Network monitoring applications are used to monitor network traffic flows. Clustering techniques are used to extract network traffic patterns. Anomaly detection schemes are used to detect network attacks. Hierarchical and partitional clustering schemes are used to analyze network traffic data values. The hierarchical data analysis uses the structure and data values for the clustering process. T...

‎in this paper, we present a two-stage model for ranking of decision making units (dmus) using interval analytic hierarchy process (ahp). since the efficiency score of unity is assigned to the efficient units, we evaluate the efficiency of each dmu by basic dea models and calculate the weights of the criteria using proposed model. in the first stage, the proposed model evaluates decision making...

Predictive business process monitoring is predicting the next stage of based on sequence events that have occurred in instance, which positive for promoting rational allocation resources and improvement execution efficiency. There are drawbacks modeling instances, such as conceptual drift phenomenon long event sequences. Therefore, we propose a hierarchical Transformer-based prediction model to...

in the developed countries, many organizations are regarded as knowledge-based businesses in which knowledge management is necessary. today, this science is changing into integral activity of business in organizations. one of the concerns of knowledge management is its implementation.many companies and organizations which try to start knowledge management don’t ensure that the best approach is ...

Cu2ZnSnS4 (CZTS) hierarchical microstructures were synthesized by using a facile and nontoxic hydrothermal route, which were characterized by X-ray powder diffraction (XRD), scanning electron microscope (SEM), Raman spectra, and UV-Vis absorption spectra. The results and analysis show that surfactants used in the hydrothermal process have significant effect on the phase structures, morphologies...