Anomaly network-based intrusion detection system using a reliable hybrid artificial bee colony and AdaBoost algorithms

Intrusion detection systems (IDSs) has been considered as the main component of a safe network.One of the problems of these security systems is false alarm report of intrusion to the network and intrusion detection accuracy angilina white that happens due to the high volume of network data.This paper proposes a new reliable hybrid method for an ano

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Characterizing Post-Drainage Succession in Thermokarst Lake Basins on the Seward Peninsula, Alaska with TerraSAR-X Backscatter and Landsat-based NDVI Data

Drained thermokarst lake basins accumulate significant amounts of soil organic carbon in the form of peat, which is of interest to understanding carbon cycling and climate change feedbacks associated with thermokarst in the Arctic.Remote sensing is a tool useful for understanding temporal and spatial dynamics of drained basins.In this study, we tes

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