In contrast to traditional terascale simulations that have known, fixed data inputs, dynamic data-driven (DDD) applications are characterized by unknown data and informed by dynam...
Volkan Akcelik, George Biros, Andrei Draganescu, J...
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
: Over time, large scale pickup and delivery providers acquire considerable amounts of data on customer orders, including order times, amount and configurations of freight, as well...
We present a case study concerning the development of a driving simulator at Mitsubishi Electric Research Laboratories. By relying largely on off-the-shelf components, we have kep...
A number of problems are well suited for volumetric representation for both simulation and storage, however, the large amount of data that needs to be processed and rendered with ...
Shigeru Muraki, Eric B. Lum, Kwan-Liu Ma, Masato O...