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R. Periyasamy

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Open access Sep 2026

Curriculum-Based Deep Learning for Automated Segmental Left Ventricular Hypertrophy Classification Using Short-Axis Echocardiography

Background: Accurate detection and classification of segmental left ventricular hypertrophy (LVH) are challenging due to rib and reverberation artifacts in two-dimensional short-axis (2D-SAX) echocardiography view. These artifacts lead to ambiguity in the boundaries of the myocardial region. Existing artificial intelli...

R. Periyasamy, Srinivasan Selvaraj, Francis Antony Selvi Pitchaimuthu et al. · 0 citations
Conference Jul 2026

Behavior-Aware Machine Learning Models for Real-Time Personalized Financial Advisory and Portfolio Optimization

Traditional robo-advisory systems are based on static risk profiling and rule-based allocation strategies that do not change according to changing market conditions and changing preferences of the investors, resulting in sub-optimal risk-adjusted performance. This study proposes a behavior-aware personalized portfolio...

R. Madhavi, N. Venkatesh, Gottipati Ashokarao et al. · 0 citations

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