Maximizing the Accuracy of Continuous Quantification Measures Using Discrete PackTest Products with Deep Learning and Pseudocolor Imaging
Using the standard colors provided in the instructions, PackTest products can approximate and quickly estimate the chemical characteristics of liquid samples. The combination of PackTest products and deep learning was examined for its accuracy and precision in quantifying chemical oxygen demand, amm...
Saved in:
Main Author: | Ryoichi Doi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
|
Series: | Journal of Analytical Methods in Chemistry |
Online Access: | http://dx.doi.org/10.1155/2019/1685382 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
From Maximization to Optimization: A Paradigm Shift in Rice Production in Thailand to Improve Overall Quality of Life of Stakeholders
by: Ryoichi Doi, et al.
Published: (2014-01-01) -
MRI-Based Quantification of Magnetic Susceptibility in Gel Phantoms: Assessment of Measurement and Calculation Accuracy
by: Emma Olsson, et al.
Published: (2018-01-01) -
Hydraulic tests of a random helical packing element
by: Nikolai D. Gubanov, Dmitrii V. Medvedev, Georgii V. Bozhenkov
Published: (2019-08-01) -
Joint quantification of transmission dynamics and diagnostic accuracy applied to influenza
by: Hiroshi Nishiura
Published: (2010-12-01) -
Photocatalytic Active Coatings for Lignin Degradation in a Continuous Packed Bed Reactor
by: Colin Awungacha Lekelefac, et al.
Published: (2014-01-01)