e-Book Series in Computer Science

Theoretical Computer Science:
This is devoted to the recognized core areas forming the basis of computer science, and covering many different fields. Contributions are typically distinguished by an emphasis on mathematical background techniques, but quite often with significant impact on practical applications and systems. In short, contributions that illustrate the value of fundamental research for applications are especially welcome. The list of topics includes (but is not limited to):
  • algorithms and data structures, including sequential, parallel, distributed, approximation, and number-theoretic algorithms
  • automata theory and languages
  • complexity theory, both computational and structural
  • discrete mathematics related to computer science
  • grammars and formal models
  • mathematical and statistical techniques in software engineering
  • program semantics, logic, and verification
Networks & Security:
This area focuses on a variety of topics related to information security. First, the area of interest concerns cryptographic algorithms, protocols, and their implementation. Second, it is devoted to architectures and protocols for communication networks, with special focus on security issues. In this context, an area of growing interest is formed by traffic analysis and privacy enhancing technologies. Lastly, the track looks at issues in computer security and, in particular, trusted computing and application software security. The list of topics includes (but is not limited to):
cryptographic algorithms and protocols
  • network security
  • privacy enhancing technologies
  • software security
  • traffic analysis
Nature-inspired Computing:
This is devoted to standard algorithms running on standard computers, but inspired by the behaviour of processes taking place in nature, such as artificial neural networks exploring computational concepts related to some characteristics of the brain, or evolutionary genetic algorithms inspired by biological evolution. Today such areas are well-considered, with useful applications to optimization, machine learning and control; properties of hybrid artificial models are explored and intriguing experiments on hybrid networks are proposed, in which living neurons interact with digital model neurons. Moreover, this area deals with algorithms that are based on ”primitive procedures” or data given to us by Nature, such as quantum or DNA computing.  The list of topics includes (but is not limited to):
  • ant colony optimization
  • artificial immune system
  • neural networks
  • quantum computing
  • bioinformatics
  • DNA computing
  • evolutionary computation
  • hybrid models -- neural, fuzzy, or genetic
  • membrane computing
  • swarm intelligence
Web Intelligence:
This is devoted to different aspects of the World Wide Web, but primarily to methods and algorithms for building, mining, weaving, and using it, as well as to methods and languages for representing and organizing it, including Semantic Web.  The list of topics includes (but is not limited to):
  • convergence of educational standards and the Semantic Web
  • data mining and machine learning for intelligent information retrieval, classification and personalization
  • design, composition and management of Web services
  • information content and navigation adaptation
  • rough set and chaotic theory applications 
  • information recommendation and filtering
  • intelligent information retrieval
  • model-driven development of Web applications
  • novel browsing and navigational paradigms
  • user modelling methods and techniques
  • web-based collaboration and social networks

e-Book Series in Appicable Mathematics

This e-Book series publishes e-monographs,  lecture notes, workshop proceedings and collection of chapters focusing on applications of mathematics in aerospace, information and communications, materials, energy and environment, imaging, biology and biotechnology, life sciences, and finance.


Series Indices: