Weather impact on solar farm performance: a comparative analysis of machine learning techniques
Forecasting the performance and energy yield of photovoltaic (PV) farms is crucial for
establishing the economic sustainability of a newly installed system. The present study aims …
establishing the economic sustainability of a newly installed system. The present study aims …
Sediment source fingerprinting: benchmarking recent outputs, remaining challenges and emerging themes
Purpose This review of sediment source fingerprinting assesses the current state-of-the-art,
remaining challenges and emerging themes. It combines inputs from international scientists …
remaining challenges and emerging themes. It combines inputs from international scientists …
Sediment source fingerprinting as an aid to large-scale landscape conservation and restoration: A review for the Mississippi River Basin
Reliable quantitative information on sediment sources to rivers is critical to mitigate
contamination and target conservation and restoration actions. However, for large-scale …
contamination and target conservation and restoration actions. However, for large-scale …
Comparative evaluation of AI‐based intelligent GEP and ANFIS models in prediction of thermophysical properties of Fe3O4‐coated MWCNT hybrid nanofluids for …
Hybrid nanofluids are gaining popularity owing to the synergistic effects of nanoparticles,
which provide them with better heat transfer capabilities than base fluids and normal …
which provide them with better heat transfer capabilities than base fluids and normal …
Precise prediction of performance and emission of a waste derived Biogas–Biodiesel powered Dual–Fuel engine using modern ensemble Boosted regression Tree: A …
P Sharma, BB Sahoo - Fuel, 2022 - Elsevier
The current study looks at using waste-derived biodiesel as pilot fuel and waste-derived
biogas as a gaseous fuel to power a diesel engine in dual-fuel mode. A new ensemble …
biogas as a gaseous fuel to power a diesel engine in dual-fuel mode. A new ensemble …
Next-generation remote sensing and prediction of sand and dust storms: State-of-the-art and future trends
Sand and dust storms (SDS) have long been considered as a type of disastrous weather.
Minimizing the severe influence of SDS on the environment and human life has been the …
Minimizing the severe influence of SDS on the environment and human life has been the …
Predicting factors affecting the intention to use a 3PL during the COVID-19 pandemic: A machine learning ensemble approach
The COVID-19 pandemic had brought changes to individuals, especially in consumer
behavior. As the government of different countries has been implementing safety protocols …
behavior. As the government of different countries has been implementing safety protocols …
A machine learning ensemble approach for predicting factors affecting STEM students' future intention to enroll in chemistry-related courses
AKS Ong - Sustainability, 2022 - mdpi.com
The need for chemistry-related professionals has been evident with the rise of global issues
such as the pandemic and global warming. Studies have indicated how an increase in the …
such as the pandemic and global warming. Studies have indicated how an increase in the …
[HTML][HTML] Predicting the number of dusty days around the desert wetlands in southeastern Iran using feature selection and machine learning techniques
In the past decades, some desert wetlands have become critical regions for dust production
in the arid and semi-arid regions of the world. Accurate prediction of the number of dusty …
in the arid and semi-arid regions of the world. Accurate prediction of the number of dusty …
Novel deep learning hybrid models (CNN-GRU and DLDL-RF) for the susceptibility classification of dust sources in the Middle East: a global source
H Gholami, A Mohammadifar - Scientific Reports, 2022 - nature.com
Dust storms have many negative consequences, and affect all kinds of ecosystems, as well
as climate and weather conditions. Therefore, classification of dust storm sources into …
as climate and weather conditions. Therefore, classification of dust storm sources into …