Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science write by Inam Ullah. This book was released on 2024-06-14. Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science available in PDF, EPUB and Kindle. Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science mainly focuses on the techniques of artificial intelligence (AI), Internet of Things (IoT) and data science for future communications systems. The goal of AI, IoT and data science for future communications systems is to create a venue for industry and academics to collaborate on the development of network and system solutions based on data science, AI and IoT. Recent breakthroughs in IoT, mobile and fixed communications and computation have paved the way for a data‐centric society of the future. New applications are increasingly reliant on machine‐to‐machine connections, resulting in unusual workloads and the need for more efficient and dependable infrastructures. Such a wide range of traffic workloads and applications will necessitate dynamic and highly adaptive network environments capable of self‐optimization for the task at hand while ensuring high dependability and ultra‐low latency. Networking devices, sensors, agents, meters and smart vehicles/systems generate massive amounts of data, necessitating new levels of security, performance and dependability. Such complications necessitate the development of new tools and approaches for providing successful services, management and operation. Predictive network analytics will play a critical role in insight generation, process automation required for adapting and scaling to new demands, resolving issues before they impact operational performance (e.g., preventing network failures and anticipating capacity requirements) and overall network decision‐making. To increase user experience and service quality, data mining and analytic techniques for inferring quality of experience (QoE) signals are required. AI, IoT, machine learning, reinforcement learning and network data analytics innovations open new possibilities in areas such as channel modeling and estimation, cognitive communications, interference alignment, mobility management, resource allocation, network control and management, network tomography, multi‐agent systems and network ultra‐broadband deployment prioritization. These new analytic platforms will aid in the transformation of our networks and user experience. Future networks will enable unparalleled automation and optimization by intelligently gathering, analyzing, learning and controlling huge volumes of information.
Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science
Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science write by Inam Ullah. This book was released on 2024-06. Future Communication Systems Using Artificial Intelligence, Internet of Things and Data Science available in PDF, EPUB and Kindle.
IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges
IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges write by Pradeep Kumar Singh. This book was released on 2023-08-23. IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges available in PDF, EPUB and Kindle. This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems.
Learning Techniques for the Internet of Things
Learning Techniques for the Internet of Things - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Learning Techniques for the Internet of Things write by Praveen Kumar Donta. This book was released on . Learning Techniques for the Internet of Things available in PDF, EPUB and Kindle.
Artificial Intelligence of Things (AIoT)
Artificial Intelligence of Things (AIoT) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence of Things (AIoT) write by Kashif Naseer Qureshi. This book was released on 2024-04-05. Artificial Intelligence of Things (AIoT) available in PDF, EPUB and Kindle. 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.
