  Detection of diverse mould species growing on building materials by gas sensor arrays and pattern recognition; ; Romain, Anne-Claude  et alin Sensors and actuators. B, Chemical (2006), 119(1), 33-40 This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array. Four moulds species have been considered. Pattern classification provides detection ... [more ▼] This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array. Four moulds species have been considered. Pattern classification provides detection rates on the order of 80-85% for different species. Drift degrades only slightly these values subsequent test 4 months later. [less ▲] Detailed reference viewed: 32 (11 ULg)Fuzzy k-NN applied to moulds detection; ; Romain, Anne-Claude et alin Sensors and actuators. B, Chemical (2005), 106(1), 52-60 The possibility to detect Aspergillus versicolor growing on different building materials by a metal oxide sensor array is studied. Results show that an accurate classification rate of 89 +/- 3% can be ... [more ▼] The possibility to detect Aspergillus versicolor growing on different building materials by a metal oxide sensor array is studied. Results show that an accurate classification rate of 89 +/- 3% can be obtained combining an extended linear discriminant analysis plus a fuzzy k-NN classifier. The classification ability of the classifier is assessed within the dataset by crossvalidation and also in a second dataset collected 5 months later. There is a slight decrease in the classification performance for all the algorithms, being the most sensitive the most accurate one. [less ▲] Detailed reference viewed: 60 (40 ULg)Detection of moulds growing on building materials by gas sensor arrays and pattern recognition; ; Romain, Anne-Claude et alin Technical digest of eurosensors : proceedings (2004) This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array Four mould species have been considered. Pattern Classification provides ... [more ▼] This work explores the detection of moulds growing in different building materials by using a metal oxide sensor array Four mould species have been considered. Pattern Classification provides classification rates on the order of 80-90% for different species. Drift degrades slightyl these values subsequent test four months later. [less ▲] Detailed reference viewed: 29 (3 ULg)Fuzzy K-NN applied to moulds detection; ; Nicolas, Jacques et alin Proceedings of ISOEN'03 (2003, June) The possibility to detect Aspergillus versicolor growing on different building materials by a metal oxide sensor array is studied. Results show that an accurate classification rate of 89 +/- 3% can be ... [more ▼] The possibility to detect Aspergillus versicolor growing on different building materials by a metal oxide sensor array is studied. Results show that an accurate classification rate of 89 +/- 3% can be obtained combining an extended linear discriminant analysis plus a fuzzy k-NN classifier. The classification ability of the classifier is assessed within the dataset by crossvalidation and also in a second dataset collected 5 months later. There is a slight decrease in the classification performance for all the algorithms, being the most sensitive the most accurate one. [less ▲] Detailed reference viewed: 17 (1 ULg) |
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