This work proposes a theoretical guideline in the specific area of Frequent Itemset Mining (FIM). It supports the hypothesis that the use of neural network technology for the prob...
We have designed an adaptive analogue VLSI neuromorphic chip that will be used to interface MEM wind sensors to an insectinspired robot. The main chip components are a sensory inte...
Y. Zhang, A. Hamilton, R. Cheung, B. Webb, P. Argy...
The paper is devoted to finding a view on business processes that helps to introduce into business process support systems a notion of shared spaces widely used in social software....
One of the challenges in development of embedded systems is to cope with hardware and software components simultaneously. Often is their integration cumbersome due to their incomp...
In this paper, the Fuzzy Min-Max (FMM) neural network along with two modified FMM models are used for tackling medical diagnostic problems. The original FMM network establishes hyp...