The cloud computing paradigm has gained wide acceptance in the scientific community,
taking a significant share from fields previously reserved exclusively for High Performance …

Solving complex real-world optimization problems is a computationally demanding task. To
solve it efficiently and effectively, one must possess expert knowledge in various fields …

It has often been found that students appreciate hands-on work, and find that they learn
more with courses that include a project than those relying solely on conventional lectures …

We propose personal volunteer computing, a novel paradigm to encourage technical
solutions that leverage personal devices, such as smartphones and laptops, for personal …

There is increasing impetus towards' Industry 4.0', a recently proposed roadmap for process
automation across a broad spectrum of manufacturing industries. The proposed approach …

In smart factories, integrated optimisation of manufacturing process planning and scheduling
leads to better results than a traditional sequential approach but is computationally more …

In smart factories, process planning and scheduling need to be performed every time a new
manufacturing order is received or a factory state change has been detected. A new plan …

The large penetration and continued growth in ownership of personal electronic devices
represents a freely available and largely untapped source of computing power. To leverage …

We present cCube, an open source architecture used to automatically create an application
of one or more Evolutionary Machine Learning (EML) classification algorithms that can be …

WebRTC enables browsers to exchange data directly but the number of possible concurrent
connections to a single source is limited. We overcome the limitation by organizing …