Hanee F. Hizaddin
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View article: Development of sustainability assessment framework for preliminary design of chemical process: hydrogen production as case study
Development of sustainability assessment framework for preliminary design of chemical process: hydrogen production as case study Open
View article: Reaching machine learning leverage to advance performance of electrocatalytic CO2 conversion in non-aqueous deep eutectic electrolytes
Reaching machine learning leverage to advance performance of electrocatalytic CO2 conversion in non-aqueous deep eutectic electrolytes Open
View article: Extraction of Pyrrole from Its Mixture with n-Hexadecane Using Protic Ionic Liquids
Extraction of Pyrrole from Its Mixture with n-Hexadecane Using Protic Ionic Liquids Open
The removal of nitrogen compounds from fuel via the conventional method, which is hydrodenitrogenation, is costly and involves catalysts and energy-intensive conditions (600 K and 300 atm). Recently, ionic liquids (ILs) have emerged as a p…
View article: Extraction of Phenol as Pollutant from Aqueous Effluents Using Hydrophobic Deep Eutectic Solvents
Extraction of Phenol as Pollutant from Aqueous Effluents Using Hydrophobic Deep Eutectic Solvents Open
Due to their toxicity and persistence in the environment, phenolic pollutants pose a serious threat to the ecosystem. In this work, the performance of hydrophobic deep eutectic solvents (HDESs) for phenol removal from aqueous effluents is …
View article: Peer Review #1 of "Artificial intelligence-assisted air quality monitoring for smart city management (v0.1)"
Peer Review #1 of "Artificial intelligence-assisted air quality monitoring for smart city management (v0.1)" Open
improving the existing LSTM model.The study estimates the concentration of pollutants in the air based on training and highlights the contribution of feature optimization in air quality predictions through feature dimension reductions.Resu…
View article: Peer Review #2 of "Artificial intelligence-assisted air quality monitoring for smart city management (v0.1)"
Peer Review #2 of "Artificial intelligence-assisted air quality monitoring for smart city management (v0.1)" Open
improving the existing LSTM model.The study estimates the concentration of pollutants in the air based on training and highlights the contribution of feature optimization in air quality predictions through feature dimension reductions.Resu…
View article: Peer Review #2 of "Artificial intelligence-assisted air quality monitoring for smart city management (v0.2)"
Peer Review #2 of "Artificial intelligence-assisted air quality monitoring for smart city management (v0.2)" Open
improving the existing LSTM model.The study estimates the concentration of pollutants in the air based on training and highlights the contribution of feature optimization in air quality predictions through feature dimension reductions.Resu…
View article: Artificial intelligence-assisted air quality monitoring for smart city management
Artificial intelligence-assisted air quality monitoring for smart city management Open
Background The environment has been significantly impacted by rapid urbanization, leading to a need for changes in climate change and pollution indicators. The 4IR offers a potential solution to efficiently manage these impacts. Smart city…
View article: Integration of Deep Eutectic Solvent and Activated Carbon in Emulsion Liquid Membrane System for Soap Removal from Crude Biodiesel
Integration of Deep Eutectic Solvent and Activated Carbon in Emulsion Liquid Membrane System for Soap Removal from Crude Biodiesel Open
View article: A Stacked Ensemble Deep Learning Approach for Imbalanced Multi-Class Water Quality Index Prediction
A Stacked Ensemble Deep Learning Approach for Imbalanced Multi-Class Water Quality Index Prediction Open
A common difficulty in building prediction models with realworld environmental datasets is the skewed distribution of classes.There are significantly more samples for day-to-day classes, while rare events such as polluted classes are uncom…
View article: Extraction of Phycocyanin from Spirulina Using Deep Eutectic Solvent Liquid Biphasic System
Extraction of Phycocyanin from Spirulina Using Deep Eutectic Solvent Liquid Biphasic System Open
View article: Leveraging Big Data for PM2.5 Prediction: A Case Study in Selangor, Malaysia
Leveraging Big Data for PM2.5 Prediction: A Case Study in Selangor, Malaysia Open
Air pollution has become a serious issue and has continually increased since the half-decade ago due to globalization. Activities such as urbanization, industrialization, power plants, agricultural open burning and natural disaster such as…
View article: Palm Raceme as a Promising Biomass Precursor for Activated Carbon to Promote Lipase Activity with the Aid of Eutectic Solvents
Palm Raceme as a Promising Biomass Precursor for Activated Carbon to Promote Lipase Activity with the Aid of Eutectic Solvents Open
This study concerns the role of activated carbon (AC) from palm raceme as a support material for the enhancement of lipase-catalyzed reactions in an aqueous solution, with deep eutectic solvent (DES) as a co-solvent. The effects of carboni…
View article: Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review
Towards Integrated Air Pollution Monitoring and Health Impact Assessment Using Federated Learning: A Systematic Review Open
Environmental issues such as environmental pollutions and climate change are the impacts of globalization and become debatable issues among academics and industry key players. One of the environmental issues which is air pollution has been…
View article: Water Quality Index Using Modified Random Forest Technique: Assessing Novel Input Features
Water Quality Index Using Modified Random Forest Technique: Assessing Novel Input Features Open
View article: Machine Learning Model for Assessment of CO2 Electroreduction Current Response Asymptote in Deep Eutectic Electrolytes
Machine Learning Model for Assessment of CO2 Electroreduction Current Response Asymptote in Deep Eutectic Electrolytes Open
View article: Encapsulated deep eutectic solvent for esterification of free fatty acid
Encapsulated deep eutectic solvent for esterification of free fatty acid Open
A novel encapsulated deep eutectic solvent (DES) was introduced for biodiesel production via a two-step process. The DES was encapsulated in medical capsules and were used to reduce the free fatty acid (FFA) content of acidic crude palm oi…
View article: Performance of p-Toluenesulfonic Acid–Based Deep Eutectic Solvent in Denitrogenation: Computational Screening and Experimental Validation
Performance of p-Toluenesulfonic Acid–Based Deep Eutectic Solvent in Denitrogenation: Computational Screening and Experimental Validation Open
Deep eutectic solvents (DESs) are green solvents developed as an alternative to conventional organic solvents and ionic liquids to extract nitrogen compounds from fuel oil. DESs based on p-toluenesulfonic acid (PTSA) are a new solvent clas…