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RESEARCH PAPER · Scientific Reports · 2022

Facile and highly precise pH-value estimation using common pH paper based on machine learning techniques and supported mobile devices

Mohamed M. Elsenety, Mahmoud Basseem I. Mohamed, Mohamed E. Sultan, Badr A. Elsayed

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17 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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Facile and highly precise pH-value estimation using common pH paper based on machine learning techniques and supported mobile devicesOriginalSmart IoT-Enabled pH Strip Reader for Simple and Accurate Analysis of Cervical Mucous pH0Passivation Engineering Using Ultrahydrophobic Donor–π–Acceptor Organic Dye with Machine Learning Insights for Efficient and Stable Perovskite Solar Cells19Integrating Machine Learning and Color Chemistry: Developing a High-School Curriculum toward Real-World Problem-Solving18Intelligent Machine Learning Modelling for Soil Analysis and pH Prediction3Smartphone‐Embedded Artificial Intelligence‐Based Regression for Colorimetric Quantification of Multiple Analytes with a Microfluidic Paper‐Based Analytical Device in Synthetic Tears21Machine Learning and Colorimetric Method Based pH Detecting System0Smartphone-based pH titration for liquid food applications1Design and predict the potential of imidazole-based organic dyes in dye-sensitized solar cells using fingerprint machine learning and supported by a web application11Smartphone based app development with machine learning using Hibiscus sabdariffa L. extract for pH estimation5Assessment of hazardous trace metals and associated health risk as affected by feed intake in buffalo milk11Prediction of Water Quality’s pH value using Random Forest and LightGBM Algorithms4Optimization and Scalability of Polymer‐Modified PSCs Investigated by Machine Learning4Development of a Fast Universal Ph Paper Value Predictor Using Computer Vision and Random Forest0High-accuracy machine learning–based colorimetric pH quantification using a custom-built portable strip-imaging device and smartphone application2Integration of Computer Vision and Machine Learning for Automated pH Prediction1OcupHI: knowledge-driven colorimetric interpretation framework for high-precision real-time ocular pH diagnostics0Reusable pH Test Strip for Extremely Acidic pH Detection0

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17 direct citing papers saved.

  1. Smart IoT-Enabled pH Strip Reader for Simple and Accurate Analysis of Cervical Mucous pH

    Atlantis Highlights in Computer Sciences/Atlantis highlights in computer sciences · 2023-01-01

    Nitya Rajan, S. Muhila, Pranay Parikh, Anish Raj Arisetty

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  2. Passivation Engineering Using Ultrahydrophobic Donor–π–Acceptor Organic Dye with Machine Learning Insights for Efficient and Stable Perovskite Solar Cells

    Solar RRL · 2023-03-01

    Mohamed M. Elsenety, Eleftherios Christopoulos, Polycarpos Falaras

    Read original paper ↗ ·

  3. Integrating Machine Learning and Color Chemistry: Developing a High-School Curriculum toward Real-World Problem-Solving

    Journal of Chemical Education · 2023-12-07

    Shiyan Jiang, Jeanne McClure, Hongjing Mao, Jiahui Chen, Yunshu Liu, Yang Zhang

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  4. Intelligent Machine Learning Modelling for Soil Analysis and pH Prediction

    International Conference on Circuit, Power and Computing Technologies · 2024-08-08

    Janmejay Pant, Hitesh Kumar Pant, Ashutosh Kumar Bhatt, Durgesh Pant, Jaishankar Bhatt

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  5. Smartphone‐Embedded Artificial Intelligence‐Based Regression for Colorimetric Quantification of Multiple Analytes with a Microfluidic Paper‐Based Analytical Device in Synthetic Tears

    Advanced Intelligent Systems · 2024-08-18

    Meliha Baştürk, Elif Yüzer, Mustafa Şen, Volkan Kılıç

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  6. Machine Learning and Colorimetric Method Based pH Detecting System

    International Conference on Robotics and Computer Vision (ICRCV) · 2024-09-20

    Yuzhe Wang, Craig A. Evans, Zhang Li, Farah Mahdi Al-Sallami

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  7. Smartphone-based pH titration for liquid food applications

    Chemical Papers · 2024-09-28

    Yuhui Xiao, Yaqiu Huang, Junhong Qiu, Honghao Cai, Hui Ni

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  8. Design and predict the potential of imidazole-based organic dyes in dye-sensitized solar cells using fingerprint machine learning and supported by a web application

    Scientific Reports · 2024-11-03

    Mohamed M. Elsenety

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  9. Smartphone based app development with machine learning using Hibiscus sabdariffa L. extract for pH estimation

    Chemometrics and Intelligent Laboratory Systems · 2025-01-05

    Ömer Faruk Aydın, Merve Aydın, Melisa Caliskan Demir, Sibel Kahraman

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  10. Assessment of hazardous trace metals and associated health risk as affected by feed intake in buffalo milk

    Scientific Reports · 2025-03-21

    Samun Shahzad, Kamran Ashraf, Nusrat Ehsan, Khawar Sultan, Asim Abbasi, Sobia Tabassum, Amina Muzamil, Nazih Yacer Rebouh, Qamar uz Zaman

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  11. Prediction of Water Quality’s pH value using Random Forest and LightGBM Algorithms

    Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi · 2025-03-28

    İbrahim Budak

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  12. Optimization and Scalability of Polymer‐Modified PSCs Investigated by Machine Learning

    Applied Research · 2025-04-01

    Mohamed M. Elsenety, Christos Falaras, Elias Stathatos, Yunjuan Niu, Linhua Hu

    Read original paper ↗ ·

  13. Development of a Fast Universal Ph Paper Value Predictor Using Computer Vision and Random Forest

    International Conference on Electronics Representation and Algorithm (ICERA) · 2025-06-12

    Maulana Fakih Latief, Yaya Heryadi, Ilvico Sonata, Abba Suganda Girsang, Lili Ayu Wulandhari

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  14. High-accuracy machine learning–based colorimetric pH quantification using a custom-built portable strip-imaging device and smartphone application

    Microchimica Acta · 2025-11-25

    Ece Minel Bursalı, Mehmet Akif Özdemir, Mustafa Şen

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  15. Integration of Computer Vision and Machine Learning for Automated pH Prediction

    Applied Sciences · 2026-05-06

    In-Seong Jeon, SukJae Joshua Kang, SukJae Joshua Kang, Chan-Woung Jeong, S K Kim, Seong-Joo Kang, Seong-Joo Kang

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  16. OcupHI: knowledge-driven colorimetric interpretation framework for high-precision real-time ocular pH diagnostics

    Emergent Materials · 2026-08-01

    Bimsara Sandaruwan Kahandawala, H.H.P.B. Sandaruwan, Pavanee Liyanage, Rohan Suranga Dassanayake, Narahenpitage Pabakara Costha, Renuka N. Liyanage, Udaya Wijenayake, Ruchire Eranga Wijesinghe, Bhagya Nathali Silva, Danushika Charyangi Manatunga

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  17. Reusable pH Test Strip for Extremely Acidic pH Detection

    Analytical Chemistry · 2026-08-13

    Haitao Sun, Li Zhang, Siliang Zhang, Haiyi Chen, Jianyu Lin, Xing Liu, Chao Han, Jun Hua Luo

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