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检索条件"丛书名=Advances in Learning Analytics for Intelligent Cloud-IoT Systems"

共 8 条记录，以下是1-10 订阅

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The Internet of Medical Things (IoMT): Healthcare Transformation 1

引用

丛书名： advances in learning analytics for intelligent cloud-iot systems

2022年

作者： R.J. Hemalatha D. Akila D. Balaganesh Anand Paul

ISBN: (数字)9781119769200

ISBN: (纸本)9781119768838

INTERNET OF MEDICAL THINGS (IOMT) Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records. With their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses — and they are poised to evolve the future of care. In this book, the authors explore the potential applications of a wave of sensor-based tools—including wearables and stand-alone devices for remote patient monitoring—and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart. This book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.

关键词： Artificial Intelligence

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Smart Healthcare System Design: Security and Privacy Aspects 1

引用

丛书名： advances in learning analytics for intelligent cloud-iot systems

2021年

作者： Islam

ISBN: (数字)9781119792239;9781119792246

ISBN: (纸本)9781119791683

SMART HEALTHCARE SYSTEM DESIGN This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems. The Internet-of-Things (iot) has emerged as a powerful and promising technology, and though it has significant technological, social, and economic impacts, it also poses new security and privacy challenges. Compared with the traditional internet, the iot has various embedded devices, mobile devices, a server, and the cloud, with different capabilities to support multiple services. The pervasiveness of these devices represents a huge attack surface and, since the iot connects cyberspace to physical space, known as a cyber-physical system, iot attacks not only have an impact on information systems, but also affect physical infrastructure, the environment, and even human security. The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art iot solutions in healthcare applications, and to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions. The 14 separate chapters address various aspects of the iot system, such as design challenges, theory, various protocols, implementation issues, as well as several case studies. Smart Healthcare System Design covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus is on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how iot architectures are designed and introduced into various situations. Audience: Researchers and industry engineers in information tec

关键词： Artificial Intelligence

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Machine learning Techniques and analytics for cloud Security 1

引用

丛书名： advances in learning analytics for intelligent cloud-iot systems

2021年

作者： Rajdeep Chakraborty Anupam Ghosh Jyotsna Kumar Mandal

ISBN: (数字)9781119764113

ISBN: (纸本)9781119762256

MACHINE learning TECHNIQUES AND analytics FOR cloud SECURITY This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine learning Techniques and analytics for cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Audience Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.

关键词： Artificial Intelligence

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Smart Sensors for Industry 4.0: Fundamentals, Fabrication and Iiot Applications 1st

引用

丛书名： advances in learning analytics for intelligent cloud-iot systems

2024年

作者： Brojo Kishore Mishra Sandipan Mallik Dac-Nhuong Le

Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world Iiot applications, equipping you wit... 详细信息

ISBN: (数字)9781394214723

ISBN: (纸本)9781394213566

关键词： Sensors, Instrumentation \u0026 Measurement

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Industrial Internet of Things (Iiot): intelligent analytics for Predictive Maintenance

引用

丛书名： advances in learning analytics for intelligent cloud-iot systems

2022年

作者： edited by R. Anandan Suseendran Gopalakrishnan Souvik Pal and Noor Zaman.

ISBN: (数字)9781119769002;9781119769019

ISBN: (纸本)9781119768777

INDUSTRIAL INTERNET OF THINGS (Iiot) This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale. Since the internet of things (iot) dominates all sectors of technology, from home to industry, automation through iot devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting iot industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control. The 15 chapters in the book showcase industrial automation through the iot by including case studies in the areas of the Iiot, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines. The volume will help industry leaders by

Advancing hands-on experience working with industrial architecture
Demonstrating the potential of cloud-based Industrial iot platforms, analytics, and protocols
Putting forward business models revitalizing the workforce with Industry 4.0.

Audience Researchers and scholars in industrial engineering and manufacturing, artificial intelligence, cyber-physical systems, robotics, safety engineering, safety-critical systems, and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities, and smart healthcare.

关键词： Industrial applications. Internet of things

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Machine learning Techniques and analytics for cloud Security

引用

丛书名： advances in learning analytics for intelligent cloud-iot systems

2022年

作者： edited by Rajdeep Chakraborty Anupam Ghosh and Jyotsna Kumar Mandal.

ISBN: (数字)9781119764090;9781119764106

ISBN: (纸本)9781119762256

关键词： cloud computing Computer networks Machine learning. Security measures. Security measures.

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Digital Cities Roadmap: iot-Based Architecture and Sustainable Buildings

引用

丛书名： advances in learning analytics for intelligent cloud-iot systems

2021年

作者： Solanki

ISBN: (数字)9781119792055;9781119792062

ISBN: (纸本)9781119791591

DIGITAL CITIES ROADMAP This book details applications of technology to efficient digital city infrastructure and its planning, including smart *** urbanization, demographic changes, environmental changes, and new technologies are changing the views of urban leaders on sustainability, as well as creating and providing public services to tackle these new dynamics. Sustainable development is an objective by which the processes of planning, implementing projects, and development is aimed at meeting the needs of modern communities without compromising the potential of future generations. The advent of Smart Cities is the answer to these *** Cities Roadmap provides an in-depth analysis of design technologies that lay a solid foundation for sustainable buildings. The book also highlights smart automation technologies that help save energy, as well as various performance indicators needed to make construction easier. The book aims to create a strong research community, to have a deep understanding and the latest knowledge in the field of energy and comfort, to offer solid ideas in the nearby future for sustainable and resilient buildings. These buildings will help the city grow as a smart city. The smart city has also a focus on low energy consumption, renewable energy, and a small carbon *** information provided in this book will be of value to researchers, academicians and industry professionals interested in iot-based architecture and sustainable buildings, energy efficiency and various tools and methods used to develop green technologies for construction in smart cities.

关键词： Artificial Intelligence

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Agricultural Informatics: Automation Using the iot and Machine learning 1

引用

丛书名： advances in learning analytics for intelligent cloud-iot systems

2021年

作者： Choudhury

ISBN: (数字)9781119769217;9781119769224

ISBN: (纸本)9781119768845

Despite the increasing population (the Food and Agriculture Organization of the United Nations estimates 70% more food will be needed in 2050 than was produced in 2006), issues related to food production have yet to be completely addressed. In recent years, Internet of Things technology has begun to be used to address different industrial and technical challenges to meet this growing need. These Agro-iot tools boost productivity and minimize the pitfalls of traditional farming, which is the backbone of the world"s economy. Aided by the iot, continuous monitoring of fields provides useful and critical information to farmers, ushering in a new era in farming. The iot can be used as a tool to combat climate change through greenhouse automation; monitor and manage water, soil and crops; increase productivity; control insecticides/pesticides; detect plant diseases; increase the rate of crop sales; cattle monitoring etc. Agricultural Informatics: Automation Using the iot and Machine learning focuses on all these topics, including a few case studies, and they give a clear indication as to why these techniques should now be widely adopted by the agriculture and farming industries.

关键词： Artificial Intelligence

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