Detecting ships in marine images is an essential problem in maritime surveillance systems. Although several types of deep neural networks have almost ubiquitously used for this purpose, but the performance of such networks greatly drops when they are exposed to low size and low contrast images which have been captured by passive monitoring systems. On the other hand factors such as sea waves, c...

The study of deep recurrent neural networks (RNNs) and, in particular, of deep Reservoir Computing (RC) is gaining an increasing research attention in the neural networks community. The recently introduced deep Echo State Network (deepESN) model opened the way to an extremely efficient approach for designing deep neural networks for temporal data. At the same time, the study of deepESNs allowed...

In this paper, we propose to use deep policy networks which are trained with an advantage actor-critic method for statistically optimised dialogue systems. First, we show that, on summary state and action spaces, deep Reinforcement Learning (RL) outperforms Gaussian Processes methods. Summary state and action spaces lead to good performance but require pre-engineering effort, RL knowledge, and ...

There is currently much interest in clinical applications of therapeutic hypothermia. Hypothermia can be a consequence of hypometabolism. We have recently established a procedure for the induction of a reversible deep hypometabolic state in mice using 5'-adenosine monophosphate (5'-AMP) in conjunction with moderate ambient temperature. The current study aims at investigating the impact of this ...

Uncertain power generations and loads are continually integrated into the system, causing high risks of dynamic events. To better monitor systems, advanced meters like Phasor Measurement Units (PMUs) can record high-resolution system states in real time. However, due to cost, placement PMUs is limited a system. Thus, it's hard obtain all via PMUs. On other hand, traditional sensors Supervisory ...

Leader-follower formation control is a widely used control strategy that often needs systems to exchange information over a wireless radio communication network. These wireless networks are subject to deep fades, where a severe drop in the quality of the communication link occurs. Such deep fades may significantly impact the formation’s performance and stability. In many applications, however, ...

The Deep Web is constituted by dynamically generated pages, usually requested through a HTML form; it is notoriously difficult to query and to search, as its pages are obviously non-indexable. More recently, Deep Web data have been made accessible through RESTful services that return information usually structured in JSON or XML format. We propose techniques to make the Deep Web available in th...