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Иш: Machine learning frameworks to accurately compute CO2 capture in porous liquids

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
Studying the effect of surfactant assisted low-salinity water flooding on clay-rich sandstones
Saeed Khezerloo‐ye Aghdam, Alireza Kazemi, Mohammad Ahmadi
Мақола20238 иқтибос
ABI
Fast Monte Carlo reliability evaluation using support vector machine
Claudio M. Rocco, José Alı́ Moreno
Мақола20027 иқтибос
ABI
Long‐Term Capturability of Atmospheric Water on a Global Scale
Fangfang Li, H. F. Lü, Guang‐Qian Wang +1
Мақола20246 иқтибос
ABI
Highly efficient and regenerable amine-impregnated adsorbents: Mechanistic insights into glycerol modification for enhanced direct air capture
Feng Yan, Heijin Chen, Tong Chi +5
Мақола20256 иқтибос
ABI
Convolutional neural networks
Walter Hugo Lopez Pinaya, Sandra Vieira, Rafael Garcia‐Dias +1
Боб20196 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
CO<sub>2</sub> photo-reduction: insights into CO<sub>2</sub> activation and reaction on surfaces of photocatalysts
Xiaoxia Chang, Tuo Wang, Jinlong Gong
Мақола20165 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
Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
M.W Gardner, Stephen Dorling
Мақола19984 иқтибос
ABI
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
Мақола20044 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
Adsorbent Materials for Carbon Dioxide Capture from Large Anthropogenic Point Sources
Sunho Choi, Jeffrey H. Drese, Christopher W. Jones
Шарҳ мақола20094 иқтибос
ABI
Prediction of CO2 solubility in ionic liquids using machine learning methods
Zhen Song, Huaiwei Shi, Xiang Zhang +1
Мақола20203 иқтибос
ABI