Download or read book Artificial Intelligence and Internet of Things based Augmented Trends for Data Driven Systems written by Anshu Singla and published by CRC Press. This book was released on 2024-07-31 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively discusses the role of cloud computing in artificial intelligence‐based data‐driven systems and hybrid cloud computing for large data‐driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides Internet of Things‐based frameworks and advanced computing techniques to deal with online/virtual systems. This book: • Covers the aspects of security, authentication, and prediction for data‐driven systems in heterogeneous environments. • Provides data‐driven frameworks in combination with the Internet of Things, artificial intelligence, and computing to provide critical insights and decision‐making for real‐time problems. • Showcases deep learning‐based computer vision algorithms for enhanced pattern detection in different domains based on data‐centric approaches. • Examines the role of the Internet of Things and machine learning algorithms for data‐driven systems. • Highlights the applications of data‐driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, and computer science engineering.

Download or read book Artificial Intelligence and Internet of Things Based Augmented Trends for Data Driven Systems written by Pao-Ann Hsiung and published by . This book was released on 2024-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book comprehensively discusses the role of cloud computing in artificial intelligence based data-driven systems, and hybrid cloud computing for large data-driven applications. It further explores new approaches, paradigms, and frameworks to meet societal challenges by providing solutions for critical insights into data. The text provides internet of things-based frameworks and advanced computing techniques to deal with online/virtual systems. This book: Covers aspects of security, authentication, and prediction for data-driven systems in heterogeneous environments. Provides data-driven frameworks in combination with the internet of things, artificial intelligence, and computing to provide critical insights and decision-making for real time problems. Showcases deep learning-based computer vision algorithms for enhanced pattern detection in different domains based on data-centric approaches. Examines the role of the internet of things and machine learning algorithms for data-driven systems. Highlights the applications of data-driven systems and cloud computing in enhancing network performance. This book is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science, and engineering"--

Download or read book Data Driven Systems and Intelligent Applications written by Mangesh M. Ghonge and published by CRC Press. This book was released on 2024-10-09 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further covers data-driven decision-making for smart logistics and manufacturing systems, network security, and privacy issues in cloud computing. This book: Discusses intelligent systems and cloud computing with the help of artificial intelligence and machine learning. Showcases the importance of machine learning and deep learning in data-driven and cloud-based applications to improve their capabilities and intelligence. Presents the latest developments in data-driven and cloud applications with respect to their design and architecture. Covers artificial intelligence methods along with their experimental result analysis through data processing tools. Presents the advent of machine learning, deep learning, and reinforcement technique for cloud computing to provide cost-effective and efficient services. The text will be useful for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer engineering, manufacturing engineering, and production engineering.

Download or read book Convergence of Artificial Intelligence and the Internet of Things written by George Mastorakis and published by Springer Nature. This book was released on 2020-05-06 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.

Download or read book Artificial Intelligence based Internet of Things Systems written by Souvik Pal and published by Springer Nature. This book was released on 2022-01-11 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.

Download or read book Artificial Intelligence in Workplace Health and Safety written by Mohammad Yazdi and published by CRC Press. This book was released on 2024-10-30 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results. Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques offers a comprehensive roadmap for professionals, researchers, and practitioners in work health and safety (WHS), revolutionizing traditional approaches through the integration of data-driven methodologies and artificial intelligence. Covering the foundations and practical applications of data-driven WHS and historical perspectives to current regulatory frameworks, it investigates the key concepts of data collection, management, and integration. Through real-world case studies and examples, readers can discover how AI technologies such as machine learning, computer vision, and natural language processing are reshaping WHS practices, mitigating risks, and optimizing safety measures. The reader will learn applications of AI and data-driven methodologies in their workplace settings to improve safety. With its practical insights, real-world examples, and progressive approach, this title ensures that readers are not just prepared for the future of WHS but empowered to shape it for better. This text is written for professionals and practitioners seeking to enhance workplace safety through innovative technologies. This extends to safety professionals, HR personnel and engineers across different sectors.

Download or read book Cognitive Machine Intelligence written by Inam Ullah Khan and published by CRC Press. This book was released on 2024-08-28 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of machine learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores the essential role of machine learning in healthcare, security, and manufacturing. With a keen focus on privacy, trust, and the improvement of human lifestyles, this book stands as a comprehensive guide to the novel techniques and applications driving the evolution of cognitive machine intelligence. The vision presented here extends to smart cities, where AI-enabled techniques contribute to optimal decision-making, and future computing systems address end-to-end delay issues with a central focus on Quality-of-Service metrics. Cognitive Machine Intelligence is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of artificial intelligence and cognitive computing. This book: Covers a comprehensive exploration of cognitive machine intelligence and its intersection with emerging technologies such as federated learning, blockchain, and 6G and beyond. Discusses the integration of machine learning with various technologies such as wireless communication networks, ad-hoc networks, software-defined networks, quantum computing, and big data. Examines the impact of machine learning on various fields such as healthcare, unmanned aerial vehicles, cybersecurity, and neural networks. Provides a detailed discussion on the challenges and solutions to future computer networks like end-to-end delay issues, Quality of Service (QoS) metrics, and security. Emphasizes the need to ensure privacy and trust while implementing the novel techniques of machine intelligence. It is primarily written for senior undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

Download or read book Introduction to Python for Science and Engineering written by David J. Pine and published by CRC Press. This book was released on 2024-09-23 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical and “bottom up,” which means starting with examples and extracting more general principles from that experience. No prior programming experience is assumed. Readers will learn the basics of Python syntax, data structures, input and output, conditionals and loops, user-defined functions, plotting, animation, and visualization. They will also learn how to use Python for numerical analysis, including curve fitting, random numbers, linear algebra, solutions to nonlinear equations, numerical integration, solutions to differential equations, and fast Fourier transforms. Readers learn how to interact and program with Python using JupyterLab and Spyder, two simple and widely used integrated development environments. All the major Python libraries for science and engineering are covered, including NumPy, SciPy, Matplotlib, and Pandas. Other packages are also introduced, including Numba, which can render Python numerical calculations as fast as compiled computer languages such as C but without their complex overhead.

Download or read book Internet of Things written by Neil Wilkins and published by . This book was released on 2019-12-10 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reveals the concepts and methods powering perhaps the most ambitious technological concept of the twenty-first century - the Internet of Things (IoT) - and parades all the ridiculously named gadgets techies imagined to saturate the market before the competition.

Download or read book Handbook of Research on AI Based Technologies and Applications in the Era of the Metaverse written by Khang, Alex and published by IGI Global. This book was released on 2023-07-03 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent advancements in the field of the internet of things (IoT), AI, big data, blockchain, augmented reality (AR)/virtual reality (VR), cloud platforms, quantum computing, cybersecurity, and telecommunication technology enabled the promotion of conventional computer-aided industry to the metaverse ecosystem that is powered by AR/VR-driven technologies. In this paradigm shift, the integrated technologies of IoT and AI play a vital role to connect the cyberspace of computing systems and virtual environments. AR/VR supports a huge range of industrial applications such as logistics, the food industry, and manufacturing utilities. AI-Based Technologies and Applications in the Era of the Metaverse discusses essential components of the metaverse ecosystem such as concepts, methodologies, technologies, modeling, designs, statistics, implementation, and maintenance. Covering key topics such as machine learning, deep learning, quantum computing, and blockchain, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Download or read book Industry 4 0 Convergence with AI IoT Big Data and Cloud Computing Fundamentals Challenges and Applications written by Parikshit N. Mahalle, Gitanjali R. Shinde, Prachi M. Joshi and published by Bentham Science Publishers. This book was released on 2023-12-25 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume showcases upcoming trends and applications that are set to redefine our technological landscape. Chapters comprise referenced reviews focused on the recent research that introduces new methods and techniques for using AI in Industry 4.0, and the integration of Internet of Things (IoT) to drive new industrial processes. The contributors have discussed challenges in industry 4.0 along with the applications and the way it is shaping different industries. Key themes: AI in Communication Media: Uncover the latest research, with insights into the challenges and adoption of AI in remote processes. New AI Techniques for Industry 4.0: Learn about technologies such as blockchains and applications of machine learning, deep learning, and image processing. IoT and AI for Smart Systems: Understand IoT with a special focus on enhancing smart systems, in different industries, including agriculture and transaction processing Explorable AI: Gain a quick understanding of Explainable AI (XAI) and its role in improving the predictability and transparency of IoT applications. Whether you're a tech enthusiast, researcher, or industry professional, this book offers a glimpse into the innovative world of Industry 4.0 and its intersection with AI, IoT, big data, and cloud computing.

Download or read book Connected Intelligence written by Charlie Morgan and published by eBookIt.com. This book was released on 2024-07-08 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the Future of Innovation Are you ready to step into the future where Artificial Intelligence and the Internet of Things converge to revolutionize every aspect of our lives? This groundbreaking book dives deep into this transformative era, unveiling the limitless possibilities that await. Interest: Imagine a world where your home anticipates your needs, where cities are smart and responsive, and where healthcare is personalized and proactive. Through rich, insightful chapters, explore how AI and IoT are reshaping industries across the spectrum– from smart homes to intelligent cities, from cutting-edge healthcare to advanced agriculture. Feel the pulse of innovation as you navigate through enthralling chapters on core concepts, smart homes, intelligent cities, and beyond. Discover real-world applications and success stories that showcase the extraordinary potential of AIoT, while uncovering the ethical considerations and challenges that come with this exciting new frontier. Desire: Envision the limitless potential of AIoT in revolutionizing manufacturing, transforming retail experiences, optimizing energy use, and enhancing transportation systems. Unearth the secrets of precision farming, AI-powered security, and smart grids. With captivating insights on every page, you'll find yourself captivated by the boundless opportunities and innovations that AI and IoT present. Join the pioneers of tomorrow. Action: Don't miss your chance to be at the forefront of a technological revolution. Whether you're a tech enthusiast, a business leader, or simply curious about the future, this book provides a comprehensive guide to navigating the new world shaped by AI and IoT. Grab your copy today and start exploring the future that is already here.

Download or read book Internet of Things Integrated Augmented Reality written by Gitanjali Rahul Shinde and published by Springer Nature. This book was released on 2020-06-19 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the use of converged technology, a rapidly growing area that enhancements smart devices, communication, Internet of things (IoT), and augmented reality (AR). The book also explores the need for convergence of IoT and AR for various purposes, like personalized services, context awareness, and bridging the gap between the physical and digital world. Furthermore, it examines the implementation of IoT and AR in use cases to define pathways that allow application developers to design modern solutions to satisfy requirements like scalability, abstraction and security. Featuring an introduction, and covering sensing techniques, and effective architecture in AR-based IoT real-time use cases, the book also addresses the issues and challenges in designing standard architecture and middleware to support diverse applications. Given its scope, it is a valuable resource for teachers and students in engineering, as well as researchers, developers, and users working in multi-disciplinary areas.

Download or read book Emerging Trends in Data Driven Computing and Communications written by Rajeev Mathur and published by Springer Nature. This book was released on 2021-09-27 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes best selected, high-quality research papers presented at International Conference on Data Driven Computing and IoT (DDCIoT 2021) organized jointly by Geetanjali Institute of Technical Studies (GITS), Udaipur, and Rajasthan Technical University, Kota, India, during March 20–21, 2021. This book presents influential ideas and systems in the field of data driven computing, information technology, and intelligent systems.

Download or read book TRANSFORMING INDUSTRIES WITH AI EXPLORING THE UPSIDES AND DOWNSIDES OF EMERGING TECHNOLOGY written by Bechoo Lal and published by Xoffencerpublication. This book was released on 2023-08-21 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current day and age of technology, buzzwords such as artificial intelligence (AI), the internet of things (IoT), and cloud computing are often used. AI is the technology that tries to make computers or other machines equal to the human brain, making them capable of learning and problem-solving in the same way that humans do. Applications based on AI may be readily connected with other developing technologies such as the Internet of Things (IoT), the cloud, Big Data, and Blockchain. The Internet of Things refers to a network of interconnected, internet-enabled items or things that are able to gather and share data with one another. In recognition of the idea of the Internet of items, a significant number of tangible items are now being connected with the internet at an exceptionally rapid pace. By the year 2025, there will be more than 30 billion Internet of Things connections, with approximately four Internet of Things devices per person on average, according to reports and current trends. Cloud computing provides a means through which the huge amounts of data created by these Internet of Things applications may be sent to their respective endpoints. The use of cloud computing is widely acknowledged to be a facility for the processing and storage of data. Just-in-time processing and lightning fast response times are necessities for any and all real-time applications that make use of the Internet of Things. Researchers, academics, and industrialists in the fields of health care, agriculture, telecommunications, online and mobile commerce, and transportation have shown a significant amount of interest in AI and IoT-based data. In today's world, AI-based methodologies increase the role that IoT plays in business monitoring, health-care monitoring, illness prediction, bioinformatics, research and development, stock market prediction, social network analysis, weather analysis, agriculture, transportation, and resource optimization. The implementation of these applications needs a certain amount of processing capability as well as data storage, both of which are often given by cloud-based services. The data that has been saved is processed in a high-precision and just-in-time way with the help of AI algorithms. The cloud is a strong instrument that can send data not only via the standard channels of the internet but also through a dedicated direct connection. The Internet of Things becomes the source of creating enormous amounts of data, and the cloud becomes an essential component for data storage. As a result, the Internet of Things and clouds have become deeply intertwined in order to provide commercial business services. 1 | P a ge This configuration is sometimes referred to as cloud-based IoT. As a result of their success in providing cloud-based Internet of Things (IoT) services, companies like Amazon Web Services (AWS), Google, and Microsoft have become industry leaders. This makes the task much more rewarding. In addition, the cloud-based Internet of items is utilized to link a broad variety of intelligent items for usage in different applications. Artificial intelligence (AI), the internet of things (IoT), and cloud computing all play significant roles in a variety of domains in the present and will continue to do so in the future. The goal of AI is to analyze and collect the data produced through cloud-based Internet of Things devices by gathering data from a variety of businesses. Integrating AI, IoT, and the cloud has resulted in a transformation of both the entire storage capacity and the digital world, and as a result, it has become a subject of intense interest among academics and academicians. The purpose of this chapter is to place an emphasis on the function that AI plays in data storage that is based on the cloud and IoT. The remaining parts of the chapter are broken down into the following sections: storing of data on the cloud is the primary emphasis. examines the function that IoT plays in cloud environments. In addition, the part that AI plays in the Internet of Things (IoT) and cloud data storage is discussed in. Section 6 brings the chapter to a close by discussing the applications of AI, IoT, and clouds in a variety of industries.

Download or read book Artificial Intelligence meets Augmented Reality written by Lele Chitra and published by BPB Publications. This book was released on 2019-09-20 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blending of AI and ARKey featuresThe book believes in the concept of teach by example. All the tools needed to facilitate quick understanding of complex concepts are provided in this book: Definition of key terms Industry studies, research statistics, etc., that clarify concepts Spotlight sections A Word of Caution sections Chapter summaries Questions for reflection Description Artificial Intelligence Meets Augmented Reality: Redefining Regular Reality is a unique book as it presents the new technology paradigm of artificial intelligence (AI) and augmented reality (AR) and its full transition, right from major advantages that enhance entire industries to changing how the world operates at various levels. New realities will emerge in the context of our existing world through the combination of AI-AR. The book presents both the bright and bleak sides of the AI-AR duo in order to give a holistic view and help us to decide how we are going to leverage such technologies-and whether their disruptive or transformative nature-will mar or make the future of our world. A workforce of enlightened engineers is the key to designing and developing AI-AR solutions with responsibility in order to achieve the greater good. Through the book, Chitra Lele has explained a multidisciplinary, integrated approach as to how we can minimize barriers and blend AI and AR without destroying our natural settings. The book will help to chart out a path where there is no trail yet, and get you started on developing AI-AR solutions and experiences in bettering the world in an ethical and responsible manner. What will you learn Dynamics of Artificial Intelligence and Augmented Reality AI and AR Ecosystem Business at the Crossroads of AI and AR What does the AI-AR Marriage Hold for the Future of the World Who this book is forStudents, Academicians, Educationists, Professionals and Policy researchers. Table of contentsPART 1-Dynamics of Artificial Intelligence and Augmented Reality1. Introduction to Artificial Intelligence and Augmented Reality2. AI and AR EcosystemPART 2-Business at the Crossroads of AI and AR3. AI Meets AR in the Business Landscape4. More Dynamics of the AI-AR ConvergencePART 3-What does the AI-AR Marriage Hold for the Future of the World5. Collaboration of Intelligence and Augmentation in the Real World6. Challenges and Solutions7. Where do We Go from HereAbout the authorChitra Lele is a young software consultant, academic author and research scholar. She is a double postgraduate: Master in Computer Management and Master of Science in Software Engineering. Her publications include scholarly articles, research papers and academic books. She has been conferred with the title of "e;A Versatile Writer"e; by the India Book of Records for penning maximum number of books in a short span of eighteen months in various genres.Her LinkedIn Profile: linkedin.com/in/chitraleleauthorandconsultant

Download or read book Handbook Of Digital Enterprise Systems Digital Twins Simulation And Ai written by Wolfgang Kuhn and published by World Scientific. This book was released on 2019-06-04 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digitalization is changing nearly everything. This compendium highlights a comprehensive understanding of the concepts and technologies about digitalization in industrial environments, using the Industrial Internet of Things, Digital Twins and data-driven decision-making approaches including Artificial Intelligence.The overview of industrial enterprise platforms and the consideration of future trends gives a fundamental idea of concepts and strategies, how to get started and about the required changes of business models.