Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Although the concept of using brain waves, e.g. Electroencephalogram (EEG), for personal identification has been validated in several studies, some unanswered practical and theoret...
Fei Su, Liwen Xia, Anni Cai, Yibing Wu, Junshui Ma
- Using a wireless sensor network, variety applications are being developed. In this paper, considering the field of military surveillance and reconnaissance sensors in the network...
Young Bag Moon, Nae Soo Kim, Cheol Sig Pyo, Keun W...
We describe our experiences with the process of designing a domain-specific language (DSL) and corresponding model transformations. The simultaneous development of the language an...
Marcel van Amstel, Mark van den Brand, Luc Engelen
In this paper we propose a novel and robust system for the automated identification of major sulci on cortical surfaces. Using multiscale representation and intrinsic surface mappi...
Yonggang Shi, Bo Sun, Rongjie Lai, Ivo D. Dinov, A...