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Работы, на которые ссылается эта работа

Работ: 77

Работа: Predictive modeling of oil rate for wells under gas lift using machine learning

  1. Building more accurate decision trees with the additive tree

    José Marcio Luna, Efstathios D. Gennatas, Lyle Ungar +7

    Статья2019Цитирований: 4
    ABI

  2. FSRF:An Improved Random Forest for Classification

    Wenxian Feng, Chenkai Ma, Guozhang Zhao +1

    Статья2020Цитирований: 4
    ABI

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

    Kai Qi, Hu Yang

    Статья2021Цитирований: 4
    ABI

  4. Prediction of the internal corrosion rate for oil and gas pipeline: Implementation of ensemble learning techniques

    Mohamed El Amine Ben Seghier, Daniel Höche, Mikhail L. Zheludkevich

    Статья2022Цитирований: 4
    ABI

  5. Waste glass powder as a high temperature stabilizer in blended oil well cement pastes: Hydration, microstructure and mechanical properties

    Tian Dai, Changliang Fang, Tianle Liu +3

    Статья2024Цитирований: 4
    ABI

  6. Extreme Learning Machine for Multilayer Perceptron

    Jiexiong Tang, Chenwei Deng, Guang-Bin Huang

    Статья2015Цитирований: 3
    ABI

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

    S. Kavitha, S. Varuna, R. Ramya

    Статья2016Цитирований: 3
    ABI

  8. Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran

    Mohammad Ali Ghorbani, Ravinesh C. Deo, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ +2

    Статья2017Цитирований: 3
    ABI

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

    Frank Emmert‐Streib, Matthias Dehmer

    Статья2019Цитирований: 3
    ABI

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

    Mohammad Rasheed Khan, Sami Alnuaim, Zeeshan Tariq +1

    Статья2019Цитирований: 3
    ABI

  11. Optimization of the Random Forest Algorithm

    Niva Mohapatra, K. Shreya, Ayes Chinmay

    Глава2020Цитирований: 3
    ABI

  12. LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer

    Jeonghyun Kang, Yoon Jung Choi, Im-kyung Kim +5

    Статья2020Цитирований: 3
    ABI

  13. Regularization in machine learning models for MVT Pb-Zn prospectivity mapping: applying lasso and elastic-net algorithms

    Mahsa Hajihosseinlou, Abbas Maghsoudi, Reza Ghezelbash

    Статья2024Цитирований: 3
    ABI

  14. A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior

    Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees +2

    Обзорная статья2024Цитирований: 2
    ABI

  15. Improvement on enhanced Monte-Carlo outlier detection method

    Liangxiao Zhang, Du Wang, Rongrong Gao +6

    Статья2015Цитирований: 2
    ABI

  16. Visual investigation of the effects of clay minerals on enhancement of oil recovery by low salinity water flooding

    Milad Jafari Barnaji, Peyman Pourafshary, Mohammad Reza Rasaie

    Статья2016Цитирований: 2
    ABI

  17. Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared

    Hamzeh Ghorbani, David A. Wood, Abouzar Choubineh +4

    Статья2018Цитирований: 2
    ABI

  18. Viscous fingering and its effect on areal sweep efficiency during waterflooding: an experimental study

    Zahra Kargozarfard, Masoud Riazi, Shahab Ayatollahi

    Статья2018Цитирований: 2
    ABI

  19. Oil and gas well rate estimation by choke formula: semi-analytical approach

    Mohammad Ali Kargarpour

    Статья2019Цитирований: 2
    ABI

  20. Screening of enhanced oil recovery techniques for Iranian oil reservoirs using TOPSIS algorithm

    Mohsen Khojastehmehr, Mohammad Madani, Amin Daryasafar

    Статья2019Цитирований: 2
    ABI

  21. Progress in Outlier Detection Techniques: A Survey

    Hongzhi Wang, Mohamed Jaward Bah, Mohamed Hammad

    Статья2019Цитирований: 2
    ABI

  22. Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques

    Pronab Ghosh, Sami Azam, Mirjam Jonkman +6

    Статья2021Цитирований: 2
    ABI

  23. A novel method for automatic quantification of different pore types in shale based on SEM-EDS calibration

    Zhentao Dong, Shansi Tian, Haitao Xue +5

    Статья2024Цитирований: 2
    ABI

  24. Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines

    Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh +1

    Статья2025Цитирований: 2
    ABI

  25. Explainable artificial intelligence models for estimating the heat capacity of deep eutectic solvents

    Saad Alatefi, Okorie Ekwe Agwu, Menad Nait Amar +1

    Статья2025Цитирований: 2
    ABI