Polymer selection for SAW sensor array based electronic noses by fuzzy c-means clustering of partition coefficients: Model studies on detection of freshness and spoilage of milk and fish

Title
Polymer selection for SAW sensor array based electronic noses by fuzzy c-means clustering of partition coefficients: Model studies on detection of freshness and spoilage of milk and fish
Authors
Keywords
SAW sensor array, Electronic nose, Polymer selection, Fuzzy , c, -means clustering, Freshness and spoilage detection of milk and fish
Journal
SENSORS AND ACTUATORS B-CHEMICAL
Volume 209, Issue -, Pages 751-769
Publisher
Elsevier BV
Online
2014-12-16
DOI
10.1016/j.snb.2014.11.149

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started