Author: Atul Chaturvedi
Publisher: Springer Nature
ISBN: 9819706416
Category :
Languages : en
Pages : 881
Book Description
Cryptology and Network Security with Machine Learning
Author: Atul Chaturvedi
Publisher: Springer Nature
ISBN: 9819706416
Category :
Languages : en
Pages : 881
Book Description
Publisher: Springer Nature
ISBN: 9819706416
Category :
Languages : en
Pages : 881
Book Description
Documentation Abstracts
Author:
Publisher:
ISBN:
Category : Documentation
Languages : en
Pages : 348
Book Description
Publisher:
ISBN:
Category : Documentation
Languages : en
Pages : 348
Book Description
Artificial Intelligence Abstracts
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 658
Book Description
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 658
Book Description
Artificial Intelligence Applications to Smart City and Smart Enterprise
Author: Donato Impedovo
Publisher: MDPI
ISBN: 3039364375
Category : Technology & Engineering
Languages : en
Pages : 374
Book Description
Smart cities operate under more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which led to the creation of smart enterprises and organizations that depend on advanced technologies. This book includes 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Chapters refer to the following areas of interest: vehicular traffic prediction, social big data analysis, smart city management, driving and routing, localization, safety, health, and life quality.
Publisher: MDPI
ISBN: 3039364375
Category : Technology & Engineering
Languages : en
Pages : 374
Book Description
Smart cities operate under more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which led to the creation of smart enterprises and organizations that depend on advanced technologies. This book includes 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Chapters refer to the following areas of interest: vehicular traffic prediction, social big data analysis, smart city management, driving and routing, localization, safety, health, and life quality.
Index to IEEE Publications
Author: Institute of Electrical and Electronics Engineers
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1468
Book Description
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1468
Book Description
Applied Mechanics Reviews
Author:
Publisher:
ISBN:
Category : Mechanics, Applied
Languages : en
Pages : 354
Book Description
Publisher:
ISBN:
Category : Mechanics, Applied
Languages : en
Pages : 354
Book Description
International Aerospace Abstracts
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 934
Book Description
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 934
Book Description
Gaussian Processes for Machine Learning
Author: Carl Edward Rasmussen
Publisher: MIT Press
ISBN: 026218253X
Category : Computers
Languages : en
Pages : 266
Book Description
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.
Publisher: MIT Press
ISBN: 026218253X
Category : Computers
Languages : en
Pages : 266
Book Description
A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.
Science Abstracts
Author:
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1990
Book Description
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1990
Book Description
Connected Health in Smart Cities
Author: Abdulmotaleb El Saddik
Publisher: Springer Nature
ISBN: 3030278441
Category : Medical
Languages : en
Pages : 262
Book Description
This book reports on the theoretical foundations, fundamental applications and latest advances in various aspects of connected services for health information systems. The twelve chapters highlight state-of-the-art approaches, methodologies and systems for the design, development, deployment and innovative use of multisensory systems and tools for health management in smart city ecosystems. They exploit technologies like deep learning, artificial intelligence, augmented and virtual reality, cyber physical systems and sensor networks. Presenting the latest developments, identifying remaining challenges, and outlining future research directions for sensing, computing, communications and security aspects of connected health systems, the book will mainly appeal to academic and industrial researchers in the areas of health information systems, smart cities, and augmented reality.
Publisher: Springer Nature
ISBN: 3030278441
Category : Medical
Languages : en
Pages : 262
Book Description
This book reports on the theoretical foundations, fundamental applications and latest advances in various aspects of connected services for health information systems. The twelve chapters highlight state-of-the-art approaches, methodologies and systems for the design, development, deployment and innovative use of multisensory systems and tools for health management in smart city ecosystems. They exploit technologies like deep learning, artificial intelligence, augmented and virtual reality, cyber physical systems and sensor networks. Presenting the latest developments, identifying remaining challenges, and outlining future research directions for sensing, computing, communications and security aspects of connected health systems, the book will mainly appeal to academic and industrial researchers in the areas of health information systems, smart cities, and augmented reality.