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Maximizing the Accuracy of Continuous Quantification Measures Using Discrete PackTest Products with Deep Learning and Pseudocolor Imaging
المؤلف
المصدر
Journal of Analytical Methods in Chemistry
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-04-09
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
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, ammonium ion, and phosphate ion using a pseudocolor imaging method.
Each PackTest product underwent reactions with standard solutions.
The generated color was scanner-read.
From the color image, ten grayscale images representing the intensity values of red, green, blue, cyan, magenta, yellow, key black, and L∗, and the values of a∗ and b∗ were generated.
Using the grayscale images representing the red, green, and blue intensity values, 73 other grayscale images were generated.
The grayscale intensity values were used to prepare datasets for the ten and 83 (=10 + 73) images.
For both datasets, chemical oxygen demand quantification was successful, resulting in values of normalized mean absolute error of less than 0.4% and coefficients of determination that were greater than 0.9996.
However, the quantification of ammonium and phosphate ions commonly provided false positive results for the standard solution that contained no ammonium ion/phosphate ion.
For ammonium ion, multiple regression markedly improved the accuracy using the pseudocolor method.
Phosphate ion quantification was also improved by avoiding the use of an estimated value for the reference solution that contained no phosphate ion.
Real details of the measurements and the perspectives were discussed.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Doi, Ryoichi. 2019. Maximizing the Accuracy of Continuous Quantification Measures Using Discrete PackTest Products with Deep Learning and Pseudocolor Imaging. Journal of Analytical Methods in Chemistry،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169035
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Doi, Ryoichi. Maximizing the Accuracy of Continuous Quantification Measures Using Discrete PackTest Products with Deep Learning and Pseudocolor Imaging. Journal of Analytical Methods in Chemistry No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1169035
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Doi, Ryoichi. Maximizing the Accuracy of Continuous Quantification Measures Using Discrete PackTest Products with Deep Learning and Pseudocolor Imaging. Journal of Analytical Methods in Chemistry. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1169035
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1169035
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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