Diabetes risk has become one of the most acute concerns in modern healthcare. The rising global prevalence of the disease increases the need for early intervention. The proposed X-DiaRisk framework is a comprehensive solution of automated risk prediction of diabetes based on systematized healthcare information. The pro...
Tejashwin Baskaran, Siddharth Malik, Vaishnavi Jayaraman et al.· 2026 International Conferenc...· 0 citations
Many organizations face increasing risk from the insider threats where employees misuse the legitimate access to compromise sensitive data or systems. It is often complex in detecting the using the traditional ways. To address this issue, CausalXBoost framework was proposed which is detects the malicious behavior with...
Vaishnavi Jayaraman, Harvin Krishnan H, Vishaal Rgs et al.· International Conference Com...· 0 citations
Phishing emails are still a major cybersecurity risk because of more sophisticated social engineering methods. Many traditional detection techniques are losing effectiveness. The increasing complexity and variety of spoofing attacks require better observation systems. Within this research, a comparative foundation is p...
Chayan Mondal Abir, Proshen Das, Vaishnavi Jayaraman et al.· 2026 International Conferenc...· 0 citations
Air pollution in Delhi has reached dangerous levels, necessitating accurate and dependable Air Quality Index (AQI) forecasts for timely intervention. However, traditional monitoring methods and stand-alone machine learning algorithms frequently fail to capture the complex, nonlinear relationships between contaminants a...
J. M., Pagalavan N, S. Parthasarathy et al.· International Conference on...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
