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Работы, на которые ссылается эта работа

Работ: 88

Работа: Developing rigorous machine learning models to accurately estimate pesticide photodegradation by ZnO-based photocatalysts in water

  1. Comparison of linearization methods for modeling the Langmuir adsorption isotherm

    Xuan Guo, Jianlong Wang

    Статья2019Цитирований: 5
    ABI

  2. Gradient boosting machine for modeling the energy consumption of commercial buildings

    Samir Touzani, Jessica Granderson, Samuel Fernandes

    Статья2017Цитирований: 5
    ABI

  3. Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review

    Alessia Sarica, Antonio Cerasa, Aldo Quattrone

    Обзорная статья2017Цитирований: 5
    ABI

  4. An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine

    Altyeb Taha, Sharaf J. Malebary

    Статья2020Цитирований: 5
    ABI

  5. W18O49/ZnIn2S4 S-Scheme photocatalyst with full-spectrum response for efficient H2O2 production

    Lingling Li, Kai Zheng, Zong‐Jun Li +1

    Статья2025Цитирований: 4
    ABI

  6. A photovoltaic powered ocean-based electrochemical system produces highly oxidizing active substances for simultaneous removal of antibiotics and heavy metals from mariculture wastewater

    Yanzhuang Liu, Changfei Gao, Lifen Liu +2

    Статья2025Цитирований: 4
    ABI

  7. Chemical Pesticides and Human Health: The Urgent Need for a New Concept in Agriculture

    P. Nicolopoulou‐Stamati, Sotirios Maipas, Chrysanthi Kotampasi +2

    Обзорная статья2016Цитирований: 4
    ABI

  8. FSRF:An Improved Random Forest for Classification

    Wenxian Feng, Chenkai Ma, Guozhang Zhao +1

    Статья2020Цитирований: 4
    ABI

  9. Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality

    Kai Qi, Hu Yang

    Статья2021Цитирований: 4
    ABI

  10. MRD parameters using immunophenotypic detection methods are highly reliable in predicting survival in acute myeloid leukaemia

    N Feller, M.A. van der Pol, Amber van Stijn +5

    Статья2004Цитирований: 4
    ABI

  11. A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide

    Jie Chen, Kees de Hoogh, John Gulliver +19

    Статья2019Цитирований: 4
    ABI

  12. Linear regression

    Thomas M.H. Hope

    Глава2019Цитирований: 4
    ABI

  13. Current State of Application of Machine Learning for Investigation of MgO-C Refractories: A Review

    Sebastian Sado, Ilona Jastrzębska, W Zelik +1

    Обзорная статья2023Цитирований: 4
    ABI

  14. Connectionist approaches for solubility prediction of n-alkanes in supercritical carbon dioxide

    Amin Daryasafar, Navid Daryasafar, Mohammad Madani +2

    Статья2016Цитирований: 4
    ABI

  15. A comparative analysis on linear regression and support vector regression

    S. Kavitha, S. Varuna, R. Ramya

    Статья2016Цитирований: 3
    ABI

  16. High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection

    Frank Emmert‐Streib, Matthias Dehmer

    Статья2019Цитирований: 3
    ABI

  17. Machine Learning Application for Oil Rate Prediction in Artificial Gas Lift Wells

    Mohammad Rasheed Khan, Sami Alnuaim, Zeeshan Tariq +1

    Статья2019Цитирований: 3
    ABI

  18. CdS decorated artificial leaf BiVO4/InVO4 for photocatalytic hydrogen production and simultaneous degradation of biological hydrogen production wastewater

    Yingying Fan, Ruijie Yang, Rongshu Zhu +1

    Статья2020Цитирований: 3
    ABI

  19. K-Nearest Neighbors

    Oliver Krämer

    Глава2013Цитирований: 3
    ABI

  20. The Generalized LASSO

    Volker Röth

    Статья2004Цитирований: 3
    ABI

  21. White-box regression (elastic net) modeling of earth pressure balance shield machine advance rate

    Soroush Mokhtari, William Navidi, Michael A. Mooney

    Статья2020Цитирований: 3
    ABI

  22. Ridge Regression: A Historical Context

    Roger W. Hoerl

    Статья2020Цитирований: 3
    ABI

  23. Treatment and Prevention of Stuck Pipe Based on Artificial Neural Networks Analysis

    Qi Zhu

    Статья2022Цитирований: 3
    ABI

  24. Prediction of heating and cooling loads based on light gradient boosting machine algorithms

    Jiaxin Guo, Sining Yun, Yao Meng +5

    Статья2023Цитирований: 3
    ABI

  25. Evaluation of CatBoost Method for Predicting Weekly Pan Evaporation in Subtropical and Sub-Humid Regions

    Dinesh Kumar Vishwakarma, Pankaj Kumar, Krishna Kumar Yadav +8

    Статья2024Цитирований: 3
    ABI