- This paper describes a new architectural paradigm for fully connected, single-hop system level interconnection networks. The architecture is scalable enough to meet the needs of ...
Kelli Ireland, Donald M. Chiarulli, Steven P. Levi...
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...
Embedded wireless networks have largely focused on openloop sensing and monitoring. To address actuation in closedloop wireless control systems there is a strong need to re-think ...
A data warehouse collects and integrates data from multiple, autonomous, heterogeneous, sources. The warehouse e ectively maintains one or more materialized views over the source ...
Janet L. Wiener, Himanshu Gupta, Wilburt Labio, Yu...
of modelling abstractions to map from items in the real-world to objects in the computational domain is oth for the effective implementation of abstract problem solutions and for ...
Mariusz Nowostawski, Geoff Bush, Martin K. Purvis,...