Abhishek C. Sawant

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The aim of this study is to simulate a network traffic ana-lyzer that is part of an Intrusion Detection System-IDS, the main focus of research is data. The construction of traditional intrusion detection systems (IDSs) that use manually created rules based upon expert knowledge is knowledge-intensive. traffic analysis and anomaly intrusion detection systems(More)
BACKGROUND Exercise is associated with age‐related penetrance and arrhythmic risk in carriers of arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD/C)‐associated desmosomal mutations; however, its role in patients without desmosomal mutations (gene‐elusive) is uncertain. This study investigates whether exercise is (1) associated with onset of(More)
The construction of traditional intrusion detection systems (IDSs) that use manually created rules based upon expert knowledge is knowledge-intensive. Feature Selection Based Hybrid Anomaly Intrusion Detection System Using K Means The proposed hybrid technique combines data mining approaches like K. ABSTRACT The aim of this study is to simulate a network(More)
OBJECTIVES To characterise pregnancy course and outcomes in women with arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD/C). METHODS From a combined Johns Hopkins/Dutch ARVD/C registry, we identified 26 women affected with ARVD/C (by 2010 Task Force Criteria) during 39 singleton pregnancies >13 weeks (1-4 per woman). Cardiac symptoms,(More)
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