Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Samson Dawit Bekele
Observed names:
Bekele, Samson Dawit,
S. D. Bekele,
S.D. Bekele
Institution:
Al-Farabi Kazakh National University
Observed institutions:
Al-Farabi Kazakh National University,
Satbayev University,
Joldasbekov Institute of Mechanics and Engineering
ORCID:
0009-0005-9719-4343
Observed ORCID:
0009-0005-9719-4343
OpenAlex ID:
A5026390827
Coupled pressure and saturation prediction for two-phase flow in porous media using physics-informed neural networks (PINNs)
2025
·
Yerzhan Kenzhebek
, Timur Imankulov
, et al.
·
Computer Methods in Applied Mechanics and Engineering
·
22
Development of an Intelligent Video Surveillance System Based on YOLO Algorithm
2024
·
Nurtugan Azatbekuly
, Aksultan Mukhanbet
, et al.
·
IEEE International Conference on Smart Information Systems and Technologies (SIST)
·
15
Enhancing Oil Recovery Predictions by Leveraging Polymer Flooding Simulations and Machine Learning Models on a Large-Scale Synthetic Dataset
2024
·
Timur Imankulov
, Yerzhan Kenzhebek
, et al.
·
Energies
·
6
Development and Evaluation of an Intelligent Control System for Sustainable and Efficient Energy Management
2023
·
Bibars Amangeldy
, Nurdaulet Tasmurzayev
, et al.
·
WSEAS TRANSACTIONS ON ELECTRONICS
·
6
PDF
A Systematic Analysis of Physics-Informed Neural Networks for Two-Phase Flow with Capillarity: The Muskat–Leverett Problem
2025
·
Timur Imankulov
, Alibek Kuljabekov
, et al.
·
Applied Sciences
·
5
PDF
Performance and stability of physics-informed Kolmogorov-Arnold networks for two-phase transport in porous media: A comparative study with physics-informed neural networks
2025
·
Timur Imankulov
, Yerzhan Kenzhebek
, et al.
·
Results in Engineering
·
2
On the Effectiveness of Kolmogorov—Arnold Networks for Enhanced Oil Recovery Prediction in Polymer Flooding
2024
·
Samson Dawit Bekele
, Yerzhan Kenzhebek
, et al.
·
International Conference on Algorithms, Computing and Artificial Intelligence (ACAI)
·
2
Development of an Intelligent Oil Field Management System based on Digital Twin and Machine Learning
2023
·
Nurdaulet Tasmurzayev
, Bibars Amangeldy
, et al.
·
WSEAS TRANSACTIONS ON ELECTRONICS
·
2
PDF
Digital Twin-based Hvac Control for Smart Building Management and Sustainability
2023
·
Nurdaulet Tasmurzayev
, Bibars Amangeldy
, et al.
·
Journal of problem in computer science and information technologies
·
2
Intelligent Control System for Efficient Energy Management in the Oil and Gas Industry
2023
·
Nurdaulet Tasmurzayev
, Bibars Amangeldy
, et al.
·
IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
·
1
Separating Artificial-Viscosity Annealing from the L-BFGS Viscosity in Physics-Informed Neural Networks for Two-Phase Flow
2026
·
Saltanbek Mukhambetzhanov
, Yerzhan Kenzhebek
, et al.
·
Big Data and Cognitive Computing
Identifiability and Conditioning of Flux-Parameter Inversion for the Buckley–Leverett Equation
2026
·
Samson Dawit Bekele
, Yerzhan Kenzhebek
, et al.
·
Mathematics
Artificial-viscosity schedules for Buckley–Leverett PINNs: code and reproducibility archive
2026
·
Mukhambetzhanov, Saltanbek
, Kenzhebek, Yerzhan
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Physics-Informed Neural Networks for Coupled Non-Isothermal Two-Phase Flow in Porous Media: Training Pathologies, Remedies, and the Role of Gradient Conflict
2026
·
Yerzhan Kenzhebek
, Timur Imankulov
, et al.
·
Machine Learning and Knowledge Extraction
Reference dataset and MRST simulation script for "Entropy-Satisfying Physics-Informed Neural Networks for the Two-Dimensional Buckley–Leverett Equation"
2026
·
Imankulov, Timur
, Kenzhebek, Yerzhan
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Predicting oil recovery factor using dense and cascade neural networks
2024
·
S. D. Bekele
, S. Aibagarov
, et al.
·
Bulletin of the National Engineering Academy of the Republic of Kazakhstan
PDF
Development of a Comprehensive Software Solution for Processing High-sulfur, Copper-poor Concentrates in the Copper Smelting Industry
2024
·
B. K. Kenzhaliyev
, S. Zh. Aibagarov
, et al.
·
Bulletin of Shakarim University Technical Sciences
PDF
Intelligent Control System for Efficient Energy Management in the Oil and Gas Industry
2023
·
Bibars Amangeldy
, Nurdaulet Tasmurzayev
, et al.
·
International Conference on Sustainable Technology and Engineering (i-COSTE)
Smart control system for optimal energy use in the oil and gas sector
2023
·
N.M. Tasmurzayev
, Sh.Z. Shinassylov
, et al.
PDF
Show more works
View as search
Works count:
19
Citation count:
63
H-index:
5
I10-index:
2
Year
Topic
Type