Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
In this work, by using the local node refinement technique purposed in [2, 1], and a quad-tree type algorithm [3, 13], we built a global refinement technique for Kansa's unsy...
To address coordination and complexity issues, we formulate a grid task allocation problem as a bargaining based self-adaptive auction and propose the BarSAA grid task-bundle alloc...
Abstract—Resizable caches can trade-off capacity for access speed to dynamically match the needs of the workload. In Simultaneous Multi-Threaded (SMT) cores, the caching needs ca...
This paper presents an analysis and system-level design of a capacitive harvester of vibration energy composed from a mechanical resonator, capacitive transducer and a conditioning...
Dimitri Galayko, Philippe Basset, Ayyaz Mahmood Pa...