Intrusion detection technology for network attacks is developing rapidly with the development of artificial intelligence technology. Recently, machine learning-based methods that can detect new types have been developed. To improve classification performance rare classes in intrusion dataset, we study efficient data preprocessing method based on learning. The UNSW-NB15, a well-known used experi...

abstract process of evapotranspiration (eto) is a major component of the hydrologic cycle that its accurate estimation plays an important role to achieve sustainable development in water balance, irrigation system design and planning and management of water resources. being a function of different metrological parameters and their interactions, evapotranspiration is a complex, nonlinear phenome...

To enable optical interconnect fluidity in next-generation data centers, we propose adaptive transmission based on machine learning a wavelength-routing network. We consider programmable transmitters that can apply N possible code rates to connections predicted bit error rate (BER) values. classify the BER, employ preprocessing algorithm feed traffic neural network classifier. demonstrate signi...