The interval discrimination task is a classical experimental paradigm that is employed to study working memory and decision making and typically involves four phases. First, the s...
—Distributed computing systems often strive to decouple their communicating components (threads on a single node, or nodes in a network) from each other with respect to time, spa...
Abstract. The paradigms of service-oriented computing and modeldriven development are becoming of increasing importance in the field of software engineering. According to these par...
Natallia Kokash, Christian Krause, Erik P. de Vink
Event-driven programming is used in many fields of modern Computer Science. In event-driven programming languages user interacts with a program by triggering the events. We propo...
Recent research advances in Peer-to-Peer (P2P) computing have enabled the P2P paradigm to be used for developing complex applications beyond file sharing and data storage. These ...