[HTML][HTML] Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges

M Azeem, S Javaid, RA Khalil, H Fahim, T Althobaiti… - Bioengineering, 2023 - mdpi.com
Artificial neural networks (ANNs) ability to learn, correct errors, and transform a large amount
of raw data into beneficial medical decisions for treatment and care has increased in …

Predicting minimum miscible pressure in pure CO2 flooding using machine learning: Method comparison and sensitivity analysis

HF Al-Khafaji, Q Meng, W Hussain, RK Mohammed… - Fuel, 2023 - Elsevier
CO 2 injection for enhanced oil recovery (EOR) is widely recognized as an efficient
technique for carbon capture, utilization, and storage (CCUS). This operation has a …

Data-driven modeling to predict adsorption of hydrogen on shale kerogen: Implication for underground hydrogen storage

S Kalam, M Arif, A Raza, N Lashari… - International Journal of …, 2023 - Elsevier
The interaction of hydrogen in shale gas formations holds significant interest for long-term
subsurface hydrogen storage. Accurately and rapidly predicting hydrogen adsorption in …

RNN-based CO2 minimum miscibility pressure (MMP) estimation for EOR and CCUS applications

E Mohammadian, M Mohamadi-Baghmolaei, R Azin… - Fuel, 2024 - Elsevier
Accurate estimation of minimum miscibility pressure (MMP) is crucial for assessing the
efficiency of most miscible and immiscible processes, specifically CO 2-based enhanced oil …

[HTML][HTML] Application of machine learning to predict of energy use efficiency and damage assessment of almond and walnut production

MS Beni, MG Parashkoohi, B Beheshti… - Environmental and …, 2023 - Elsevier
A study was conducted in Shahrekord city, Iran, focusing on improving the production of
almond and walnut crops on rural agricultural lands. The gardeners selected for the study …

Utilizing Artificial Intelligence Techniques for Modeling Minimum Miscibility Pressure in Carbon Capture and Utilization Processes: A Comprehensive Review and …

MN Amar, H Djema, K Ourabah, FM Alqahtani… - Energy & …, 2024 - ACS Publications
The carbon dioxide (CO2) based enhanced oil recovery methods (EORs) are considered
among the promising techniques for increasing the recovery factor from mature oil reservoirs …

[HTML][HTML] A Review of Predictive Analytics Models in the Oil and Gas Industries

PA R Azmi, M Yusoff, MT Mohd Sallehud-din - Sensors, 2024 - mdpi.com
Enhancing the management and monitoring of oil and gas processes demands the
development of precise predictive analytic techniques. Over the past two years, oil and its …

Performance Prediction and Heating Parameter Optimization of Organic-Rich Shale In Situ Conversion Based on Numerical Simulation and Artificial Intelligence …

Y Liu, C Yao, B Liu, Y Xuan, X Du - ACS omega, 2024 - ACS Publications
In situ conversion technology is a green and effective way to realize the development of
organic-rich shale. Supercritical CO2 can be used as a good heating medium for shale in …

Preparation of activated carbon from Entada Africana Guill. & Perr for CO2 capture: Artificial neural network and isotherm modeling

Z Khoshraftar, A Ghaemi - Journal of Chemical and Petroleum …, 2022 - jchpe.ut.ac.ir
Recent concerns about the greenhouse effect and climate change have been prominent
worldwide. In this study, a single-step KOH activation was used to prepare Entada porous …

Flashover voltage of porcelain insulator under various pollution distributions: Experiment and modeling

AA Salem, KY Lau, Z Abdul-Malek, SA Al-Gailani… - Electric Power Systems …, 2022 - Elsevier
The current work investigates the flashover voltage of an 11 kV porcelain insulator against
changes in the location of the dry band, salt deposit density, humidity, non-uniform pollution …