A qualitative analysis of debugging strategies of novice Java programmers is presented. The study involved 21 CS2 students from seven universities in the U.S. and U.K. Subjects 'warmed up' by coding a solution to a typical ...

Hierarchical multilabel classification (HMC) is a variant of classification where instances may belong to multiple classes organized in a hierarchy. The task is relevant for several application domains. This paper presents ...

Deep machine learning has received significant attention over the past decade, especially in terms of dealing with information that may span large scales. By employing a hierarchical architecture, consisting of simple ...

Over the last four years we have developed five sailing robots of various sizes with the intention of performing long term ocean monitoring. These have demonstrated that a sailing robot could potentially perform long term ...

The worldwide population of elderly people is growing rapidly and in the coming decades the proportion of older people in the developed countries will change significantly. This demographic shift will create a huge increase ...

Combating identity fraud is prominent and urgent since false identity has become the common denominator of all serious crime. Typical approaches to detecting false identity rely on the similarity measure of text-based ...

Xray imaging is a well established technique of detecting strongly attenuating materials and has been applied to a number of inspection applications within the agricultural and food industries. However, there are still ...

Harmony search is a recently developed meta heuristic capable of solving discrete and continuous valued optimisation problems. However, the nature of pre-defined constant parameters limits the exploitation of the algorithm. ...

With autonomous robotic systems increasingly being used for various tasks including research projects, their ability to operate away from their ideal laboratory environment comes into question. Whilst long term autonomous ...

In this paper, we show how a simulated humanoid robot controlled by an artificial neural network can acquire the ability to manipulate spherical objects located over a table by reaching, grasping, and lifting them. The ...