David A. Wood

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Machine Learning

Discriminant Analysis

Class Imbalance

Top Venues

Eng. Appl. Artif. Intell.

Earth Sci. Informatics

Expert Syst. Appl.

J. Comput. Methods Sci. Eng.

Publications

Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammed Al-Shargabi, Valeriy S. Rukavishnikov
Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern - a theoretical study. Expert Syst. Appl. 250 (2024)
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammad Reza Hajsaeedi, Valeriy S. Rukavishnikov
Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids. J. Ind. Inf. Integr. 41 (2024)
Sara Ghashghaei, David A. Wood, Erfan Sadatshojaei, Mansooreh Jalilpoor
Grayscale Image Statistical Attributes Effectively Distinguish the Severity of Lung Abnormalities in CT Scan Slices of COVID-19 Patients. SN Comput. Sci. 4 (2) (2023)
David A. Wood
Weekly carbon dioxide exchange trend predictions in deciduous broadleaf forests from site-specific influencing variables. Ecol. Informatics 75 (2023)
Shadfar Davoodi, Mohammad Mehrad, David A. Wood, Hamzeh Ghorbani, Valeriy S. Rukavishnikov
Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma
Deep ensemble learning for high-dimensional subsurface fluid flow modeling. Eng. Appl. Artif. Intell. 126 (2023)
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov
Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations. Appl. Soft Comput. 143 (2023)
Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma
Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset. Algorithms 16 (1) (2023)
Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov, Zhenxue Dai
Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites. Expert Syst. Appl. 222 (2023)
David A. Wood
Carbonate / siliciclastic lithofacies classification aided by well-log derivative, volatility and sequence boundary attributes combined with machine learning. Earth Sci. Informatics 15 (3) (2022)
Abouzar Choubineh, David A. Wood, Zahak Choubineh
Applying separately cost-sensitive learning and Fisher's discriminant analysis to address the class imbalance problem: A case study involving a virtual gas pipeline SCADA system. Int. J. Crit. Infrastructure Prot. 29 (2020)
Mohammad Sabah, Mohsen Talebkeikhah, David A. Wood, Rasool Khosravanian, Mohammad Anemangely, Alireza Younesi
A machine learning approach to predict drilling rate using petrophysical and mud logging data. Earth Sci. Informatics 12 (3) (2019)
David A. Wood
A critical-path focus for earned duration increases its sensitivity for project-duration monitoring and forecasting in deterministic, fuzzy and stochastic network analysis. J. Comput. Methods Sci. Eng. 18 (2) (2018)