Network Programming with Perl is a comprehensive, example-rich guide to creating network-based applications using the Perl programming language. Among its many capabilities, modern Perl provides a straightforward and powerful interface to TCP/IP, an
For the programmer familiar with the C# language, this book will provide an understanding of the general concepts of networking, information about network programming in .NET with C#, and skills to build network-based applications in .NET.
The main goal of vehicle navigation systems is to determine the optimal routing path for achieving the least travel time and exhausted gasoline. Most navigation systems use the static shortest path routing algorithm or use optional traffic informati
This book presents novel approaches for the statistical analysis of microarray data. All these methods share the common theme to be network based meaning that not single genes but groups of interacting genes are considered to be important.
Network Programming with Perl is a comprehensive, example-rich guide to creating network-based applications using the Perl programming language. Among its many capabilities, modern Perl provides a straightforward and powerful interface to TCP/IP, an
Learn about this open-source vulnerability scanner, how to get the most out of the tool, recognize its limitations and how to deal with them, and what makes it flexible to perform a wide range of network-based operations
Neural-network-based output-feedback adaptive dynamic surface control for a class of stochastic nonlinear time-delay systems with unknown control directions
This paper investigates the problem of network-based Floc, output feedback control for a class of stochastic nonlinear systems. A novel model is proposed to describe the systems taken into two sides of communication channels in the network environmen
Visible light positioning becomes popular recently. However, its performance is degraded by the indoor diffuse optical channel. An artificial neural-network-based visible light positioning algorithm is proposed in this Letter, and a trained neural ne
