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Artificial intelligence for cloud and edge computing
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Artificial intelligence for cloud and edge computingedited by Sanjay Misra ... [et al.].
其他作者:
Misra, Sanjay.
出版者:
Cham :Springer International Publishing :2022.
面頁冊數:
xiv, 350 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Artificial intelligence.
電子資源:
https://doi.org/10.1007/978-3-030-80821-1
ISBN:
9783030808211$q(electronic bk.)
Artificial intelligence for cloud and edge computing
Artificial intelligence for cloud and edge computing
[electronic resource] /edited by Sanjay Misra ... [et al.]. - Cham :Springer International Publishing :2022. - xiv, 350 p. :ill., digital ;24 cm. - Internet of things,2199-1081. - Internet of things..
Introduction -- Introduction about Artificial Intelligence (AI) and Cloud, Fog and Edge Computing -- Internet of Things based Cloud Architecture and Its Applications -- Big Data Analytics of Internet of Things based Cloud Systems -- Machine and Deep Learning Techniques for Internet of Things based Cloud Systems -- Computer Vision: Visualizing the Smart Era with Artificial Intelligence -- Security, Privacy and Trust issues in AI Based Cloud and IoT based Cloud Systems -- AI for Smart data storage in Cloud-based Internet of Things -- Blockchain Based Solutions for AI Based Cloud and IoT based Cloud Systems -- Security and information assurance for Big Data -- Content delivery networks, or schemes using AI on stored at clouds -- Trustworthy Machine Learning for IoT-based Cloud systems -- Authentication and Control: Detecting Cyber Attacks on Cloud Using AI -- Security Management and Security Operations using Artificial Intelligence for Cloud -- Digital Trust and Reputation using Artificial Intelligence for Cloud -- Improving Information Security and Awareness in Society 5.0 and Industry 4.0 using AI -- Open Challenges and New Horizons for IoTs based Cloud Applications and AI based Cloud Applications -- Artificial Intelligence: Hope for future or Hype by Intellectuals -- Real World's Case Studies -- Conclusion.
This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals. Presents fusion of cloud computing services and AI technology for bringing a significant change in the technology industry; Includes self-assessment problems for increasing knowledge of real world problems, i.e., how AI and cloud/edge computing can change business for the better; Provides innovative results of integrations of AI in other applications such as healthcare, finance, manufacturing, transportation, agriculture, etc.
ISBN: 9783030808211$q(electronic bk.)
Standard No.: 10.1007/978-3-030-80821-1doiSubjects--Topical Terms:
194058
Artificial intelligence.
LC Class. No.: Q335 / .A77 2022
Dewey Class. No.: 006.3
Artificial intelligence for cloud and edge computing
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Introduction -- Introduction about Artificial Intelligence (AI) and Cloud, Fog and Edge Computing -- Internet of Things based Cloud Architecture and Its Applications -- Big Data Analytics of Internet of Things based Cloud Systems -- Machine and Deep Learning Techniques for Internet of Things based Cloud Systems -- Computer Vision: Visualizing the Smart Era with Artificial Intelligence -- Security, Privacy and Trust issues in AI Based Cloud and IoT based Cloud Systems -- AI for Smart data storage in Cloud-based Internet of Things -- Blockchain Based Solutions for AI Based Cloud and IoT based Cloud Systems -- Security and information assurance for Big Data -- Content delivery networks, or schemes using AI on stored at clouds -- Trustworthy Machine Learning for IoT-based Cloud systems -- Authentication and Control: Detecting Cyber Attacks on Cloud Using AI -- Security Management and Security Operations using Artificial Intelligence for Cloud -- Digital Trust and Reputation using Artificial Intelligence for Cloud -- Improving Information Security and Awareness in Society 5.0 and Industry 4.0 using AI -- Open Challenges and New Horizons for IoTs based Cloud Applications and AI based Cloud Applications -- Artificial Intelligence: Hope for future or Hype by Intellectuals -- Real World's Case Studies -- Conclusion.
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This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals. Presents fusion of cloud computing services and AI technology for bringing a significant change in the technology industry; Includes self-assessment problems for increasing knowledge of real world problems, i.e., how AI and cloud/edge computing can change business for the better; Provides innovative results of integrations of AI in other applications such as healthcare, finance, manufacturing, transportation, agriculture, etc.
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