computer science

computer science

In the 21st century, in which the use of information sources and automation processes is being researched, computer science is constantly doing pioneering work. The teaching of systematic information processing offers a larger spectrum of knowledge than a simple collection and evaluation of data. The different sub-areas not only cover an analytical-logical approach, but also technical and social areas are explored with it. Do you want to develop your abilities into skills, evaluate data meaningfully or write a program that makes your work easier? Then you are exactly right here. Take a look at the book and see for yourself - with every publication you will find a free reading sample to read and download. Would you like to draw on our experienced support for the publication of one of your manuscripts? Then feel free to contact us.

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The book begins with an introduction to the methodological and conceptual foundations of organic computing that is understandable for readers of all disciplines. The interdisciplinary research initiative refers to the biological paradigm of self-organized information processing in organic systems. Even the simplest biological organisms show specific phenomenal characteristics, such as goal orientation and adaptability, the scientific explanation of which within the theory of dynamic systems should enable the development of organically structured information technology. However, there is an explanatory gap...


The reconstruction of 3D scene models from arbitrary video sequences is a central task of computer vision. Applications range from the autonomous navigation of robots to the acquisition of 3D models for the entertainment industry. Typical approaches identify and track landmarks in the images as a first step and then recover the geometry in a separate, second step. This book instead focuses on a combination of the two steps. By embedding the novel, combined method in a model-based mathematical framework,...