Data science internet things (39 Ergebnisse)

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Hardcover. Zustand: Brand New. 98 pages. 6.00x0.25x9.00 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 300 pages. 9.25x6.10x0.71 inches. In Stock.

Paperback. Zustand: Brand New. 65 pages. 9.25x6.10x0.39 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data.Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments.This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use.Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.…

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This bookoffers a basic understanding of the Internet ofThings (IoT), its design issues and challenges for healthcare applications. It also provides details of the challenges of healthcare big data, role of big data inhealthcareand techniques,andtoolsforIoT inhealthcare. Thisbookoffers a strong foundation to a beginner. All technical details that include healthcare data collection unit, technologies and tools used for the big data analytics implementation are explained in a clear and organized format.…

Paperback. Zustand: Brand New. 236 pages. 7.00x0.53x10.00 inches. In Stock.

hardcover. Zustand: Very Good.

Taschenbuch. Zustand: Neu. Guide to Industrial Analytics | Solving Data Science Problems for Manufacturing and the Internet of Things | Richard Hill (u. a.) | Taschenbuch | Texts in Computer Science | xxv | Englisch | 2022 | Springer | EAN 9783030791063 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New. Dr. Inam Ullah received a B.Sc. degree in Electrical Engineering (Telecommunication) from the Department of Electrical Engineering, University of Science and Technology Bannu (USTB), KPK, Pakistan, in 2016 and a Master s and Ph.D. degree in Inform.

Taschenbuch. Zustand: Neu. Foundations of Data Science Based Healthcare Internet of Things | Parikshit N. Mahalle (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xii | Englisch | 2021 | Springer | EAN 9789813364592 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Hardcover. Zustand: Brand New. 300 pages. 9.25x6.10x0.91 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - 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 datäcentric 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 ulträlow 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 ulträbroadband 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.…

Taschenbuch. Zustand: Neu. Neuware - Emerging Trends in Machine Learning, Data Science, and Internet of Things Volumes 1 & 2 explores the technologies shaping the future of intelligent systems. Covering Machine Learning, Data Science, IoT, Blockchain, Cloud Computing, and Artificial Intelligence, the book focuses on designing and applying secure, data-driven solutions across healthcare, agriculture, transportation, education, cybersecurity, and digital content management. It blends cutting-edge research with practical implementations, including AI-driven disease prediction, anomaly detection for network security, sentiment analysis, smart IoT applications, and blockchain-enabled digital authentication. The volumes highlight both theoretical foundations and real-world case studies, offering actionable insights for researchers and industry professionals alike. Key Features: -Comprehensive coverage of AI, ML, IoT, and Data Science applications.-Case studies on healthcare, agriculture, cybersecurity, and digital systems.-Practical implementations and comparative analyses of models.-Interdisciplinary insights, including AR, blockchain, and smart systems.-Focuses on both theory and real-world application. …

Taschenbuch. Zustand: Neu. Neuware - Emerging Trends in Machine Learning, Data Science, and Internet of Things Volumes 1 & 2 explores the technologies shaping the future of intelligent systems. Covering Machine Learning, Data Science, IoT, Blockchain, Cloud Computing, and Artificial Intelligence, the book focuses on designing and applying secure, data-driven solutions across healthcare, agriculture, transportation, education, cybersecurity, and digital content management. It blends cutting-edge research with practical implementations, including AI-driven disease prediction, anomaly detection for network security, sentiment analysis, smart IoT applications, and blockchain-enabled digital authentication. The volumes highlight both theoretical foundations and real-world case studies, offering actionable insights for researchers and industry professionals alike. Key Features: -Comprehensive coverage of AI, ML, IoT, and Data Science applications.-Case studies on healthcare, agriculture, cybersecurity, and digital systems.-Practical implementations and comparative analyses of models.-Interdisciplinary insights, including AR, blockchain, and smart systems.-Focuses on both theory and real-world application. …

Zustand: New.

Zustand: New.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Data Science and Internet of Things | Research and Applications at the Intersection of DS and IoT | Giancarlo Fortino (u. a.) | Taschenbuch | Internet of Things | xii | Englisch | 2022 | Springer | EAN 9783030671990 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…