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Edge Computing – EDGE 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Edge Computing – EDGE 2020 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book constitutes the proceedings of the International Conference on Edge Computing, EDGE 2020, held virtually as part of SCF 2020, in Honolulu, HI, USA, in September 2020. The 7 full and 2 short papers presented in this volume were carefully reviewed and selected from 13 submissions. The conference proceeding EDGE 2020 presents the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing.

DKK 426.00
1

Edge Computing – EDGE 2022 - - Bog - Springer International Publishing AG - Plusbog.dk

Edge Computing – EDGE 2022 - - Bog - Springer International Publishing AG - Plusbog.dk

This book constitutes the proceedings of the 6th International Conference on Edge Computing, EDGE 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022. The 5 full and 2 short papers presented in this volume were carefully reviewed and selected from 16 submissions. The International Conference on Edge Computing (EDGE) aims to become a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing.

DKK 476.00
1

Edge Computing – EDGE 2021 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Edge Computing – EDGE 2021 - - Bog - Springer Nature Switzerland AG - Plusbog.dk

This book constitutes the proceedings of the International Conference on Edge Computing, EDGE 2021, held virtually as part of SCF 2021, held as a Virtual Event, December 10-14, 2021. The 5 full and 2 short papers presented in this volume were carefully reviewed and selected from 18 submissions. The conference proceeding EDGE 2021 presents the latest fundamental advances in the state of the art and practice of edge computing, identify emerging research topics, and define the future of edge computing.

DKK 468.00
1

The Unconquerable Game - Ely Callaway - Bog - Callaway Editions,U.S. - Plusbog.dk

The Unconquerable Game - Ely Callaway - Bog - Callaway Editions,U.S. - Plusbog.dk

In the tradition of golf classics such as Harvey Penick's Little Red Book: Lessons And Teachings From A Lifetime In Golf, Michael Murphy's Golf in the Kingdom and Ben Hogan's Five Lessons: The Modern Fundamentals of Golf, The Unconquerable Game is a unique combination of knowledge and insight about golf, written with timeless elegance, wisdom, and humor from one of America's foremost 20th century entrepreneurs. Among the 40 million active golfers in the world today, Callaway is recognized by touring pros and amateurs alike for having created the most compatible golf equipment ever made. Indeed, Callaway's revolutionary approach to research and manufacturing changed the game, and how people approached it, for the largest subset of players in history. However, not many know that the company was founded by one man, Ely Callaway (1919-2001), who, at the age of 65—after enjoying successful careers in textiles and wine—began it as a garage start-up in southern California. Within ten years, Ely (Ee-lee) built the Callaway Golf Company into the largest golf club company in the world and one of the sport's most prestigious brands. Golf was Ely's passion project: he had spent 50 years playing the game as an amateur; following the example of his hero and first cousin, Grand Slam winner Bobby Jones; analyzing the golf industry; and reflecting on the true meaning of the game. The success of the Callaway Golf Company was a direct result of its charismatic leader, who made a deep impression on everyone he met. Ely was beloved by millions around the world, from golfers to presidents, pop stars, to corporate titans, and most importantly, the weekend players who often struggled with their game. In the last years of his life, Ely wrote a book about the secrets of his success. He wanted to share his outlook on life with others, and why he kept at “the unconquerable game” for as long as he did. Ely died in 2001 however, before he was able to publish the book. Now, a generation later, the “lost book” of Ely Callaway is finally edited and compiled by his son, Nicholas Callaway. Here for the first time are Ely's stories from his lifetime in the game of golf, the people he met along the way, as well as vignettes from his career in business. Ely was a man who loved his work and sport and life, and the wisdom embedded in these pages offers promising life lessons for all.

DKK 338.00
1

Applied Edge AI - - Bog - Taylor & Francis Ltd - Plusbog.dk

Applied Edge AI - - Bog - Taylor & Francis Ltd - Plusbog.dk

The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases. FEATURES The opportunities and benefits of intelligent edge computing Edge architecture and infrastructure AI-enhanced analytics in an edge environment Encryption for securing information An Edge AI system programmed with Tiny Machine learning algorithms for decision making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge Ambient intelligence in healthcare services and in development of consumer electronic systems Smart manufacturing of unmanned aerial vehicles (UAVs) AI, edge computing, and blockchain in systems for environmental protection Case studies presenting the potential of leveraging AI in 5G wireless communication

DKK 527.00
1

Applied Edge AI - R.i. Minu - Bog - Taylor & Francis Ltd - Plusbog.dk

Applied Edge AI - R.i. Minu - Bog - Taylor & Francis Ltd - Plusbog.dk

The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases. FEATURES The opportunities and benefits of intelligent edge computing Edge architecture and infrastructure AI-enhanced analytics in an edge environment Encryption for securing information An Edge AI system programmed with Tiny Machine learning algorithms for decision making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge Ambient intelligence in healthcare services and in development of consumer electronic systems Smart manufacturing of unmanned aerial vehicles (UAVs) AI, edge computing, and blockchain in systems for environmental protection Case studies presenting the potential of leveraging AI in 5G wireless communication

DKK 1042.00
1

Edge Computing - D. Dharani - Bog - Taylor & Francis Ltd - Plusbog.dk

Edge Computing - D. Dharani - Bog - Taylor & Francis Ltd - Plusbog.dk

This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: - - Discusses edge data storage security with case studies and blockchain integration with the edge computing system - - - Covers theoretical methods with the help of applications, use cases, case studies, and examples - - - Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption - - - Discusses real-time interfaces, devices, and simulators in detail -

DKK 884.00
1

Machine Learning for Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning for Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: - - Edge computing, hardware for edge computing AI, and edge virtualization techniques - - - Edge intelligence and deep learning applications, training, and optimization - - - Machine learning algorithms used for edge computing - - - Reviews AI on IoT Discusses future edge computing needs - Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

DKK 884.00
1

Machine Learning for Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning for Edge Computing - - Bog - Taylor & Francis Ltd - Plusbog.dk

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: - - Edge computing, hardware for edge computing AI, and edge virtualization techniques - - - Edge intelligence and deep learning applications, training, and optimization - - - Machine learning algorithms used for edge computing - - - Reviews AI on IoT Discusses future edge computing needs - Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.

DKK 759.00
1

Beginning Azure IoT Edge Computing - David Jensen - Bog - APress - Plusbog.dk

Beginning Azure IoT Edge Computing - David Jensen - Bog - APress - Plusbog.dk

Use a step-by-step process to create and deploy your first Azure IoT Edge solution. Modern day developers and architects in today''s cloud-focused world must understand when it makes sense to leverage the cloud. Computing on the edge is a new paradigm for most people. The Azure IoT Edge platform uses many existing technologies that may be familiar to developers, but understanding how to leverage those technologies in an edge computing scenario can be challenging. Beginning Azure IoT Edge Computing demystifies computing on the edge and explains, through concrete examples and exercises, how and when to leverage the power of intelligent edge computing. It introduces the possibilities of intelligent edge computing using the Azure IoT Edge platform, and guides you through hands-on exercises to make edge computing approachable, understandable, and highly useful. Through user-friendlydiscussion you will not only understand how to build edge solutions, but also when to build them. By explaining some common solution patterns, the decision on when to use the cloud and when to avoid the cloud will become much clearer. What You''ll Learn - Create and deploy Azure IoT Edge solutions - Recognize when to leverage the intelligent edge pattern and when to avoid it - Leverage the available developer tooling to develop and debug IoT Edge solutions - Know which off-the-shelf edge computing modules are available - Become familiar with some of the lesser-known device protocols used in conjunction with edge computing - Understand how to securely deploy and bootstrap an IoT Edge device - Explore related topics such as containers and secure device provisioning Who This Book Is For Developers or architects who want to understand edge computing and when and where to use it. Readers should be familiar with C# or Python and have a high-level understanding of the Azure IoT platform.

DKK 519.00
1

Edge Computing - K. Anitha Kumari - Bog - Taylor & Francis Ltd - Plusbog.dk

Edge Computing - K. Anitha Kumari - Bog - Taylor & Francis Ltd - Plusbog.dk

This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: - - Discusses edge data storage security with case studies and blockchain integration with the edge computing system - - - Covers theoretical methods with the help of applications, use cases, case studies, and examples - - - Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption - - - Discusses real-time interfaces, devices, and simulators in detail -

DKK 476.00
1

Multi-access Edge Computing: Software Development at the Network Edge - Dario Sabella - Bog - Springer Nature Switzerland AG - Plusbog.dk

Multi-access Edge Computing: Software Development at the Network Edge - Dario Sabella - Bog - Springer Nature Switzerland AG - Plusbog.dk

The textbook covers the main aspects of Edge Computing, from a thorough look at the technology to the standards and industry associations working in the field. The book is conceived as a textbook for graduate students but also functions as a working guide for developers, engineers, and researchers. The book aims not only at providing a comprehensive technology and standard reference overview for students, but also useful research insights and practical exercises for edge software developers and investigators in the area (and for students looking to apply their skills). A particular emphasis is given Multi-access Edge Computing (MEC) as defined in European Telecommunications Standards Institute (ETSI), in relationship with other standard organizations like 3GPP, thus in alignment with the recent industry efforts to produce harmonized standards for edge computing leveraging both ETSI ISG MEC and 3GPP specifications. Practical examples of Edge Computing implementation from industry groups, associations, companies and edge developers, complete the book and make it useful for students entering the field. The book includes exercises, examples, and quizzes throughout.

DKK 519.00
1