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Работы, на которые ссылается эта работа

Работ: 45

Работа: Hybrid gradient boosting machine for precise prediction of biomass net output power in terms of proximate analysis

  1. Machine learning-based estimation of nano-lubricants viscosity in different operating conditions

    Amin Bemani, Mohammad Madani, Alireza Kazemi

    Статья2023Цитирований: 25
    ABI

  2. Modeling apparent viscosity of waxy crude oils doped with polymeric wax inhibitors

    Mohammad Madani, Mostafa Keshavarz Moraveji, Mohammad Sharifi

    Статья2020Цитирований: 20
    ABI

  3. Modeling subcritical multi-phase flow through surface chokes with new production parameters

    Peyman Abbasi, Saeed Khezerloo‐ye Aghdam, Mohammad Madani

    Статья2022Цитирований: 20
    ABI

  4. Gas-oil gravity drainage mechanism in fractured oil reservoirs: surrogate model development and sensitivity analysis

    Mohammad Madani, Marzieh Alipour

    Статья2022Цитирований: 17
    ABI

  5. Deterministic tools to predict gas assisted gravity drainage recovery factor

    Maryam Hasanzadeh, Mohammad Madani

    Статья2023Цитирований: 12
    ABI

  6. A new model for predicting asphaltene precipitation of diluted crude oil by implementing LSSVM-CSA algorithm

    Seyed Mojtaba Bassir, Mohammad Madani

    Статья2019Цитирований: 11
    ABI

  7. Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm

    Dewan Md. Farid, Mohammad Zahidur Rahman

    Статья2009Цитирований: 8
    ABI

  8. Autonomous Organic Synthesis for Redox Flow Batteries via Flexible Batch Bayesian Optimization

    Clara Tamura, Heather Job, Henry Chang +3

    Препринт2025Цитирований: 8
    ABI

  9. Modeling of CO<sub>2</sub>-brine interfacial tension: Application to enhanced oil recovery

    Mohammad Madani, Peyman Abbasi, Alireza Baghban +2

    Статья2017Цитирований: 7
    ABI

  10. Evolution strategies – A comprehensive introduction

    Hans-Georg Beyer, Hans–Paul Schwefel

    Статья2002Цитирований: 7
    ABI

  11. An empirical study about the usefulness of evolution strategies to solve constrained optimization problems

    Efrén Mezura‐Montes, Carlos A. Coello Coello

    Статья2008Цитирований: 7
    ABI

  12. Improved naive Bayesian probability classifier in predictions of nuclear mass

    Yifan Liu, Su Chen, Jian Liu +3

    Статья2021Цитирований: 7
    ABI

  13. Evolution Strategies

    Nikolaus Hansen, Dirk V. Arnold, Anne Auger

    Глава2015Цитирований: 6
    ABI

  14. Development and process simulation of a biomass driven SOFC-based electricity and ammonia production plant using green hydrogen; AI-based machine learning-assisted tri-objective optimization

    Zhenlan Dou, Zihua Ye, Chunyan Zhang +1

    Статья2025Цитирований: 5
    ABI

  15. Enhancing beef tallow flavor through enzymatic hydrolysis: Unveiling key aroma precursors and volatile compounds using machine learning

    Xiaofeng Xiang, Kai Wang, Fuwei Wang +4

    Статья2025Цитирований: 5
    ABI

  16. Batch Bayesian optimization via adaptive local search

    Jingfei Liu, Chao Jiang, Jing Zheng

    Статья2020Цитирований: 5
    ABI

  17. Classification Model Evaluation Metrics

    Željko Vujović

    Статья2021Цитирований: 5
    ABI

  18. A systematic resilience assessment framework for multi-state systems based on physics-informed neural network

    Yuxuan He, Enrico Zio, Zhaoming Yang +7

    Статья2025Цитирований: 5
    ABI

  19. Estimation of adsorption capacity of CO2, CH4, and their binary mixtures in Quidam shale using LSSVM: Application in CO2 enhanced shale gas recovery and CO2 storage

    Amin Bemani, Alireza Baghban, Amir H. Mohammadi +1

    Статья2020Цитирований: 5
    ABI

  20. A review of biomass gasification modelling

    Sahar Safarian, Rúnar Unnþórsson, Christiaan Richter

    Обзорная статья2019Цитирований: 4
    ABI

  21. Ac/dc conductivity and ML-based evaluation of electric characteristics of methylene blue solution

    Chandan R. Vaja, V. A. Rana, Sanketsinh Thakor +1

    Статья2024Цитирований: 4
    ABI

  22. Catalytic cracking of biomass tar for hydrogen-rich gas production: Parameter optimization using response surface methodology combined with deterministic finite automaton

    Xueqin Li, Peng Liu, Zhiwei Wang +4

    Статья2025Цитирований: 3
    ABI

  23. An improved constraint-based Bayesian network learning method using Gaussian kernel probability density estimator

    Yaling Jiang, Zizhen Liang, Hui Gao +4

    Статья2018Цитирований: 3
    ABI

  24. Credit scoring based on tree-enhanced gradient boosting decision trees

    Wanan Liu, Hong Fan, Meng Xia

    Статья2021Цитирований: 2
    ABI

  25. Artificial neural network modelling approach for a biomass gasification process in fixed bed gasifiers

    Robert Mikulandrić, Dražen Lončar, Dorith Böhning +2

    Статья2014Цитирований: 2
    ABI