Journal Article10.1016/J.DYEPIG.2021.109492
Fluorescent sensor array for high-precision pH classification with machine learning-supported mobile devices
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TL;DR: A fluorescent array based on a KIz system for accurate pH level classification is developed and a 3D-printed enclosure is designed to capture the fluorescence pattern changes of the array by using an intelligent, smartphone-based, handheld pH detection system.
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About: This article is published in Dyes and Pigments. The article was published on 01 Sep 2021. The article focuses on the topics: Sensor array.
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Citations
Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence
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TL;DR: In this article , the authors summarize recent progress in mobile health platforms, including the aspects of microfluidic chips, imaging modalities, supporting components, and the development of software algorithms.
Computer vision meets microfluidics: a label-free method for high-throughput cell analysis
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TL;DR: The use of microelectromechanical devices in combination with microfluidic chips and computer vision could enable the development of label-free, automatic, low-cost, and fast cellular information recognition and the high-throughput analysis of cellular responses to different compounds, for broad applications in fields such as drug discovery, diagnostics, and personalized medicine.
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Machine learning based urinary pH sensing using polyaniline deposited paper device and integration of smart web app interface: Theory to application.
TL;DR: In this paper , the authors employed density functional theory-based first principle calculation to investigate the electron transport properties of polyaniline following exposure to acidic and alkaline pH, and used the impedimetric responses of the sensor to predict urine pH through a machine learning based smart and interactive web application.
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Facile and highly precise pH-value estimation using common pH paper based on machine learning techniques and supported mobile devices
TL;DR: In this paper , a simple, flexible, and free precise mobile application based on a machine learning algorithm to predict the accurate pH value of a solution using an available commercial pH paper was developed and enables the highly precise estimation of the pH value as a function of the RGB color code of typical pH paper.
Highly Accurate pH Detection for Sweat Analysis by Printed 96‐Microwell Colorimetric Sensor Array
Yui Sasaki,Xiaojun Lyu,T. Minami +2 more
- 19 Nov 2022
TL;DR: In this paper , a facile 96-microwell paper-based colorimetric sensor array (PCSAD) was used for pH detection toward sweat analysis, and the color gradients on the PCSAD upon changing pH conditions were rapidly recorded by a flatbed scanner.
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References
Random Forests
Leo Breiman
- 01 Oct 2001
TL;DR: Internal estimates monitor error, strength, and correlation and these are used to show the response to increasing the number of features used in the forest, and are also applicable to regression.
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