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Abstract Alkaline water electrolysis represents a promising pathway for green hydrogen production, yet comprehensive multi-physics simulation remains computationally prohibitive for practical design optimization. This st...

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

Abstract Ultra-short-wave wireless parameter distribution is one of the important means of parameter distribution in mobile communication systems. Compared with manual parameter distribution, it can significantly reduce ...

Remote sensing-derived building footprint data has been widely applied in population mapping. However, nonresidential buildings typically occupy larger areas or volumes, and obtaining building footprint data with type in...

The paper deals with modeling three-dimensional illumination distribution from light sourсes using artificial neural network (ANN). This problem is especially relevant in greenhouse irradiation systems due to the design...

We present HAlator, a fully automated quantum chemistry (QM) workflow for computing C–H hydricities and explore its potential in predicting the regioselectivity of electron-rich C–H functionalisation reactions. The w...

Abstract Substantial efforts have been made to modernize and decarbonize the waste collection industry. Smart sensor-based waste collection (SWC) systems have been developed to optimize collection routes based on the act...

Galactosemia involves different forms of inborn errors of metabolism affecting galactose processing. Different from type 1 and type 2, respectively, related to GALT and GALK1 defects, type 3 galactosemia is due to bialle...

Objective To characterise temporal trends in antiretroviral therapy (ART) utilisation and forecast short-term changes in regimen distribution within a provincial HIV treatment programme.Design Population-level longitudin...

ABSTRACT    Context and background Fit-for-Purpose Land Administration (FFP-LA) framework provides a pragmatic approach to enhancing tenure security, reducing disputes, and facilitating planned urban development in...

High-fidelity simulation of extreme high-gravity shock environments is crucial for aerospace and defense applications, yet achieving spectral consistency between laboratory pulses and real-world shocks remains challengin...

Abstract Accurate prediction of compressive strength is important for the efficient design of sustainable concrete incorporating palm oil fuel ash (POFA). This study developed a hybrid artificial neural network model opt...

Urban wastewater treatment processes exhibit complex characteristics such as uncertainty, nonlinearity,and time delay, which pose significant challenges to water quality control and energy consumption optimization. To ad...

This study presents a simulation-based evaluation of a hybrid fiber Bragg grating (FBG) temperature estimation framework combining the extended Kalman filter (EKF) and unscented Kalman filter (UKF) for electric vehicle (...