Different soft-computing based methods have been proposed in recent years for the development of intrusion detection systems.The purpose of this work is to development, implement and evaluate an anomaly off-line based intrusion detection system using three techniques; data mining association rules, decision trees, and artificial neural network, the
All technical systems have been designed to perform their intended tasks in a specific ambient.Some systems can perform their tasks in a variety of distinctive levels.A system that can have a finite number of performance rates is called a multi-state system.Generally multi-state system is consisted of components that they also Yin Chiao can be mult
The objective of this study is to investigate the potential of novel neural network architectures for measuring the quality and quantity parameters of silage grass swards, using drone RGB and hyperspectral images (HSI), and Optical Drive compare the results with the random forest (RF) method and handcrafted features.The parameters included fresh an
Among the wide range of scientific meetings, seminars, conferences and congresses that are held under the common denominator of Geography, it is not very usual to encounter the issue of nature protection.It is therefore very satisfying to see that the UGI Bathroom Fixtures had paid special attention to this issue at its 1994 Regional Gonference, be
Background and objectiveGlycation is a common post-transcriptional modification of proteins.Previous studies have shown that advanced glycation end modified transferrin (AGE-Tf) levels in diabetic rat kidney tissues were increased; however, its role in diabetic nephropathy remains unclear.In this study, differences in glycation degree and Tf sites