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What Should We Learn? Special Issue on Smart Cities

In the coming years, cities are expected to deal with an increasing number and type of services for their citizens, all having to do with overarching goals such as sustainability, environment, quality of life, energy saving, just to name a few. As the population living in urban areas is expected to double by 2050, there is a general consensus that any new process will require more than just an incremental upgrading of the cities’ organization, infrastructure, and services provided to its citizens.

13 Nov.

4 Ways Signal Processing is Impacting You Right Now

So much of our daily lives are powered by signal processing technologies. They go unnoticed mostly because that’s the purpose – to help our lives run more seamlessly, with little to no impact. For example, you’re probably reading this blog on your computer. Guess what? Signal processing is responsible for your computer’s ability to store data and run smoothly.

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A Framework for Enhancing Speaker Age and Gender Classification by Using a New Feature Set and Deep Neural Network Architectures

Speaker age and gender classification is one of the most challenging problems in speech processing. Recently with developing technologies, identifying a speaker age and gender has become a necessity for speaker verification and identification systems such as identifying suspects in criminal cases, improving human-machine interaction, and adapting music for awaiting people queue.

Advanced Image Processing in Cardiac Magnetic Resonance Imaging with Application in Myocardial Perfusion Quantification

Cardiac magnetic resonance imaging (CMRI) has been proven to be a valuable source of diagnostic information concerning heart health. One application, myocardial blood flow (MBF) quantification using first-pass contrast-enhanced myocardial perfusion, has aided the detection of coronary artery disease and provides an accurate evaluation of myocardial ischemia, an identifier of coronary artery stenosis.

Postdoc in Conversational Modeling and Systems

At the University of Trento ( Italy ) we are looking for highly motivated researcher to join
our research team and work on Natural Language Understanding and Dialog Modeling and Systems.

The Signals and Interactive Systems Lab at University of Trento attracts researchers from
computational linguistics, computer science, electrical engineering to design and train the
most advanced interactive and conversational systems.

You will join the research team that has been training intelligent machines and evaluating

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What Should We Learn? Special Issue on Smart Cities

4 Ways Signal Processing is Impacting You Right Now

A Framework for Enhancing Speaker Age and Gender Classification by Using a New Feature Set and Deep Neural Network Architectures

Advanced Image Processing in Cardiac Magnetic Resonance Imaging with Application in Myocardial Perfusion Quantification

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Postdoc in Conversational Modeling and Systems