[HTML][HTML] Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges
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 …
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
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 …
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
The interaction of hydrogen in shale gas formations holds significant interest for long-term
subsurface hydrogen storage. Accurately and rapidly predicting hydrogen adsorption in …
subsurface hydrogen storage. Accurately and rapidly predicting hydrogen adsorption in …
RNN-based CO2 minimum miscibility pressure (MMP) estimation for EOR and CCUS applications
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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
changes in the location of the dry band, salt deposit density, humidity, non-uniform pollution …