Internet of Things (IoT) software is becoming a critical infrastructure for many domains. In
IoT, sensors monitor their environment and transfer readings to cloud, where Machine …

In this paper we propose a traffic classification methodology for subnetwork level anomaly
detection using machine learning algorithms. Our proposed techniques allow researchers …

Resumen El Banco de la República genera información para la toma de decisiones, la
rendición de cuentas y la difusión al público. En particular, el Reporte de Mercados …

In this paper, we use spectral methods to detect periodicity in the return pattern of books in
the library. To analyze library circulation data, fourier transformation has been applied. From …

This research studies financial indicators volatility and its influence on key macroeconomic
indicators. The novelty of the given research is in the theoretical and empirical analysis of …