Local climate of the city is modulated by not only land surface properties and climate
background but also urban morphology. While the modulations of the former two have been …

This paper presents a novel framework for smart integrated risk management in arid regions.
The framework combines flash flood modelling, statistical methods, artificial intelligence (AI) …

The ability of a humanoid robot to imitate facial expressions with simultaneous head motions
is crucial to natural human–robot interaction. This mirrored behavior from human beings to …

Human–robot interaction is an essential capability for humanoid robots to enter the physical
world and become companions in people's lives, learning, and work. While the majority of …

The increasing threats of flash floods and water scarcity in semi-arid regions necessitate
high-quality streamflow forecasting with process-based or data-driven models. However …

This study aims to develop a smart model for carrying out two-dimensional (2D) inundation
simulation by estimating the gridded inundation depths via the ANN-derived models …

This study aims to develop a smart model for the two-dimensional (2D) inundation
simulation based on the derived artificial neural network (ANN) model with real-time …

Flood prediction in Bangladesh, vital for safeguarding communities and resources, faces
formidable challenges due to the region's recurrent inundations. In this study, we …

Scholars have long sought to identify key city locations that have a pronounced effect on the
flow of people under various conditions. Identifying key locations makes it possible for …

An active sonar system emits sound waves to targets of interest and records the
backscattered echoes. The transmit signal decays due to propagation losses and is …