Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
A discrete control system, with stringent hardware constraints, is effectively an embedded real-time system and hence requires a rigorous methodology to develop the software invol...
Lucas Cordeiro, Carlos Mar, Eduardo Valentin, Fabi...
We propose the design of a reconfigurable impedance matching network for the lower RF frequency band, based on a developed RF-MEMS technology. The circuit is composed of RF-MEMS o...
Marco Bedani, F. Carozza, Roberto Gaddi, Antonio G...
Enabling and managing coordination activities between autonomous, possibly mobile, computing entities in dynamic computing scenarios challenges traditional approaches to distribut...
Progress in adapting molecular dynamics algorithms for systems with short-range interactions to utilize the features of modern supercomputers is described. Efficient utilization o...