Recursive neural networks are a powerful tool for processing structured data. According to the recursive learning paradigm, the input information consists of directed positional ac...
Monica Bianchini, Marco Gori, Lorenzo Sarti, Franc...
Recently there has been a significant amount of work on privacy-preserving set operations, including: set intersection [14, 6, 21, 9], testing set disjointness [17], multi-set ope...
— Probe based data storage is a promising solution for satisfying the demand for ultra-high capacity storage devices. One of the main problems with probe storage devices is the w...
Recent years have seen considerable developments in modeling techniques for automatic fault location in programs. However, much of this research considered the models from a standa...
An on-road analytical tire model has been developed to predict tire forces and moments at the tire/road interface. The model is computationally efficient and it only requires a li...