Differentiable modelling to unify machine learning and physical models for geosciences
Process-based modelling offers interpretability and physical consistency in many domains of
geosciences but struggles to leverage large datasets efficiently. Machine-learning methods …
geosciences but struggles to leverage large datasets efficiently. Machine-learning methods …
A survey on river water quality modelling using artificial intelligence models: 2000–2020
There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …
anthropogenic activities. Last decades' research has immensely focussed on river basin …
Application of machine learning in intelligent fish aquaculture: A review
Among the background of developments in automation and intelligence, machine learning
technology has been extensively applied in aquaculture in recent years, providing a new …
technology has been extensively applied in aquaculture in recent years, providing a new …
Boosting principles for the photocatalytic performance of Cr-doped Cu2O crystallites and mechanisms of photocatalytic oxidation for levofloxacin
J Nie, X Yu, Z Liu, Y Wei, J Zhang, N Zhao, Z Yu… - Applied Surface …, 2022 - Elsevier
Cr-doped Cu 2 O crystallites were synthesized by hydrothermal process. XRD, BET, SEM,
TEM, UV–Vis and RSM were used to reveal the microstructure, optical characteristics and …
TEM, UV–Vis and RSM were used to reveal the microstructure, optical characteristics and …
Water quality prediction using SWAT-ANN coupled approach
Efficient and accurate prediction of river water quality is challenging due to the complex
hydrological and environmental processes affecting their nature. The challenge is even …
hydrological and environmental processes affecting their nature. The challenge is even …
[HTML][HTML] Internet of Things in aquaculture: A review of the challenges and potential solutions based on current and future trends
Aquaculture produces nearly half of the seafood consumed by the ever-growing world
population. There have been attempts to adopt novel technologies into the industry to …
population. There have been attempts to adopt novel technologies into the industry to …
[HTML][HTML] Overview of smart aquaculture system: Focusing on applications of machine learning and computer vision
Smart aquaculture is nowadays one of the sustainable development trends for the
aquaculture industry in intelligence and automation. Modern intelligent technologies have …
aquaculture industry in intelligence and automation. Modern intelligent technologies have …
Hybrid machine learning models for prediction of daily dissolved oxygen
Measuring water quality parameters is a significant step in many hydrological assessments.
Dissolved oxygen (DO) is one of these parameters that is an indicator of water quality …
Dissolved oxygen (DO) is one of these parameters that is an indicator of water quality …
Predicting load capacity of shear walls using SVR–RSM model
Accurate prediction of the shear capacity of reinforced concrete shear walls (RCSW) is
essential for the wind and seismic design of buildings. However, due to the diverse structural …
essential for the wind and seismic design of buildings. However, due to the diverse structural …
Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree
In this study, four different heuristic regression methods including Kriging, response surface
method (RSM), multivariate adaptive regression (MARS) and M5 model tree (M5Tree) have …
method (RSM), multivariate adaptive regression (MARS) and M5 model tree (M5Tree) have …