Intrusion identification has become essential for blocking unwanted traffic in IoT networks. To protect networks and information from various cyber-attacks, a wide range of intrusion detection techniques have been developed. Machine learning, capable of handling massive amounts of data, has demonstrated strong performa...
P. Devi, M. Prasannakumar, M. Revathi et al.· International Workshop on Ar...· 0 citations
The high rate of growth of the digital false information requires detection systems that are able to address the nuance in the language. The standard paradigms of machine learning (ML), example Support Vector Machines on TF-IDF vectorization, may be characterized by significant weaknesses when dealing with semantic amb...
Sandhiya S, Sabidhaa A, M. Revathi et al.· 2026 6th International Confe...· 0 citations
Cardiovascular disease is the leading cause of death worldwide, however, many patients at high risk of cardiovascular disease are never identified until it is too late. The current risk calculators are based on simplistic and linear models with few features that are designed to be accurate for the greater majority and...
S. Sanjay, V. Sanjay, M. Revathi et al.· 2026 6th International Confe...· 0 citations
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