Physicists have had a keen interest in the areas of Artificial Intelligence (AI) and Machine Learning (ML) for some time now, with a special inclination towards unravelling the mechanism at the core of the process of learning. In particular, exploring the underlying mathematical structure of a...

Invasion of locust swarms has affected the crops in many countries in Africa and Asia which is a major threat to food security. According to the Food and Agriculture Organisation (FAO), locusts have the ability to fly over 130 km a day and stay in the air for a long time. There are different...

Wire-feed laser additive manufacturing is an emerging fabrication technique capable of highly automated large-scale volume production that can reduce both material waste and overall cost while improving product lead times. Quality assurance is necessary for implementation into critical...

Context: Convolutional neural networks (CNNs) for spectroscopic modelling are usually designed and tuned manually and decisions regarding the CNN components are made heuristically. This can lead to poorly designed CNN models that are not fully optimised, or to models that take a long time to...

Probabilistic equilibrium selection is defined by equipping a set of theoretical solutions with an additive weighting function. In the context of dynamic processes, a weighting function can be constructed by assigning to each theoretical solution a weight equal to the relative size of its basin...

Source mobile recording device identification aims to identify the source device through intrinsic audio characteristics, and it has been widely employed in various digital audio forensic scenarios. However, the existing methods have the problem of separating the short-term spatial information...

The artificial portion of screen content images (SCIs) destroys the natural scene statistics of natural scenes. It is also impractical to obtain an accurate statistical model due to the variable composition of the artificial and natural parts in SCIs. To resolve this problem, this paper presents...

In this paper, a novel conditional focus probability learning model, termed MCNN, is proposed for multi-focus image fusion (MFIF). Given a pair of source images, their conditional focus probabilities can be generated by using our MCNN trained well, which is further converted into the binary...

Rain erosion is one of the most detrimental factors contributing to wind turbine blade (WTB) coating fatigue damage especially for utility-scale wind turbines (WTs). For preventing WTB coating fatigue damage induced by rain erosion, this paper proposes a deep reinforcement learning (DRL)-based...

Clean energy communities (CEC) represent emerging socio-technical systems that offer a suitable alternative to non-sustainable energy production and consumption. Thus, CECs cultivate new knowledge of clean energy use and diffuse it among their members as well as interested publics outside the...