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Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning data-driven, highly represen...

The book of practices of the subject of Fundamentals of Telematics offers students the first approach to computer networks in the degrees of Telematics Engineering and Telecommunication Systems Engineering. For this, thi...

"The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availabil...

Many networks of interest in the sciences, including social networks, computer networks, and metabolic and regulatory networks, are found to divide naturally into communities or modules. The problem of detecting and char...

A number of recent studies have focused on the statistical properties of networked systems such as social networks and the Worldwide Web. Researchers have concentrated particularly on a few properties that seem to be com...

We propose and study a set of algorithms for discovering community structure in networks-natural divisions of network nodes into densely connected subgroups. Our algorithms all share two definitive features: first, they ...

The Internet has a very complex connectivity recently modeled by the class of scale-free networks. This feature, which appears to be very efficient for a communications network, favors at the same time the spreading of c...

Many networks display community structure--groups of vertices within which connections are dense but between which they are sparser--and sensitive computer algorithms have in recent years been developed for detecting thi...

Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains ...

Complex networks describe a wide range of systems in nature and society. Frequently cited examples include the cell, a network of chemicals linked by chemical reactions, and the Internet, a network of routers and compute...

In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural networks on recommender systems has recei...

Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a n...

List of Boxes List of Tables and Figures Foreword Acknowledgments 1. Defining Content Analysis Is Content Analysis Easy? Is It Something That Anyone Can Do? A Six-Part Definition of Content Analysis 2. Milestones in the ...

Fachgebiete / Stichwörter: Computer networks; Management; Electronic books

Fachgebiete / Stichwörter: Computer networks; Security measures; Internet; Computer security; Electronic books

Fachgebiete / Stichwörter: Computer networks; Information networks; Network analysis (Planning)

Fachgebiete / Stichwörter: Computer networks; Security measures; Cryptography; Data protection; Electronic surveillance; Information technology; Social aspects

Fachgebiete / Stichwörter: Computer networks; Wireless communication systems; Telematics; Electronic books

Fachgebiete / Stichwörter: Computer networks; Security measures; Computer security; Electronic books

Fachgebiete / Stichwörter: Computer networks; Computer network architectures; Electronic books

Fachgebiete / Stichwörter: Computer networks; Laboratory manual; Problems, exercises, etc; TCP/IP (Computer network protocol); Intranets (Computer networks); Electronic books

Fachgebiete / Stichwörter: Computer networks; Law and legislation; Computer security; Libel and slander

Fachgebiete / Stichwörter: Computer networks; Management; Planning; Electronic books

Fachgebiete / Stichwörter: Computer networks