In this paper it is proposed a method to design and train a layer of soft sensors based on
neural networks in order to constitute a virtual layer of measure in a wireless sensor network …

An application in cultural heritage is introduced. Wavelet decomposition and Neural
Networks like virtual sensors are jointly used to simulate physical and chemical …

The primary aim of this paper is to give to a humanoid robot the sense of pain. That because
the pain is one of the ways to which we protect our body. Thus, we consider that a humanoid …

Spatial forecasting of physical environmental parameters like temperature and humidity, can
be realized by soft sensors based on neural networks. The paper is focused on the use of an …

A methodology to improve soft sensors performances in spatial forecast of environmental
parameters is introduced. To this aim, we substitute a single soft sensor based on a single …

Physical atmosphere parameters, as temperature or humidity, can be indirectly estimated on
the surface of a monument by means of soft sensors based on neural networks, if an …

Monitoring the physical or chemical conditions of the materials composing a monument can
be achieved in a not invasive way by using trained neural networks. Soft sensors based on …

In this paper we illustrate the architecture of an intelligent advisor agent aimed at limiting, or
as far as possible preventing, the damages caused by catastrophic events, such as floods …

Forecasting the dynamics of alteration in materials, in particular the timescale of
degradation, is relevant to preventive conservation, and great deal of effort has gone into …

Soft sensors, based on Elman NNs, have been developed to provide virtual measurements
at different locations on the monument surface using as input source only the measurements …