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K. Priyadharshini

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Open access 2026

N-DQN-RRT: A Hybrid Deep Q-Network Guided RRT Algorithm for an Efficient Path Planning in Two-Dimensional Environments

Autonomous navigation requires path-planning algorithms that can find safe and efficient routes while avoiding obstacles. Classical sampling-based planners such as Rapidly-exploring Random Tree (RRT) and RRT* are widely used because they are flexible and easy to apply in different environments. However, these methods o...

Wai Yan Naing Win, K. Kanagalakshmi, K. Priyadharshini et al. · 0 citations
Conference Aug 2026

An Enhanced Deep Learning Techniques for Precise Breast Cancer Forecasting via Clinical Data Analysis

Cancer is still an acute issue because of the variability in the characteristics of its diagnosis and possibilities of false negative results in clinical examination. Single architecture deep learning models and machine learning models do lead to their inability to generalize successfully with dissimilar datasets, thus...

K. Priyadharshini, A. Meenakshi · 0 citations

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