Machine Learning, Big Data, and IoT for Medical Informatics

Pardeep Kumar, Yugal Kumar, Mohamed A. Tawhid

Informasi Dasar

136 kali
22.21.456
006.3
Buku - Elektronik (E-Book)
Tel-U Gedung Manterawu Lantai 5 : Rak 4
Tel-U Purwokerto : Rak 3

Cyber-Physical Systems: Foundations, Principles and Applications explores the core system science perspective needed to design and build complex cyber-physical systems. Using Systems Science’s underlying theories, such as probability theory, decision theory, game theory, organizational sociology, behavioral economics, and cognitive psychology, the book addresses foundational issues central across CPS applications, including System Design -- How to design CPS to be safe, secure, and resilient in rapidly evolving environments, System Verification -- How to develop effective metrics and methods to verify and certify large and complex CPS, Real-time Control and Adaptation -- How to achieve real-time dynamic control and behavior adaptation in a diverse environments, such as clouds and in network-challenged spaces, Manufacturing -- How to harness communication, computation, and control for developing new products, reducing product concepts to realizable designs, and producing integrated software-hardware systems at a pace far exceeding today's timeline. The book is part of the Intelligent Data-Centric Systems: Sensor-Collected Intelligence series edited by Fatos Xhafa, Technical University of Catalonia.

Subjek

Machine Learning
 

Katalog

Machine Learning, Big Data, and IoT for Medical Informatics
978-0-12-821777-1
434p.: pdf file.; 23 MB
English

Sirkulasi

Rp. 0
Rp. 0
Tidak

Pengarang

Pardeep Kumar, Yugal Kumar, Mohamed A. Tawhid
Perorangan
 
 

Penerbit

Fatos Xhafa Technical University of Catalonia
Barcelona
2021

Koleksi

Kompetensi

 

Download / Flippingbook

 

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