Diasporic capital and the financialisation of housing in Ho Chi Minh City von Vo, Hung Dao

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Persistence criteria for populations with non-local dispersion von Berestycki, Henri, Coville, Jérôme, Vo, Hoang-Hung

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Application of artificial neural network for predicting the performance of CO2 enhanced oil recovery and storage in residual oil zones von Vo Thanh, Hung, Sugai, Yuichi, Sasaki, Kyuro

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Nonlocal dispersal equations in time-periodic media: Principal spectral theory, limiting properties and long-time dynamics von Shen, Zhongwei, Vo, Hoang-Hung

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A Deep Learning-Based Data-Driven Approach for Predicting Mining Water Inrush From Coal Seam Floor Using Microseismic Monitoring Data von Yin, Huichao, Zhang, Gaizhuo, Wu, Qiang, Yin, Shangxian, Soltanian, Mohamad Reza, Thanh, Hung Vo, Dai, Zhenxue

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Experimental study of moisture effects on spontaneous combustion of Baiyinhua lignite from individual particles to stockpile von Zhang, Hemeng, Wang, Yongjun, Zhang, Xiaoming, Sasaki, Kyuro, Sugai, Yuichi, Han, Fangwei, Dong, Wei, Vo Thanh, Hung

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Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers von Vo Thanh, Hung, Yasin, Qamar, Al-Mudhafar, Watheq J., Lee, Kang-Kun

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Examining the role of social media in California’s drought risk management in 2014 von Tang, Zhenghong, Zhang, Ligang, Xu, Fuhai, Vo, Hung

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Application of machine learning to predict CO2 trapping performance in deep saline aquifers von Vo Thanh, Hung, Lee, Kang-Kun

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Pyramid with Super Resolution for In-The-Wild Facial Expression Recognition von Vo, Thanh-Hung, Lee, Guee-Sang, Yang, Hyung-Jeong, Kim, Soo-Hyung

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Subsurface sedimentary structure identification using deep learning: A review von Zhan, Chuanjun, Dai, Zhenxue, Yang, Zhijie, Zhang, Xiaoying, Ma, Ziqi, Thanh, Hung Vo, Soltanian, Mohamad Reza

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Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects von Vo Thanh, Hung, Sheini Dashtgoli, Danial, Zhang, Hemeng, Min, Baehyun

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Recovering the historical distribution for nonlinear space-fractional diffusion equation with temporally dependent thermal conductivity in higher dimensional space von Khieu, Tran Thi, Vo, Hoang-Hung

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Exploring the power of machine learning to predict carbon dioxide trapping efficiency in saline aquifers for carbon geological storage project von Safaei-Farouji, Majid, Vo Thanh, Hung, Dai, Zhenxue, Mehbodniya, Abolfazl, Rahimi, Mohammad, Ashraf, Umar, Radwan, Ahmed E.

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Hybrid Approach for Early Warning of Mine Water: Energy Density-Based Identification of Water-Conducting Channels Combined With Water Inflow Prediction by SA-LSTM von Yang, Songlin, Lian, Huiqing, Soltanian, Mohamad Reza, Xu, Bin, Liu, Wei, Thanh, Hung Vo, Li, Yarui, Yin, Huichao, Dai, Zhenxue

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Liouville type result and long time behavior for Fisher-KPP equation with sign-changing and decaying potentials von Kim, Seonghak, Vo, Hoang-Hung

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Reservoir Quality Prediction of Gas-Bearing Carbonate Sediments in the Qadirpur Field: Insights from Advanced Machine Learning Approaches of SOM and Cluster Analysis von Rashid, Muhammad, Luo, Miao, Ashraf, Umar, Hussain, Wakeel, Ali, Nafees, Rahman, Nosheen, Hussain, Sartaj, Aleksandrovich Martyushev, Dmitriy, Vo Thanh, Hung, Anees, Aqsa

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Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations von Davoodi, Shadfar, Vo Thanh, Hung, Wood, David A., Mehrad, Mohammad, Rukavishnikov, Valeriy S.

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Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables von Davoodi, Shadfar, Vo Thanh, Hung, Wood, David A., Mehrad, Mohammad, Al-Shargabi, Mohammed, Rukavishnikov, Valeriy S.

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NEW RE-RANKING APPROACH IN MERGING SEARCH RESULTS von Vo, Hung Trung

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