies, e.g., Internet of things, biomedical engineering and cyber physical system. The chapters cover the major achievements by solving and suggesting many unsolved problems, which am sure to be going to prove a strong support in industries towards automation goal using of the Internet of things, biomedical engineering and cyber physical system.

Handbook of Artificial Intelligence in Biomedical Engineering

Handbook of Artificial Intelligence in Biomedical Engineering
Author: Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G.S. Mahalakshmi
Publsiher: CRC Press
Total Pages: 538
Release: 2021-03-30
ISBN 10: 100006767X
ISBN 13: 9781000067675
Language: EN, FR, DE, ES & NL

Handbook of Artificial Intelligence in Biomedical Engineering Book Review:

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

Healthcare Paradigms in the Internet of Things Ecosystem

Healthcare Paradigms in the Internet of Things Ecosystem
Author: Valentina Emilia Balas,Souvik Pal
Publsiher: Academic Press
Total Pages: 410
Release: 2020-11-07
ISBN 10: 0128199202
ISBN 13: 9780128199206
Language: EN, FR, DE, ES & NL

Healthcare Paradigms in the Internet of Things Ecosystem Book Review:

Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems. Presents the complete functional framework workflow in IoT-enabled healthcare technologies Explains concepts of location-aware protocols and decisive mobility in IoT healthcare Provides complete coverage of intelligent data processing and wearable sensor technologies in IoT-enabled healthcare Explores the Human Machine Interface and its implications in patient-care systems in IoT healthcare Explores security and privacy issues and challenges related to data-intensive technologies in healthcare-based Internet of Things

Intelligent Internet of Things

Intelligent Internet of Things
Author: Farshad Firouzi,Krishnendu Chakrabarty,Sani Nassif
Publsiher: Springer Nature
Total Pages: 647
Release: 2020-01-21
ISBN 10: 3030303675
ISBN 13: 9783030303679
Language: EN, FR, DE, ES & NL

Intelligent Internet of Things Book Review:

This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.

Handbook of Research on Blockchain Technology

Handbook of Research on Blockchain Technology
Author: Saravanan Krishnan,Valentina E. Balas,Julie Golden,Y. Harold Robinson,S. Balaji,Raghvendra Kumar
Publsiher: Academic Press
Total Pages: 476
Release: 2020-02-04
ISBN 10: 012820415X
ISBN 13: 9780128204153
Language: EN, FR, DE, ES & NL

Handbook of Research on Blockchain Technology Book Review:

Handbook of Research on Blockchain Technology presents the latest information on the adaptation and implementation of Blockchain technologies in real world business, scientific, healthcare and biomedical applications. The book's editors present the rapid advancements in existing business models by applying Blockchain techniques. Novel architectural solutions in the deployment of Blockchain comprise the core aspects of this book. Several use cases with IoT, biomedical engineering, and smart cities are also incorporated. As Blockchain is a relatively new technology that exploits decentralized networks and is used in many sectors for reliable, cost-effective and rapid business transactions, this book is a welcomed addition on existing knowledge. Financial services, retail, insurance, logistics, supply chain, public sectors and biomedical industries are now investing in Blockchain research and technologies for their business growth. Blockchain prevents double spending in financial transactions without the need of a trusted authority or central server. It is a decentralized ledger platform that facilitates verifiable transactions between parties in a secure and smart way. Presents the evolution of blockchain, from fundamental theories, to present forms Explains the concepts of blockchain related to cloud/edge computing, smart healthcare, smart cities and Internet of Things (IoT) Provides complete coverage of the various tools, platforms and techniques used in blockchain Explores smart contract tools and consensus algorithms Covers a variety of applications with real world case studies in areas such as biomedical engineering, supply chain management, and tracking of goods and delivery

Advances in Biomedical Engineering and Technology

Advances in Biomedical Engineering and Technology
Author: Albert A. Rizvanov
Publsiher: Springer Nature
Total Pages: 329
Release: 2021
ISBN 10: 9811563292
ISBN 13: 9789811563294
Language: EN, FR, DE, ES & NL

Advances in Biomedical Engineering and Technology Book Review:

Terahertz Biomedical and Healthcare Technologies

Terahertz Biomedical and Healthcare Technologies
Author: Amit Banerjee,Basabi Chakraborty,Hiroshi Inokawa,Jitendra Nath Roy
Publsiher: Elsevier
Total Pages: 262
Release: 2020-08-11
ISBN 10: 0128185570
ISBN 13: 9780128185575
Language: EN, FR, DE, ES & NL

Terahertz Biomedical and Healthcare Technologies Book Review:

Terahertz Biomedical and Healthcare Technologies: Materials to Devices reviews emerging advances in terahertz biomedical and healthcare technologies, including advances in fundamental materials science research, device design and fabrication, applications, and challenges and opportunities for improved performance. In addition, the improvement of materials, optical elements, and measuring techniques are also explored. Other sections cover the design and development of wide bandgap semiconductors for terahertz device applications, including their physics, device modeling, characterization and fabrication concepts. Finally, the book touches on potential defense, medical imaging, internet of things, and the machine learning applications of terahertz technologies. Reviews the latest advances in the fundamental and applied research of terahertz technologies, covering key topics in materials science, biomedical engineering and healthcare informatics Includes applications of terahertz technologies in medical imaging, diagnosis and treatment Provides readers with an understanding of the machine learning, pattern recognition, and data analytics research utilized to enhance the effectiveness of terahertz technologies

Handbook of Deep Learning in Biomedical Engineering

Handbook of Deep Learning in Biomedical Engineering
Author: Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
Publsiher: Academic Press
Total Pages: 320
Release: 2020-11-23
ISBN 10: 0128230479
ISBN 13: 9780128230473
Language: EN, FR, DE, ES & NL

Handbook of Deep Learning in Biomedical Engineering Book Review:

Deep learning (DL) is a method of machine learning, running over artificial neural networks, that uses multiple layers to extract high-level features from large amounts of raw data. DL methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of DL and its applications in the field of biomedical engineering. DL has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. DL provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and artificial intelligence techniques such as DL and convolutional neural networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use DL include computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, single photon emission computed tomography (SPECT), positron emission tomography (PET), magnetic particle imaging, electroencephalography/magnetoencephalography (EE/MEG), optical microscopy and tomography, photoacoustic tomography, electron tomography, and atomic force microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of DL applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer’s, attention deficit hyperactivity disorder (ADHD), and autism spectrum disorder (ASD), tumor prediction, and translational multimodal imaging analysis. Presents a comprehensive handbook of the biomedical engineering applications of DL, including computational neuroscience, neuroimaging, time series data such as MRI, functional MRI, CT, EEG, MEG, and data fusion of biomedical imaging data from disparate sources, such as X-Ray/CT. Helps readers understand key concepts in DL applications for biomedical engineering and health care, including manifold learning, classification, clustering, and regression in neuroimaging data analysis. Provides readers with key DL development techniques such as creation of algorithms and application of DL through artificial neural networks and convolutional neural networks. Includes coverage of key application areas of DL such as early diagnosis of specific diseases such as Alzheimer’s, ADHD, and ASD, and tumor prediction through MRI and translational multimodality imaging and biomedical applications such as detection, diagnostic analysis, quantitative measurements, and image guidance of ultrasonography. ~

Nature Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Nature Inspired Intelligent Techniques for Solving Biomedical Engineering Problems
Author: Kose, Utku,Guraksin, Gur Emre,Deperlioglu, Omer
Publsiher: IGI Global
Total Pages: 381
Release: 2018-03-31
ISBN 10: 1522547703
ISBN 13: 9781522547709
Language: EN, FR, DE, ES & NL

Nature Inspired Intelligent Techniques for Solving Biomedical Engineering Problems Book Review:

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.

Intelligent IoT Systems in Personalized Health Care

Intelligent IoT Systems in Personalized Health Care
Author: Arun Kumar Sangaiah,Subhas Chandra Mukhopadhyay
Publsiher: Academic Press
Total Pages: 360
Release: 2020-12-01
ISBN 10: 0128232048
ISBN 13: 9780128232040
Language: EN, FR, DE, ES & NL

Intelligent IoT Systems in Personalized Health Care Book Review:

Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications. The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health. Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT Illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems Presents concepts and technologies successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data

Wearable and Implantable Medical Devices

Wearable and Implantable Medical Devices
Author: Nilanjan Dey,Amira S. Ashour,Simon James Fong,Chintan Bhatt
Publsiher: Academic Press
Total Pages: 280
Release: 2019-09-06
ISBN 10: 0128156376
ISBN 13: 9780128156377
Language: EN, FR, DE, ES & NL

Wearable and Implantable Medical Devices Book Review:

Wearable and Implantable Medical Devices: Applications and Challenges, Fourth Edition highlights the new aspects of wearable and implanted sensors technology in the healthcare sector and monitoring systems. The book's contributions include several interdisciplinary domains, such as wearable sensors, implanted sensors devices, Internet-of-Things (IoT), security, real-time medical healthcare monitoring, WIBSN design and data management, encryption, and decision-support systems. Contributions emphasize several topics, including real-world applications and the design and implementation of wearable devices. This book demonstrates that this new field has a brilliant future in applied healthcare research and in healthcare monitoring systems. Includes comprehensive information on wearable and implanted device technology, wearable and implanted sensors design, WIBSN requirements, WIBSN in monitoring systems and security concepts Highlights machine learning and computing in healthcare monitoring systems based on WIBSN Includes a multidisciplinary approach to different healthcare applications and their associated challenges based on wearable and implanted technologies

Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare
Author: Kun Chang Lee,Sanjiban Sekhar Roy,Pijush Samui,Vijay Kumar
Publsiher: Academic Press
Total Pages: 292
Release: 2020-10-23
ISBN 10: 0128193158
ISBN 13: 9780128193150
Language: EN, FR, DE, ES & NL

Data Analytics in Biomedical Engineering and Healthcare Book Review:

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. Examines the development and application of data analytics applications in biomedical data Presents innovative classification and regression models for predicting various diseases Discusses genome structure prediction using predictive modeling Shows readers how to develop clinical decision support systems Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks

Internet of Things and Personalized Healthcare Systems

Internet of Things and Personalized Healthcare Systems
Author: P. Venkata Krishna,Sasikumar Gurumoorthy,Mohammad S. Obaidat
Publsiher: Springer
Total Pages: 132
Release: 2018-11-02
ISBN 10: 9811308667
ISBN 13: 9789811308666
Language: EN, FR, DE, ES & NL

Internet of Things and Personalized Healthcare Systems Book Review:

This book highlights the issues and challenges in personalised healthcare systems. The individual chapters address different aspects of such systems, including the novel Internet of Things (IoT) system architectures in healthcare and emerging e-health based IoT applications. Moreover, the book investigates the impact of cutting-edge innovations on the IoT.

Real Time Data Analytics for Large Scale Sensor Data

Real Time Data Analytics for Large Scale Sensor Data
Author: Himansu Das,Nilanjan Dey,Valentina Emilia Balas
Publsiher: Academic Press
Total Pages: 298
Release: 2019-08-31
ISBN 10: 0128182423
ISBN 13: 9780128182420
Language: EN, FR, DE, ES & NL

Real Time Data Analytics for Large Scale Sensor Data Book Review:

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more. Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments

Online Engineering Internet of Things

Online Engineering   Internet of Things
Author: Michael E. Auer,Danilo G. Zutin
Publsiher: Springer
Total Pages: 1062
Release: 2017-09-14
ISBN 10: 3319643525
ISBN 13: 9783319643526
Language: EN, FR, DE, ES & NL

Online Engineering Internet of Things Book Review:

This book discusses online engineering and virtual instrumentation, typical working areas for today’s engineers and inseparably connected with areas such as Internet of Things, cyber-physical systems, collaborative networks and grids, cyber cloud technologies, and service architectures, to name just a few. It presents the outcomes of the 14th International Conference on Remote Engineering and Virtual Instrumentation (REV2017), held at Columbia University in New York from 15 to 17 March 2017. The conference addressed fundamentals, applications and experiences in the field of online engineering and virtual instrumentation in the light of growing interest in and need for teleworking, remote services and collaborative working environments as a result of the globalization of education. The book also discusses guidelines for education in university-level courses for these topics.

Internet of Things and Big Data Applications

Internet of Things and Big Data Applications
Author: Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar
Publsiher: Springer Nature
Total Pages: 270
Release: 2020-02-24
ISBN 10: 3030391191
ISBN 13: 9783030391195
Language: EN, FR, DE, ES & NL

Internet of Things and Big Data Applications Book Review:

This book provides essential future directions for IoT and Big Data research. Thanks to rapid advances in sensors and wireless technology, Internet of Things (IoT)-related applications are attracting more and more attention. As more devices are connected, they become potential components for smart applications. Thus, there is a new global interest in these applications in various domains such as health, agriculture, energy, security and retail. The main objective of this book is to reflect the multifaceted nature of IoT and Big Data in a single source. Accordingly, each chapter addresses a specific domain that is now being significantly impacted by the spread of soft computing

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems
Author: Dinesh Peter,Amir H Alavi,Bahman Javadi,Steven L. Fernandes
Publsiher: Academic Press
Total Pages: 202
Release: 2020-03-14
ISBN 10: 0128166096
ISBN 13: 9780128166093
Language: EN, FR, DE, ES & NL

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems Book Review:

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems discusses the recent, rapid development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing devices are widely distributed and huge amounts of dynamic real-time data are collected and processed. Efficient surveillance tracking systems in the Big Data era require the capability of quickly abstracting useful information from the increasing amounts of data. Real-time information fusion is imperative and part of the challenge to mission critical surveillance tasks for various applications. This book presents all of these concepts, with a goal of creating automated IT systems that are capable of resolving problems without demanding human aid. Examines the current state of surveillance tracking systems, cognitive cloud architecture for resolving critical issues in surveillance tracking systems, and research opportunities in cognitive computing for surveillance tracking systems Discusses topics including cognitive computing architectures and approaches, cognitive computing and neural networks, complex analytics and machine learning, design of a symbiotic agent for recognizing real space in ubiquitous environments, and more Covers supervised regression and classification methods, clustering and dimensionality reduction methods, model development for machine learning applications, intelligent machines and deep learning networks includes coverage of cognitive computing models for scalable environments, privacy and security aspects of surveillance tracking systems, strategies and experiences in cloud architecture and service platform design

Advances in Biomedical Engineering and Technology

Advances in Biomedical Engineering and Technology
Author: Albert A. Rizvanov
Publsiher: Springer Nature
Total Pages: 329
Release: 2021
ISBN 10: 9811563292
ISBN 13: 9789811563294
Language: EN, FR, DE, ES & NL

Advances in Biomedical Engineering and Technology Book Review: