ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
Abstract. In this paper, we deal with the problem of partially observed objects. These objects are defined by a set of points and their shape variations are represented by a statis...
This paper focuses on how capabilities to interpret another agent's emotions, and their biological realisation can be modelled. First a cognitive and a biological agent model...
This paper addresses the development of accurate and efficient behavioral models of digital integrated circuit input and output ports for EMC and signal integrity simulations. A ...
Igor S. Stievano, Flavio G. Canavero, Ivan A. Maio...
We consider the problem of testing for delay faults in macrobased circuits. Macro-based circuits are obtained as a result of technology mapping. Gate-level fault models cannot be ...