A systematic literature review of deep learning neural network for time series air quality forecasting
Rapid progress of industrial development, urbanization and traffic has caused air quality
reduction that negatively affects human health and environmental sustainability, especially …
reduction that negatively affects human health and environmental sustainability, especially …
Hybrid Smart Strategies to Predict Amine Thermal Degradation in Industrial CO2 Capture Processes
A Azarpour, S Zendehboudi - ACS omega, 2023 - ACS Publications
CO2 emission reduction is an essential step to achieve the climate change targets. Solvent-
based post-combustion CO2 capture (PCC) processes are efficient to be retrofitted to the …
based post-combustion CO2 capture (PCC) processes are efficient to be retrofitted to the …
[HTML][HTML] Application of machine learning models to improve the prediction of pesticide photodegradation in water by ZnO-based photocatalysts
Pesticide pollution has been posing a significant risk to human and ecosystems, and
photocatalysis is widely applied for the degradation of pesticides. Machine learning (ML) …
photocatalysis is widely applied for the degradation of pesticides. Machine learning (ML) …
Carbon capture using ionic liquids: An explicit data driven model for carbon (IV) Oxide solubility estimation
In this study, carbon dioxide (CO 2) solubility in 20 different ionic liquids (ILs) belonging to
various chemical families was estimated across a broad range of pressures (0.0098–72.24 …
various chemical families was estimated across a broad range of pressures (0.0098–72.24 …
Toward predicting SO2 solubility in ionic liquids utilizing soft computing approaches and equations of state
MR Mohammadi, F Hadavimoghaddam… - Journal of the Taiwan …, 2022 - Elsevier
Background The use of novel and green solvents like ionic liquids (ILs) for the capture of air
pollutant gases has gained extensive attention in recent years. However, getting reliable …
pollutant gases has gained extensive attention in recent years. However, getting reliable …
[HTML][HTML] Estimation of CO2 solubility in aqueous solutions of commonly used blended amines: Application to optimised greenhouse gas capture
One of the key concerns in the 21st century, alongside the growing population, is the
increase in energy consumption and the resulting global warming. The impact of CO 2, a …
increase in energy consumption and the resulting global warming. The impact of CO 2, a …
Insights into the estimation of surface tensions of mixtures based on designable green materials using an ensemble learning scheme
R Soleimani, AH Saeedi Dehaghani - Scientific Reports, 2023 - nature.com
Precise estimation of the physical properties of both ionic liquids (ILs) and their mixtures is
crucial for engineers to successfully design new industrial processes. Among these …
crucial for engineers to successfully design new industrial processes. Among these …
Predicting solubility of nitrous oxide in ionic liquids using machine learning techniques and gene expression programming
MN Amar, MA Ghriga, MEAB Seghier… - Journal of the Taiwan …, 2021 - Elsevier
Abstract Background-Nitrous oxide (N 2 O), as a potent greenhouse gas, is increasingly
becoming a major multidisciplinary concern in recent years. Therefore, the removal of N 2 O …
becoming a major multidisciplinary concern in recent years. Therefore, the removal of N 2 O …
Chemical structure and thermodynamic properties based models for estimating nitrous oxide solubility in ionic Liquids: Equations of state and Machine learning …
R Nakhaei-Kohani, S Atashrouz… - Journal of Molecular …, 2022 - Elsevier
In past decades, nitrous oxide (N 2 O), a strong greenhouse gas, has become a serious
transdisciplinary issue. As a result, removing N 2 O utilizing strong green solvents like ionic …
transdisciplinary issue. As a result, removing N 2 O utilizing strong green solvents like ionic …
Estimating flashpoints of fuels and chemical compounds using hybrid machine-learning techniques
Flashpoint of organic materials is a crucial physical property in industrial applications and
laboratory experiments, which provides information on safety standards and needed …
laboratory experiments, which provides information on safety standards and needed …