Работы, на которые ссылается эта работа

Работ: 63

Работа: Reliable estimation via hybrid gradient boosting machine for mud loss volume in drilling operations

Machine learning-based estimation of nano-lubricants viscosity in different operating conditions
Amin Bemani, Mohammad Madani, Alireza Kazemi
Статья2023Цитирований: 25
ABI
Modeling apparent viscosity of waxy crude oils doped with polymeric wax inhibitors
Mohammad Madani, Mostafa Keshavarz Moraveji, Mohammad Sharifi
Статья2020Цитирований: 20
ABI
Modeling subcritical multi-phase flow through surface chokes with new production parameters
Peyman Abbasi, Saeed Khezerloo‐ye Aghdam, Mohammad Madani
Статья2022Цитирований: 20
ABI
Gas-oil gravity drainage mechanism in fractured oil reservoirs: surrogate model development and sensitivity analysis
Mohammad Madani, Marzieh Alipour
Статья2022Цитирований: 17
ABI
A new model for predicting asphaltene precipitation of diluted crude oil by implementing LSSVM-CSA algorithm
Seyed Mojtaba Bassir, Mohammad Madani
Статья2019Цитирований: 11
ABI
Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data
Junliang Fan, Xin Ma, Lifeng Wu +3
Статья2019Цитирований: 9
ABI
Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables
Gi-Wook Cha, Hyeun-Jun Moon, Young‐Chan Kim
Статья2021Цитирований: 9
ABI
Anomaly Network Intrusion Detection Based on Improved Self Adaptive Bayesian Algorithm
Dewan Md. Farid, Mohammad Zahidur Rahman
Статья2009Цитирований: 8
ABI
Autonomous Organic Synthesis for Redox Flow Batteries via Flexible Batch Bayesian Optimization
Clara Tamura, Heather Job, Henry Chang +3
Препринт2025Цитирований: 8
ABI
Predicting asphaltene precipitation during titration of diluted crude oil with paraffin using artificial neural network (ANN)
Seyed Mojtaba Bassir, Mohammad Madani
Статья2019Цитирований: 7
ABI
Theoretical and numerical methods for predicting the structural stiffness of unbonded flexible riser for deep-sea mining under axial tension and internal pressure
Haibo Sun, Yingying Wang, Lusheng Jia +2
Статья2024Цитирований: 7
ABI
Modeling of CO<sub>2</sub>-brine interfacial tension: Application to enhanced oil recovery
Mohammad Madani, Peyman Abbasi, Alireza Baghban +2
Статья2017Цитирований: 7
ABI
Evolution strategies – A comprehensive introduction
Hans-Georg Beyer, Hans–Paul Schwefel
Статья2002Цитирований: 7
ABI
An empirical study about the usefulness of evolution strategies to solve constrained optimization problems
Efrén Mezura‐Montes, Carlos A. Coello Coello
Статья2008Цитирований: 7
ABI
Improved naive Bayesian probability classifier in predictions of nuclear mass
Yifan Liu, Su Chen, Jian Liu +3
Статья2021Цитирований: 7
ABI
Modeling thermal-induced wellhead growth through the lifecycle of a well
Hao Yu, Zhaoyang Zhao, Arash Dahi Taleghani +2
Статья2024Цитирований: 6
ABI
Gradient Boosting Machine
V Kishore Ayyadevara
Глава2018Цитирований: 6
ABI
Evolution Strategies
Nikolaus Hansen, Dirk V. Arnold, Anne Auger
Глава2015Цитирований: 6
ABI
Modeling n-alkane solubility in supercritical CO2 via intelligent methods
Reza Songolzadeh, Khalil Shahbazi, Mohammad Madani
Статья2020Цитирований: 6
ABI
Nanoparticles in drilling fluid: A review of the state-of-the-art
Goshtasp Cheraghian
Обзорная статья2021Цитирований: 6
ABI
A Robust Approach for Estimation of the Bone Age
Hamzeh Ghorbani, Parvin Ghorbani, Simin Ghorbani +3
Статья2022Цитирований: 5
ABI
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel
Changyong Oh, Roberto Bondesan, Efstratios Gavves +1
Препринт2021Цитирований: 5
ABI
Enhancement of polymeric water-based drilling fluid properties using nanoparticles
Amirhossein Parizad, Khalil Shahbazi, Abbas Ayatizadeh Tanha
Статья2018Цитирований: 5
ABI
Improving the Estimation of Coronary Artery Disease by Classification Machine Learning Algorithm
Hamzeh Ghorbani, Alla Krasnikova, Parvin Ghorbani +7
Статья2023Цитирований: 4
ABI
Multiple predicting <i>K</i> -fold cross-validation for model selection
Yoonsuh Jung
Статья2017Цитирований: 4
ABI