Machine tools lie at the heart of almost all manufacturing systems, and their performance has a massive influence on both the performance and productivity of systems. In accordance with the development of computer systems, intelligent technologies have been applied to manufacturing systems, thereby raising the need for more intelligent machine tools. Intelligent machines respond to external env...

Intelligent multimodal interfaces can facilitate scientists in utilising available information resources. Combining scientific visualisations with interactive and intelligent tools can help create a “habitable” information space. Development of such tools remains largely iterative. We discuss an ongoing implementation of intelligent interactive visualisation of information resources in cell bio...

As artificial intelligence systems increasingly make high-stakes recommendations and decisions automatically in many facets of our lives, the use explainable to inform stakeholders about reasons behind such has been gaining much attention a wide range fields, including education. Also, field education there long history research into self-explanation, where students explain process their answer...

This paper contributes an overview of application of intelligent tools into the sector of b2b training. We present three prototype intelligent tools developed with artificial intelligence techniques (neural-networks and fuzzy-logic) which have been successfully applied to business training.

Porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. It is a vital factor in precise understanding of reservoir quality in a hydrocarbon field. Log data are exceedingly crucial information in petroleum industries, for many of hydrocarbon parameters are obtained by virtue of petrophysical data. There are three main petrophysical...

1 Facultatea de Electronică şi Telecomunicaţii, Departamentul Comunicaţii Bd. V. Pârvan Timişoara 1900 e-mail [email protected] Abstract: Neural Networks are nonlinear dynamic systems able to offer a solution almost anywhere classic methods have failed. This paper gives an overview of the applications of neural networks in telecommunications. There are presented the relevant characteristics...

In today’s global competitive marketplace, there is intense pressure for manufacturing industries to continuously reduce and eliminate costly, unscheduled downtime and unexpected breakdowns. With the advent of Internet and tether-free technologies, companies necessitate dramatic changes in transforming traditional ‘‘fail and fix (FAF)’’ maintenance practices to a ‘‘predict and prevent (PAP)’’ e...