Comprehensive, accurately labeled sensor datasets are an essential prerequisite for training supervised machine learning models used for tasks such as ...
auch als Online-Publikation verfügbar
Fair and secure voting is a cornerstone of democracies and, at the same time, one of the most challenging government processes. Thus, government services ...
auch als Online-Publikation verfügbar
The digitization of manufacturing processes opens up the possibility of data-driven quality predictions based on machine learning (ML) methods, also known ...
auch als Online-Publikation verfügbar
The number of Blockchain (BC) platforms developed since the proposal of Bitcoin in 2009 continues to increase as the price of their underlying cryptocurrencies ...
auch als Online-Publikation verfügbar
Many real-world problems can be described by using discrete or hybrid stochastic systems. Modeling and simulation of such systems is possible, if they ...
auch als Online-Publikation verfügbar
The monograph consists of 11 Chapters and Apendixes A, B, and C. The text begins with an introduction to the authors’ creation, where the reasons for ...
auch als Online-Publikation verfügbar
Artificial neural networks are dominating a vast majority of application scenarios to date, and will surely extend their lead in the near future. Especially, ...
auch als Online-Publikation verfügbar
Distributed Denial-of-Service (DDoS) attacks are one of the major causes of concerns for communication service providers. When an attack is highly sophisticated ...
auch als Online-Publikation verfügbar
The basic Principles of Programming will be presented based on C. This is the most popular language used for Business and Science. ...
auch als Online-Publikation verfügbar
Networks on Chip (NoCs) constitute a communication paradigm that scales both in performance and size and is thus suited for chips with 64 or more processor ...
auch als Online-Publikation verfügbar
|