Toxicity of polychlorinated biphenyls in aquatic environments–A review
PSK Ngoubeyou, C Wolkersdorfer, PP Ndibewu… - Aquatic Toxicology, 2022 - Elsevier
The assessment of polychlorinated biphenyls (PCBs) and their congeners resulting from the
pollution of all environmental media is inherently related to its persistence and ubiquitous …
pollution of all environmental media is inherently related to its persistence and ubiquitous …
Machine learning-assisted crystal engineering of a zeolite
It is shown that Machine Learning (ML) algorithms can usefully capture the effect of
crystallization composition and conditions (inputs) on key microstructural characteristics …
crystallization composition and conditions (inputs) on key microstructural characteristics …
Predictive deep learning models for environmental properties: the direct calculation of octanol–water partition coefficients from molecular graphs
As an essential environmental property, the octanol–water partition coefficient (KOW)
quantifies the lipophilicity of a compound and it could be further employed to predict toxicity …
quantifies the lipophilicity of a compound and it could be further employed to predict toxicity …
A hybrid extreme learning machine and deep belief network framework for sludge bulking monitoring in a dynamic wastewater treatment process
In biological wastewater treatment plants (WWTPs), sludge thickening is a common problem
with major economic and environmental effects. Monitoring the sludge volume index (SVI) is …
with major economic and environmental effects. Monitoring the sludge volume index (SVI) is …
Concentration levels, spatial variations and exchanges of polychlorinated biphenyls (PCBs) in ambient air, surface water and sediment in Bursa, Türkiye
In this study, ambient air, surface water and sediment samples were simultaneously
collected and analyzed for PCBs to investigate their levels, spatial variations and exchanges …
collected and analyzed for PCBs to investigate their levels, spatial variations and exchanges …
Nationwide policymaking strategies to prevent future electricity crises in developing countries using data-driven forecasting and fuzzy-SWOT analyses
Over the past decades, forecasting electricity demand has been crucial in energy planning
and power distribution management to establish sustainable strategies in undeveloped …
and power distribution management to establish sustainable strategies in undeveloped …
Deep learning driven QSAR model for environmental toxicology: effects of endocrine disrupting chemicals on human health
Abstract Over 80,000 endocrine-disrupting chemicals (EDCs) are considered emerging
contaminants (ECs), which are of great concern due to their effects on human health …
contaminants (ECs), which are of great concern due to their effects on human health …
Investigating machine learning applications for effective real-time water quality parameter monitoring in full-scale wastewater treatment plants
U Safder, J Kim, G Pak, G Rhee, K You - Water, 2022 - mdpi.com
Environmental sensors are utilized to collect real-time data that can be viewed and
interpreted using a visual format supported by a server. Machine learning (ML) methods, on …
interpreted using a visual format supported by a server. Machine learning (ML) methods, on …
Application of machine learning and deep learning methods for hydrated electron rate constant prediction
S Zheng, W Guo, C Li, Y Sun, Q Zhao, H Lu, Q Si… - Environmental …, 2023 - Elsevier
Accurately determining the second-order rate constant with e aq−(k eaq−) for organic
compounds (OCs) is crucial in the e aq− induced advanced reduction processes (ARPs). In …
compounds (OCs) is crucial in the e aq− induced advanced reduction processes (ARPs). In …
Active learning-driven quantitative synthesis–structure–property relations for improving performance and revealing active sites of nitrogen-doped carbon for the …
While quantitative structure–property relations (QSPRs) have been developed successfully
in multiple fields, catalyst synthesis affects structure and in turn performance, making simple …
in multiple fields, catalyst synthesis affects structure and in turn performance, making simple …