Corpus-based approaches and statistical approaches have been the main stream of natural language processing research for the past two decades. Language resources play a key role i...
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
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...
In this paper two areas of soft computing (fuzzy modeling and artificial neural networks) are discussed. Based on the fundamental mathematical similarity of fuzzy technique and ra...
For systems where exact constitutive relations are unknown, a microscopic level description can be alternatively used. As microscopic simulations are computationally expensive, th...