Hung Vo Thanh

According to our database, Hung Vo Thanh authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Optimized neural networks for efficient modeling of crude oil production.

Ahmed A. Ewees, Mohammed A. A. Al-qaness, Hung Vo Thanh, Ayman Mutahar AlRassas, Mohamed E. Abd Elaziz

Knowl. Inf. Syst., July, 2025

2024

Unraveling Overlying Rock Fracturing Evolvement for Mining Water Inflow Channel Prediction: A Spatiotemporal Analysis Using ConvLSTM Image Reconstruction.

Huichao Yin, Gaizhuo Zhang, Qiang Wu, Fangpeng Cui, Bicheng Yan, Shangxian Yin, Mohamad Reza Soltanian, Hung Vo Thanh, Zhenxue Dai

IEEE Trans. Geosci. Remote. Sens., 2024

Hybrid Approach for Early Warning of Mine Water: Energy Density-Based Identification of Water-Conducting Channels Combined With Water Inflow Prediction by SA-LSTM.

Songlin Yang, Huiqing Lian, Mohamad Reza Soltanian, Bin Xu, Wei Liu, Hung Vo Thanh, Yarui Li, Huichao Yin, Zhenxue Dai

IEEE Trans. Geosci. Remote. Sens., 2024

Combined deep-learning optimization predictive models for determining carbon dioxide solubility in ionic liquids.

Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammad Reza Hajsaeedi, Valeriy S. Rukavishnikov

J. Ind. Inf. Integr., 2024

Machine learning insights to CO2-EOR and storage simulations through a five-spot pattern - a theoretical study.

Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Mohammed Al-Shargabi, Valeriy S. Rukavishnikov

Expert Syst. Appl., 2024

2023

Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations.

Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov

Appl. Soft Comput., August, 2023

Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites.

Shadfar Davoodi, Hung Vo Thanh, David A. Wood, Mohammad Mehrad, Valeriy S. Rukavishnikov, Zhenxue Dai

Expert Syst. Appl., July, 2023

A Deep Learning-Based Data-Driven Approach for Predicting Mining Water Inrush From Coal Seam Floor Using Microseismic Monitoring Data.

Huichao Yin, Gaizhuo Zhang, Qiang Wu, Shangxian Yin, Mohamad Reza Soltanian, Hung Vo Thanh, Zhenxue Dai

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Evaluating the Applications of Dendritic Neuron Model with Metaheuristic Optimization Algorithms for Crude-Oil-Production Forecasting.

Mohammed Abdulaziz Aide Al-qaness, Ahmed A. Ewees, Laith Abualigah, Ayman Mutahar AlRassas, Hung Vo Thanh, Mohamed Abd Elaziz

Entropy, November, 2022