Amanote Research
Register
Sign In
Improvement of Classification Accuracy in Smell Detection Using Electronic Noses
doi 10.22215/etd/2004-05952
Full Text
Open PDF
Abstract
Available in
full text
Date
Unknown
Authors
Hong Chen
Publisher
Carleton University
Related search
Decompositive Classification Models for Electronic Noses
Analytica Chimica Acta
Biochemistry
Environmental Chemistry
Analytical Chemistry
Spectroscopy
The Noses Have It: Murine Brain Development Starts With a Smell
Lab Animal
Animal Science
Zoology
Veterinary
An Electronic Architecture for Multipurpose Artificial Noses
Journal of Sensors
Control
Systems Engineering
Instrumentation
Electrical
Electronic Engineering
‘Electronic Noses’ and Their Application to Food
LWT - Food Science and Technology
Food Science
Improving Classification Accuracy Using Clustering Technique
Bulletin of Electrical Engineering and Informatics
Control
Systems Engineering
Information Systems
Electronic Engineering
Instrumentation
Computer Networks
Hardware
Communications
Optimization
Electrical
Computer Science
Architecture
The BP Neural Network for Improvement of Classification Accuracy in Remote Sensing Image
International Journal of Environmental Protection and Policy
Multidisciplinary Applications of Electronic Noses to Monitor Environment and Health
Advances in Bioengineering and Biomedical Science Research
Electronic Noses and Tongues to Assess Food Authenticity and Adulteration
Trends in Food Science and Technology
Biotechnology
Food Science
Study on Interference Suppression Algorithms for Electronic Noses: A Review
Sensors
Instrumentation
Information Systems
Electronic Engineering
Biochemistry
Analytical Chemistry
Molecular Physics,
Electrical
Atomic
Medicine
Optics