The field of machine learning (ML) has rapidly advanced the state of the art in many fields of
science and engineering, including experimental fluid dynamics, which is one of the original …

The use of renewable energy to reduce the effects of climate change and global warming
has become an increasing trend. In order to improve the prediction ability of renewable …

Assistive robots have the potential to support people with disabilities in a variety of activities
of daily living, such as dressing. People who have completely lost their upper limb …

We propose a method for learning the posture and structure of agents from unlabelled
behavioral videos. Starting from the observation that behaving agents are generally the …

The ferrous oxide (FeO) content in finished sinter is a key indicator of the thermal reaction
state and plays a pivotal role in quality control of the iron ore sintering process. In contrast to …

Power generation (PG) prediction from renewable energy sources (RESs) plays a vital role
in effective energy management in smart cities. However, harnessing the potential of edge …

Turbulent wakes trailing utility-scale wind turbines reduce the power production and
efficiency of downstream turbines. Thorough understanding and modeling of these wakes is …

Accurate measurements of atmospheric flows at metre-scale resolution are essential for
many sustainability applications, including optimal design of wind and solar farms …

For many of the physical phenomena around us, we have developed sophisticated models
explaining their behavior. Nevertheless, measuring physical properties from visual …

Affected by the global epidemic, non-contact unmanned control system provides people with
safe human-computer interaction (HCI). This paper presents a radar hand gesture …