Drinking water resources suitability assessment based on pollution index of groundwater using improved Explainable Artificial Intelligence
The global significance of fluoride and nitrate contamination in coastal areas cannot be
overstated, as these contaminants pose critical environmental and public health challenges …
overstated, as these contaminants pose critical environmental and public health challenges …
Off-grid multi-region energy system design based on energy load demand estimation using hybrid nature-inspired optimization algorithms
Reliable energy demand estimation and optimal sizing of a stand-alone photovoltaic/wind/
battery hybrid energy system are critical for achieving sustainable development goals. This …
battery hybrid energy system are critical for achieving sustainable development goals. This …
Predicting micropollutant removal through nanopore-sized membranes using several machine-learning approaches based on feature engineering
Predicting the efficacy of micropollutant separation through functionalized membranes is an
arduous endeavor. The challenge stems from the complex interactions between the …
arduous endeavor. The challenge stems from the complex interactions between the …
[HTML][HTML] Machine learning insight into inhibition efficiency modelling based on synthesized modified graphene oxide of diaminohexane (DAH-GO) and diaminooctane …
The effective prediction of corrosion inhibition efficiency (% IE) of modified graphene oxide
(GO) derivatives diaminohexane-modified graphene oxide (DAH-GO) and diaminooctane …
(GO) derivatives diaminohexane-modified graphene oxide (DAH-GO) and diaminooctane …
Advancing Energy Performance Efficiency in Residential Buildings for Sustainable Design: Integrating Machine Learning and Optimized Explainable AI (AIX)
BS Alotaibi - International Journal of Energy Research, 2024 - Wiley Online Library
Buildings play a critical role in energy consumption, representing one of the primary
consumers of power. Heating load (HL) and cooling load (CL) are essential for determining …
consumers of power. Heating load (HL) and cooling load (CL) are essential for determining …
Improving dye removal ability and fouling resistance of thin‐film nanocomposite nanofiltration membranes using a new citric acid functionalized FSM‐16 mesoporous
A Mohammadifar, M Rahimi… - Journal of Applied …, 2024 - Wiley Online Library
The development of superior thin‐film nanocomposite (TFN) membranes with good
separation performance and anti‐fouling capacity is required to address the larger‐scale …
separation performance and anti‐fouling capacity is required to address the larger‐scale …
[PDF][PDF] Machine learning-based wind speed estimation for renewable energy optimization in urban environments: A case study in Kano state, Nigeria
IA Mahmoud, UJ Muhammad, SJ Kawu… - Adv. J. Sci. Tech …, 2024 - researchgate.net
Climate change always had a massive effect on worldwide cities. which can only be decreased
through considering renewa Page 1 Advanced Journal of Science, Technology and …
through considering renewa Page 1 Advanced Journal of Science, Technology and …