Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
We developed a software tool for pre-operative simulation and planning, and intra-operative guidance, of minimally invasive tumor ablation, including radiofrequency-, laser- and cr...
Torsten Butz, Simon K. Warfield, Kemal Tuncali, St...
This paper describes how two runtime analysis algorithms, an existing data race detection algorithm and a new deadlock detection algorithm, have been implemented to analyze Java pr...
In this paper, we present a joint scheduling of hard deadline periodic and soft deadline aperiodic tasks in dynamic-priority systems. The proposed algorithm has extended the fixed...