[HTML][HTML] Eco-friendly mix design of slag-ash-based geopolymer concrete using explainable deep learning
Geopolymer concrete is a sustainable and eco-friendly substitute for traditional OPC
(Ordinary Portland Cement) based concrete, as it reduces greenhouse gas emissions. With …
(Ordinary Portland Cement) based concrete, as it reduces greenhouse gas emissions. With …
[HTML][HTML] Explicit and explainable artificial intelligent model for prediction of CO2 molecular diffusion coefficient in heavy crude oils and bitumen
Optimizing CO 2 injection for enhanced oil recovery (EOR) requires a precise estimation of
the CO 2-diffusivity coefficient in porous media. This study developed a predictive model for …
the CO 2-diffusivity coefficient in porous media. This study developed a predictive model for …
[HTML][HTML] Hybridization of Stochastic Hydrological Models and Machine Learning Methods for Improving Rainfall-Runoff Modelling
Accurately simulating river discharge remains a challenge. Hybrid models combining
hydrological models with machine learning improve discharge simulation and offer better …
hydrological models with machine learning improve discharge simulation and offer better …
[HTML][HTML] Effect of endogenous and anthropogenic factors on the alkalinisation and salinisation of freshwater in United States by using explainable machine learning
Freshwater salinisation and alkalinisation strongly depend on human and natural factors.
We used an explainable machine learning approach to investigate the impact of natural and …
We used an explainable machine learning approach to investigate the impact of natural and …
Comprehensive Assessment of E. coli Dynamics in River Water Using Advanced Machine Learning and Explainable AI
The discharge of untreated municipal wastewater has resulted in faecal contamination of
river water, posing severe public health risks, and has challenged safe irrigation. Therefore …
river water, posing severe public health risks, and has challenged safe irrigation. Therefore …
[HTML][HTML] Enhancing Long-Term Flood Forecasting with SageFormer: A Cascaded Dimensionality Reduction Approach Based on Satellite-Derived Data
Floods, increasingly exacerbated by climate change, are among the most destructive natural
disasters globally, necessitating advancements in long-term forecasting to improve risk …
disasters globally, necessitating advancements in long-term forecasting to improve risk …