Publications
Article · IEEE Access · January 1, 2026
Deep Learning Approaches for Autoregressive Fracture Network Path Prediction: A Comprehensive Study on the Teapot Dome Dataset
Bakytzhan Kurmanbek, Timur Merembayev, Перизат Омарова, Yerlan Amanbek
Hydraulic Fracturing and Reservoir AnalysisGroundwater flow and contamination studiesNeural Networks and Applicationsfracture networksautoregressive modelsdeep learning
More by Timur Merembayev
- Reliable Learning-Enabled Multi-Robot Coverage with Masked Entity-Attention MAPPO: A Controlled Multi-Seed StudyAI · 2026
- COMPARATIVE EVALUATION OF SEMANTIC SEGMENTATION MODELS FOR CRACK DETECTIONScientific Journal of Astana IT University · 2026
- Mathematical Modeling to Optimize Sensor Performance for Enhanced Sensitivity and Measurement Accuracy in a Biogas PlantPreprints.org · 2026
- Numerical modeling and forecasting of water overflow through dams on the Syrdarya riverOpen Engineering · 2026
