In this paper, an intrusion detection system is introduced that uses data mining and machine learning concepts to detect network intrusion patterns.In the proposed method, an artificial neural network (ANN) is used as a learning technique in intrusion detection.The metaheuristic algorithm with the swarm-based approach is used to reduce intrusion de
The planar –CH=CHC(=O)– Plastic Cable Ties fragment (r.m.s.deviation = 0.074 Å) in the title compound, C18H18O5, connects the planar hydroxydimethoxyphenyl (r.m.s.deviation = 0.039 Å) and methoxylphenyl (r.m.s.deviation = 0.021 Å) parts.The central fragment Battery forms a
Elasmobranchs display various reproductive modes, which have been key to their evolutionary success.In recent decades there has been a rise in the number of reported cases of foetal abnormalities including fertilised, double-embryos held within one egg capsule, hereafter referred to as twins.Previously, the occurrences of twin egg cases have been r
Streptomycin is considered to be one of the effective antibiotics for the treatment of plague.In order to investigate the streptomycin resistance of Y.pestis in China, we evaluated streptomycin susceptibility of 536 Y.pestis strains in China in vitro using the minimal inhibitory concentration (MIC) and screened streptomycin resistance-associated ge
Accurate estimation of three-dimensional (3D) information from captured images is essential in numerous computer vision applications.Although binocular stereo vision has been extensively investigated for this task, its reliability is conditioned by the baseline between cameras.A larger baseline improves the resolution of disparity estimation but in