Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions.
The paper presents a research that supported real applicability of (4 different, as shown in section EN Systems) Electronic Nose systems. The groups had been researching in the theory of artificial olfaction and with the work reported in this paper we reach a critical waypoint in making all this work useful to the real world using a set of commercial sensors and artificial intelligence data processing techniques. The impact factor of the journal is 2.331.
Citation : Boilot, P. et al. (2003) Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions. Sensors and Actuators B Chemical, 88(1), pp. 80-88.
ISSN : 0925-4005
Research Group : Centre for Computational Intelligence
Research Institute : Institute of Artificial Intelligence (IAI)