Shafi pathan mohd (49 Ergebnisse)

XVI, 403 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Systems, Decision and Control, 266. Sprache: Englisch. …

Zustand: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Zustand: New. In.

Zustand: New. In.

Zustand: New. In.

Zustand: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Proceeding of First Doctoral Symposium on Natural Computing Research | DSNCR 2020 | Varsha H. Patil (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xxvii | Englisch | 2021 | Springer | EAN 9789813340725 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Zustand: New.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail. In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities.In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail.In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas.…

Taschenbuch. Zustand: Neu. Internet of Things, Smart Computing and Technology: A Roadmap Ahead | Nilanjan Dey (u. a.) | Taschenbuch | Studies in Systems, Decision and Control | xvi | Englisch | 2021 | Springer | EAN 9783030390495 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: New.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: new. Hardcover. The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results.Key FeaturesFollows an algorithmic approach for data analysis in machine learningIntroduces machine learning methods in applicationsAddress the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analyticsFocuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data setsCase studies are covered relating to human health, transportation and Internet applications The book focusses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Zustand: New.

Zustand: New. 2019. 1st Edition. hardcover. . . . . .

Paperback. Zustand: Brand New. 501 pages. 9.25x6.10x1.14 inches. In Stock.

Paperback. Zustand: Brand New. 420 pages. 9.25x6.10x0.99 inches. In Stock.

Hardcover. Zustand: Brand New. 419 pages. 9.25x6.10x0.94 inches. In Stock.

Zustand: New.

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New. 2019. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Zustand: Brand New. 225 pages. 9.50x6.25x0.75 inches. In Stock.

Hardcover. Zustand: new. Hardcover. The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Ontologies that are used in heterogeneous IoT environments have been discussed including interpretation, context awareness, analyzing various data sources, machine learning algorithms and intelligent services and applications. Further, it includes unsupervised and semi-supervised machine learning techniques with study of semantic analysis and thorough analysis of reviews. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results.Key FeaturesFollows an algorithmic approach for data analysis in machine learningIntroduces machine learning methods in applicationsAddress the emerging issues in computing such as deep learning, machine learning, Internet of Things and data analyticsFocuses on machine learning techniques namely unsupervised and semi-supervised for unseen and seen data setsCase studies are covered relating to human health, transportation and Internet applications The book focusses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Zustand: new. Questo è un articolo print on demand.