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Иш: Estimating solubility of nitrogen in various ionic liquids: application of machine-learning

Machine learning-based estimation of nano-lubricants viscosity in different operating conditions
Amin Bemani, Mohammad Madani, Alireza Kazemi
Мақола202325 иқтибос
ABI
Mechanistic assessment of Seidlitzia Rosmarinus-derived surfactant for restraining shale hydration: A comprehensive experimental investigation
Saeed Khezerloo‐ye Aghdam, Aghil Moslemizadeh, Mohammad Madani +3
Мақола201915 иқтибос
ABI
A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning
Malti Bansal, Apoorva Goyal, Apoorva Choudhary
Мақола202210 иқтибос
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
Мақола20199 иқтибос
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
Мақола20219 иқтибос
ABI
Сарлавҳасиз
Бошқа9 иқтибос
ABI
Decision tree-based diagnosis of coronary artery disease: CART model
Mohammad M. Ghiasi, Sohrab Zendehboudi, Ali Asghar Mohsenipour
Мақола20208 иқтибос
ABI
Predicting asphaltene precipitation during titration of diluted crude oil with paraffin using artificial neural network (ANN)
Seyed Mojtaba Bassir, Mohammad Madani
Мақола20197 иқтибос
ABI
Fast Monte Carlo reliability evaluation using support vector machine
Claudio M. Rocco, José Alı́ Moreno
Мақола20027 иқтибос
ABI
Soil ecological stoichiometry synchronously regulates stream nitrogen and phosphorus concentrations and ratios
Ji Liu, Yi Wang, Yong Li +9
Мақола20236 иқтибос
ABI
Gradient Boosting Machine
V Kishore Ayyadevara
Боб20186 иқтибос
ABI
Modeling of signal-response cascades using decision tree analysis
Sampsa Hautaniemi, Sourabh Kharait, Akihiro Iwabu +2
Мақола20056 иқтибос
ABI
Intelligent interpolation by Monte Carlo machine learning
Yongna Jia, Siwei Yu, Jianwei Ma
Мақола20176 иқтибос
ABI
On the evaluation of the viscosity of nanofluid systems: Modeling and data assessment
Abdolhossein Hemmati‐Sarapardeh, Amir Varamesh, Maen M. Husein +1
Мақола20175 иқтибос
ABI
Gradient boosting machine for modeling the energy consumption of commercial buildings
Samir Touzani, Jessica Granderson, Samuel Fernandes
Мақола20175 иқтибос
ABI
A comparative analysis of gradient boosting algorithms
Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz
Мақола20205 иқтибос
ABI
Forecasting PVT properties of crude oil systems based on support vector machines modeling scheme
Emad A. El-Sebakhy
Мақола20085 иқтибос
ABI
Accurate prediction of nanofluid viscosity using a multilayer perceptron artificial neural network (MLP-ANN)
Elham Heidari, Mohammad Amin Sobati, Salman Movahedirad
Мақола20165 иқтибос
ABI
Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality
Kai Qi, Hu Yang
Мақола20214 иқтибос
ABI
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
Мақола20194 иқтибос
ABI
Linear regression
Thomas M.H. Hope
Боб20194 иқтибос
ABI
Current State of Application of Machine Learning for Investigation of MgO-C Refractories: A Review
Sebastian Sado, Ilona Jastrzębska, W Zelik +1
Шарҳ мақола20234 иқтибос
ABI
Prediction of viscosity of water-based Al2O3, TiO2, SiO2, and CuO nanofluids using a reliable approach
Mahdi Kalantari Meybodi, Saeed Naseri, Amin Shokrollahi +1
Мақола20154 иқтибос
ABI
Estimating the Heat Capacity of Non-Newtonian Ionanofluid Systems Using ANN, ANFIS, and SGB Tree Algorithms
Reza Daneshfar, Amin Bemani, Masoud Hadipoor +4
Мақола20203 иқтибос
ABI
Green processing using ionic liquids and CO2
Lynnette A. Blanchard, Dan Hâncu, Eric J. Beckman +1
Мақола19993 иқтибос
ABI