Process-based modelling offers interpretability and physical consistency in many domains of
geosciences but struggles to leverage large datasets efficiently. Machine-learning methods …

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 …

Efficient structural reliability analysis method is crucial to solving reliability analysis of
complex structural problems. High-computational cost and low-failure probability problems …

Among the background of developments in automation and intelligence, machine learning
technology has been extensively applied in aquaculture in recent years, providing a new …

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 …

Purpose The multisource uncertainties, including material dispersion, load fluctuation and
geometrical tolerance, have crucial effects on fatigue performance of turbine bladed disks. In …

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 …

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 …

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 …

Smart aquaculture is nowadays one of the sustainable development trends for the
aquaculture industry in intelligence and automation. Modern intelligent technologies have …