Deep learning in CO2 geological utilization and storage: Recent advances and perspectives

Y Wang, H Chu, X Lyu - Advances in Geo-Energy Research, 2024 - yandy-ager.com
Deep learning has been widely recognized in the field of CO2 geological utilization and
storage applications. With the development of deep learning algorithms, intelligent models …

[HTML][HTML] Direct Air Capture (DAC) for Achieving Net-Zero CO2 Emissions: Advances, Applications, and Challenges

G Li, J Yao - Eng, 2024 - mdpi.com
Carbon dioxide (CO2), as the primary greenhouse gas, has significant impacts on global
climate change, leading to severe and irreversible adverse consequences for ecosystems …

Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making

CM Rebello, IBR Nogueira - Separation and Purification Technology, 2024 - Elsevier
This study presents a methodology for surrogate optimization of cyclic adsorption processes,
focusing on enhancing pressure swing adsorption units for carbon dioxide (CO 2) capture …

Role of Fluid Dynamics in Infectious Disease Transmission: Insights from COVID-19 and Other Pathogens

S Koley - Trends in Sciences, 2024 - tis.wu.ac.th
The spread of infectious diseases such as COVID-19 depends on complex fluid dynamics
interactions between pathogens and fluid phases, including individual droplets and …

Patent Analysis in the Realm of Machine Learning in Manufacturing

M Akkalender, H Yalçın - Sosyal Bilimler Metinleri, 2024 - dergipark.org.tr
Patent analysis reveals a surge in machine learning for manufacturing since 1980, hinting at
its potential beyond traditional applications. This study explores this trend through three key …

[引用][C] Optimizing Distribution with Russell Approximation, Least Cost, and Stepping Stone Methods: A Comprehensive Review

SW Astuti, R Zainul - ARITMETIKA, 2024