recently many researches have studied technological innovation capabilities (tics) and their impacts on firm’s competitive performance in the field of manufacturing industries. this paper pursued yam et al. (2004) framework to study the relevance of tics and firm's competitive performance in a mainly-service-based industry in iran (ict). empirical data were collected through a questionnaire...

improving time series forecastingaccuracy is an important yet often difficult task.both theoretical and empirical findings haveindicated that integration of several models is an effectiveway to improve predictive performance, especiallywhen the models in combination are quite different. in this paper,a model of the hybrid artificial neural networks andfuzzy model is proposed for time series for...

TES (Transform-Expand-Sample) is a versatile methodology for modeling general stationary time series, and particularly those that are autocorrelated. From the viewpoint of Monte Carlo simulation, TES represents a new and exible input analysis approach. The salient feature of TES is its potential ability to simultaneously capture rst-order and second-order properties of empirical time series ((e...

The performance prediction of axial flow compressors at different speeds and under various pressure ratio conditions are still being developed because of costly empirical experiments. One-dimensional modeling is a simple, fast and accurate method for performance prediction in any type of compressor with different geometries. In this approach, inlet flow conditions and compressor geometry are kn...

Abstract Investigating cooperativity of interlocutors is central in studying pragmatics dialogue. Models conversation that only assume cooperative agents fail to explain the dynamics strategic conversations. Thus, we investigate ability identify non-cooperative while completing a concurrent visual-dialogue task. Within this novel setting, study optimality communication strategies for achieving ...