Applied Edge Ai

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Applied Edge AI

Pethuru Raj,G. Nagarajan,R.I. Minu
Applied Edge AI Book PDF

Author : Pethuru Raj,G. Nagarajan,R.I. Minu
Publisher : CRC Press
Page : 334 pages
File Size : 53,7 Mb
Release : 2022-04-06
Category : Computers
ISBN : 9781000552690

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Applied Edge AI by Pethuru Raj,G. Nagarajan,R.I. Minu Pdf

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

Edge AI

Xiaofei Wang,Yiwen Han,Victor C. M. Leung,Dusit Niyato,Xueqiang Yan,Xu Chen
Edge AI Book PDF

Author : Xiaofei Wang,Yiwen Han,Victor C. M. Leung,Dusit Niyato,Xueqiang Yan,Xu Chen
Publisher : Springer Nature
Page : 156 pages
File Size : 48,5 Mb
Release : 2020-08-31
Category : Computers
ISBN : 9789811561863

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Edge AI by Xiaofei Wang,Yiwen Han,Victor C. M. Leung,Dusit Niyato,Xueqiang Yan,Xu Chen Pdf

As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.

Machine Learning for Edge Computing

Amitoj Singh,Vinay Kukreja,Taghi Javdani Gandomani
Machine Learning for Edge Computing Book PDF

Author : Amitoj Singh,Vinay Kukreja,Taghi Javdani Gandomani
Publisher : CRC Press
Page : 200 pages
File Size : 46,7 Mb
Release : 2022-07-29
Category : Computers
ISBN : 9781000609233

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Machine Learning for Edge Computing by Amitoj Singh,Vinay Kukreja,Taghi Javdani Gandomani Pdf

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.

Beyond Algorithms

James Luke,David Porter,Padmanabhan Santhanam
Beyond Algorithms Book PDF

Author : James Luke,David Porter,Padmanabhan Santhanam
Publisher : CRC Press
Page : 303 pages
File Size : 46,8 Mb
Release : 2022-05-29
Category : Computers
ISBN : 9781000581676

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Beyond Algorithms by James Luke,David Porter,Padmanabhan Santhanam Pdf

Focuses on the definition, engineering, and delivery of AI solutions as opposed to AI itself Reader will still gain a strong understanding of AI, but through the perspective of delivering real solutions Explores the core AI issues that impact the success of an overall solution including i. realities of dealing with data, ii. impact of AI accuracy on the ability of the solution to meet business objectives, iii. challenges in managing the quality of machine learning models Includes real world examples of enterprise scale solutions Provides a series of (optional) technical deep dives and thought experiments.

Edge Intelligence

Javid Taheri,Schahram Dustdar,Albert Zomaya,Shuiguang Deng
Edge Intelligence Book PDF

Author : Javid Taheri,Schahram Dustdar,Albert Zomaya,Shuiguang Deng
Publisher : Springer
Page : 0 pages
File Size : 43,6 Mb
Release : 2023-05-14
Category : Computers
ISBN : 3031221540

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Edge Intelligence by Javid Taheri,Schahram Dustdar,Albert Zomaya,Shuiguang Deng Pdf

This graduate-level textbook is ideally suited for lecturing the most relevant topics of Edge Computing and its ties to Artificial Intelligence (AI) and Machine Learning (ML) approaches. It starts from basics and gradually advances, step-by-step, to ways AI/ML concepts can help or benefit from Edge Computing platforms. The book is structured into seven chapters; each comes with its own dedicated set of teaching materials (practical skills, demonstration videos, questions, lab assignments, etc.). Chapter 1 opens the book and comprehensively introduces the concept of distributed computing continuum systems that led to the creation of Edge Computing. Chapter 2 motivates the use of container technologies and how they are used to implement programmable edge computing platforms. Chapter 3 introduces ways to employ AI/ML approaches to optimize service lifecycles at the edge. Chapter 4 goes deeper in the use of AI/ML and introduces ways to optimize spreading computational tasks along edge computing platforms. Chapter 5 introduces AI/ML pipelines to efficiently process generated data on the edge. Chapter 6 introduces ways to implement AI/ML systems on the edge and ways to deal with their training and inferencing procedures considering the limited resources available at the edge-nodes. Chapter 7 motivates the creation of a new orchestrator independent object model to descriptive objects (nodes, applications, etc.) and requirements (SLAs) for underlying edge platforms. To provide hands-on experience to students and step-by-step improve their technical capabilities, seven sets of Tutorials-and-Labs (TaLs) are also designed. Codes and Instructions for each TaL is provided on the book website, and accompanied by videos to facilitate their learning process.

Edge Intelligence in the Making

Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang
Edge Intelligence in the Making Book PDF

Author : Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang
Publisher : Springer Nature
Page : 17 pages
File Size : 40,9 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031023804

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Edge Intelligence in the Making by Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang Pdf

With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet, generating zillions of bytes of data at the network edge. Driven by this trend, there is an urgent need to push the frontiers of artificial intelligence (AI) to the network edge to fully unleash the potential of IoT big data. Indeed, the marriage of edge computing and AI has resulted in innovative solutions, namely edge intelligence or edge AI. Nevertheless, research and practice on this emerging inter-disciplinary field is still in its infancy stage. To facilitate the dissemination of the recent advances in edge intelligence in both academia and industry, this book conducts a comprehensive and detailed survey of the recent research efforts and also showcases the authors' own research progress on edge intelligence. Specifically, the book first reviews the background and present motivation for AI running at the network edge. Next, it provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors' own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. Finally, it discusses the applications, marketplace, and future research opportunities of edge intelligence. This emerging interdisciplinary field offers many open problems and yet also tremendous opportunities, and this book only touches the tip of iceberg. Hopefully, this book will elicit escalating attention, stimulate fruitful discussions, and open new directions on edge intelligence.

AI, Edge and IoT-based Smart Agriculture

Ajith Abraham,Sujata Dash,Joel J.P.C. Rodrigues,Biswaranjan Acharya,Subhendu Kumar Pani
AI Edge and IoT based Smart Agriculture Book PDF

Author : Ajith Abraham,Sujata Dash,Joel J.P.C. Rodrigues,Biswaranjan Acharya,Subhendu Kumar Pani
Publisher : Academic Press
Page : 578 pages
File Size : 43,9 Mb
Release : 2021-11-10
Category : Technology & Engineering
ISBN : 9780128236956

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AI, Edge and IoT-based Smart Agriculture by Ajith Abraham,Sujata Dash,Joel J.P.C. Rodrigues,Biswaranjan Acharya,Subhendu Kumar Pani Pdf

AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection Promotes the importance and uses in managing the agro ecosystem for food security Emphasizes low energy usage options for low cost and environmental sustainability

Industry Automation: The Technologies, Platforms and Use Cases

Pethuru Raj,Abhishek Kumar,Ananth Kumar,Neha Singhal
Industry Automation The Technologies Platforms and Use Cases Book PDF

Author : Pethuru Raj,Abhishek Kumar,Ananth Kumar,Neha Singhal
Publisher : CRC Press
Page : 437 pages
File Size : 51,7 Mb
Release : 2024-08-23
Category : Technology & Engineering
ISBN : 9781040123638

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Industry Automation: The Technologies, Platforms and Use Cases by Pethuru Raj,Abhishek Kumar,Ananth Kumar,Neha Singhal Pdf

This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities. All industrial artifacts are being digitized, connected and empowered to be cognitive in their operations, offerings and outputs. By smartly leveraging a dazzling array of digital technologies and tools, the interaction and collaboration with human experts becomes hugely simplified and speeded up considerably. Such cognition-enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles, drones, and other assets collectively provide an intelligent environment to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every industrial process gets optimized and automated to produce next-generation products to ensure customer delight, to explore fresh avenues to enhance revenues and to embark on higher productivity. In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation.

Artificial Intelligence of Things (AIoT)

Kashif Naseer Qureshi,Thomas Newe
Artificial Intelligence of Things AIoT Book PDF

Author : Kashif Naseer Qureshi,Thomas Newe
Publisher : CRC Press
Page : 272 pages
File Size : 51,5 Mb
Release : 2024-04-05
Category : Computers
ISBN : 9781003854272

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Artificial Intelligence of Things (AIoT) by Kashif Naseer Qureshi,Thomas Newe Pdf

This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT networks to improve human and machine interfaces and enhance data processing and services. AIoT networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIoT networks. Due to a large number of devices in today’s world, efficient and intelligent data processing is essential for problem-solving and decision-making. AI multiplies the value of these networks and promotes intelligence and learning capabilities, especially in homes, offices, and cities. However, several challenges have been observed in deploying AIoT networks, such as scalability, complexity, accuracy, and robustness. In addition, these networks are integrated with cloud, 5G networks, and blockchain methods for service provision. Many different solutions have been proposed to address issues related to machine and deep learning methods, ontology-based approaches, genetic algorithms, and fuzzy-based systems. This book aims to contribute to the state of the art and present current standards, technologies, and approaches for AIoT networks. This book focuses on existing solutions in AIoT network technologies, applications, services, standards, architectures, and security provisions. This book also introduces some new architectures and models for AIoT networks.

Applied Cryptography and Network Security Workshops

Jianying Zhou,Mauro Conti,Chuadhry Mujeeb Ahmed,Man Ho Au,Lejla Batina,Zhou Li,Jingqiang Lin,Eleonora Losiouk,Bo Luo,Suryadipta Majumdar,Weizhi Meng,Martín Ochoa,Stjepan Picek,Georgios Portokalidis,Cong Wang,Kehuan Zhang
Applied Cryptography and Network Security Workshops Book PDF

Author : Jianying Zhou,Mauro Conti,Chuadhry Mujeeb Ahmed,Man Ho Au,Lejla Batina,Zhou Li,Jingqiang Lin,Eleonora Losiouk,Bo Luo,Suryadipta Majumdar,Weizhi Meng,Martín Ochoa,Stjepan Picek,Georgios Portokalidis,Cong Wang,Kehuan Zhang
Publisher : Springer Nature
Page : 584 pages
File Size : 46,7 Mb
Release : 2020-10-14
Category : Computers
ISBN : 9783030616380

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Applied Cryptography and Network Security Workshops by Jianying Zhou,Mauro Conti,Chuadhry Mujeeb Ahmed,Man Ho Au,Lejla Batina,Zhou Li,Jingqiang Lin,Eleonora Losiouk,Bo Luo,Suryadipta Majumdar,Weizhi Meng,Martín Ochoa,Stjepan Picek,Georgios Portokalidis,Cong Wang,Kehuan Zhang Pdf

This book constitutes the proceedings of the satellite workshops held around the 18th International Conference on Applied Cryptography and Network Security, ACNS 2020, in Rome, Italy, in October 2020. The 31 papers presented in this volume were carefully reviewed and selected from 65 submissions. They stem from the following workshops: AIBlock 2020: Second International Workshop on Application Intelligence and Blockchain Security AIHWS 2020: First International Workshop on Artificial Intelligence in Hardware Security AIoTS 2020: Second International Workshop on Artificial Intelligence and Industrial Internet-of-Things Security Cloud S&P 2020: Second International Workshop on Cloud Security and Privacy SCI 2020: First International Workshop on Secure Cryptographic Implementation SecMT 2020: First International Workshop on Security in Mobile Technologies SiMLA 2020: Second International Workshop on Security in Machine Learning and its Applications

AI and Blockchain Optimization Techniques in Aerospace Engineering

Vignesh, U.,Ratnakumar, Rahul,Mahdi Al-Obaidi, Abdulkareem Sh.
AI and Blockchain Optimization Techniques in Aerospace Engineering Book PDF

Author : Vignesh, U.,Ratnakumar, Rahul,Mahdi Al-Obaidi, Abdulkareem Sh.
Publisher : IGI Global
Page : 272 pages
File Size : 45,7 Mb
Release : 2024-03-05
Category : Technology & Engineering
ISBN : 9798369314920

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AI and Blockchain Optimization Techniques in Aerospace Engineering by Vignesh, U.,Ratnakumar, Rahul,Mahdi Al-Obaidi, Abdulkareem Sh. Pdf

The amalgamation of artificial intelligence (AI), optimization techniques, and blockchain is revolutionizing how to conceptualize, design, and operate aerospace systems. While optimization techniques are pivotal in streamlining aerospace processes, security challenges have recently surfaced. AI and Blockchain Optimization Techniques in Aerospace Engineering delves into the transformative impact of technologies on various facets of the aerospace industry, offering a multidimensional solution to overcome security concerns and enhance the overall efficiency of aerospace systems The book explores how machine learning reshapes aerospace systems by automating complex tasks through self/reinforced learning methods. From air traffic data analysis to flight scheduling, geographical information, and navigation, machine learning has become an indispensable tool, offering valuable insights that enhance aerospace operations. Simultaneously, blockchain technology, with its inherent characteristics of decentralization and tamper-proof ledgers, ensures transparency, accountability, and security in transactions, providing an innovative approach to data integrity and system resilience. Designed for technology development professionals, academicians, data scientists, industrial experts, researchers, and students, the book offers a panoramic view of the latest innovations in the field.

Applied Artificial Intelligence in Business

Leong Chan,Liliya Hogaboam,Renzhi Cao
Applied Artificial Intelligence in Business Book PDF

Author : Leong Chan,Liliya Hogaboam,Renzhi Cao
Publisher : Springer Nature
Page : 370 pages
File Size : 54,6 Mb
Release : 2022-07-19
Category : Business & Economics
ISBN : 9783031057403

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Applied Artificial Intelligence in Business by Leong Chan,Liliya Hogaboam,Renzhi Cao Pdf

This book offers students an introduction to the concepts of big data and artificial intelligence (AI) and their applications in the business world. It answers questions such as what are the main concepts of artificial intelligence and big data? What applications for artificial intelligence and big data analytics are used in the business field? It offers application-oriented overviews and cases from different sectors and fields to help readers discover and gain useful insights. Each chapter features discussion questions and summaries. To assist professors in teaching, the book supplementary materials will include answers to questions, and presentation slides.

Practical Deep Learning for Cloud, Mobile, and Edge

Anirudh Koul,Siddha Ganju,Meher Kasam
Practical Deep Learning for Cloud Mobile and Edge Book PDF

Author : Anirudh Koul,Siddha Ganju,Meher Kasam
Publisher : O'Reilly Media
Page : 586 pages
File Size : 51,9 Mb
Release : 2019-10-14
Category : Computers
ISBN : 9781492034834

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Practical Deep Learning for Cloud, Mobile, and Edge by Anirudh Koul,Siddha Ganju,Meher Kasam Pdf

Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users

Topics in Artificial Intelligence Applied to Industry 4.0

Mahmoud Ragab AL-Refaey,Amit Kumar Tyagi,Abdullah Saad AL-Malaise AL-Ghamdi,Swetta Kukreja
Topics in Artificial Intelligence Applied to Industry 4 0 Book PDF

Author : Mahmoud Ragab AL-Refaey,Amit Kumar Tyagi,Abdullah Saad AL-Malaise AL-Ghamdi,Swetta Kukreja
Publisher : John Wiley & Sons
Page : 325 pages
File Size : 52,5 Mb
Release : 2024-07-15
Category : Computers
ISBN : 9781394216116

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Topics in Artificial Intelligence Applied to Industry 4.0 by Mahmoud Ragab AL-Refaey,Amit Kumar Tyagi,Abdullah Saad AL-Malaise AL-Ghamdi,Swetta Kukreja Pdf

Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.

Convergence of Deep Learning and Internet of Things: Computing and Technology

Kavitha, T.,Senbagavalli, G.,Koundal, Deepika,Guo, Yanhui,Jain, Deepak
Convergence of Deep Learning and Internet of Things Computing and Technology Book PDF

Author : Kavitha, T.,Senbagavalli, G.,Koundal, Deepika,Guo, Yanhui,Jain, Deepak
Publisher : IGI Global
Page : 371 pages
File Size : 42,6 Mb
Release : 2022-12-19
Category : Computers
ISBN : 9781668462775

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Convergence of Deep Learning and Internet of Things: Computing and Technology by Kavitha, T.,Senbagavalli, G.,Koundal, Deepika,Guo, Yanhui,Jain, Deepak Pdf

Digital technology has enabled a number of internet-enabled devices that generate huge volumes of data from different systems. This large amount of heterogeneous data requires efficient data collection, processing, and analytical methods. Deep Learning is one of the latest efficient and feasible solutions that enable smart devices to function independently with a decision-making support system. Convergence of Deep Learning and Internet of Things: Computing and Technology contributes to technology and methodology perspectives in the incorporation of deep learning approaches in solving a wide range of issues in the IoT domain to identify, optimize, predict, forecast, and control emerging IoT systems. Covering topics such as data quality, edge computing, and attach detection and prediction, this premier reference source is a comprehensive resource for electricians, communications specialists, mechanical engineers, civil engineers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.