Further, we develop 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. The common light conditions were studied under …

Jan 1, 2023 · Combining predictive modelling and experimental pH adjustment, we present an active machine learning (ML)-driven closed-loop optimization strategy for automating small scale batch pH adjustment relevant for complex samples (e.g., formulated products in …

Abstract: This study investigates machine learning-based methods to measure the pH level accurately while using in-expensive equipment. The colorimetric method is employed to determine the pH level of a solution, which is achieved through a pH …

Feb 15, 2025 · Elsenety et al. [12] aimed to utilize machine learning techniques and supported mobile devices for predicting the pH values of solutions using universal pH paper. They developed a free mobile application that employs machine learning models to …

3 days ago · a, Enzyme pH opt and pH env are used to train various machine learning methods with different sequence representations. For each method, up to 200 model instances are trained with varying ...

Feb 4, 2025 · In this study, we developed a model incorporating multiple color spaces using images of universal pH test strips. For model selection, we focused on localized errors and used the mean absolute error for each pH value as an evaluation metric.

Apr 11, 2025 · Using clincalc.com, we ran the statistical analysis with the following parameters: G-power=85%, alpha=0.05, beta=0.2 for the thirteen variables. With accuracy value as the primary evaluation parameter, the study mainly aimed to compare the algorithm’s and support vector machine’s performance.

To this end, this study demonstrates the use of machine learning with mango leaf extract as a colorimetric indicator to achieve accurate and cost-effective pH estimation for aquaculture practices. Mango leaf was utilized as the pH indicator, covering a range from 1 to 13.

2 days ago · The present work describes a novel methodology of pH sensing through integration of hydrogel-based sensors with machine learning algorithms. pH-sensitive dye-impregnated hydrogel sensors have been fabricated using three-Dimensional (3D) printing technology, whereby colorimetric data analysis is combined with five machine learning models, namely ...

This article explains the initial attempts to explore the pH scale identification using machine learning algorithms. Section 4 concludes by classifying the pH s of machine learning algorithms in an effort to offer a better solution.