Well log data generation and imputation using sequence based generative adversarial networks
Abdulrahman Al‐Fakih(King Fahd University of Petroleum and Minerals), SanLinn I. Kaka(King Fahd University of Petroleum and Minerals), Tapan Mukerji(Environmental and Water Resources Engineering), Sadam Al-Azani(King Fahd University of Petroleum and Minerals), Ardiansyah Koeshidayatullah(King Fahd University of Petroleum and Minerals)
Cited by 31
Related Papers
Using Word Embedding and Ensemble Learning for Highly Imbalanced Data Sentiment Analysis in Short Arabic Text
|Procedia Computer Science|2017|141
Hybrid Deep Learning for Sentiment Polarity Determination of Arabic Microblogs
|Lecture notes in computer science|2017|69
Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review
|Process Safety and Environmental Protection|2018|63
Emojis-Based Sentiment Classification of Arabic Microblogs Using Deep Recurrent Neural Networks
|Unknown|2018|41
FaciesViT: Vision transformer for an improved core lithofacies prediction
|Frontiers in Earth Science|2022|40