Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Systems of Data Management Timed Automata (SDMTAs) are networks of communicating timed automata with structures to store messages and functions to manipulate them. We prove the dec...
Ruggero Lanotte, Andrea Maggiolo-Schettini, Angelo...
—Understanding the communication behavior and network resource usage of parallel applications is critical to achieving high performance and scalability on systems with tens of th...
Ron Brightwell, Kevin T. Pedretti, Kurt B. Ferreir...
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
E. Canestrelli, P. Canestrelli, Marco Corazza, Mau...
Loop unrolling is one of the most promising parallelization techniques, because the nature of programs causes most of the processing time to be spent in their loops. Unrolling not...