J.V. Vidhya

Papers

Total Citations

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About

Dr. J.V. Vidhya is a dedicated researcher in the fields of artificial intelligence, data analytics, and robotics, with a particular focus on time series data analysis and neural network applications. Her most cited work, "Classification of robotic data using artificial neural network" (2013, 10 citations), demonstrates her early and impactful contribution to applying Artificial Neural Networks (ANN) for extracting meaningful patterns from complex, high-volume time series data—a challenge central to both scientific and commercial domains. This foundational research showcases her ability to bridge theoretical machine learning techniques with practical robotic data classification, offering valuable insights for intelligent automation. Dr. Vidhya’s work contributes to the growing body of knowledge on how neural networks can efficiently process and interpret sequential data, a critical capability for modern robotics and sensor-based systems. Her research continues to inspire students and practitioners exploring the intersection of AI and real-world data challenges, underscoring the importance of robust analytical methods in advancing autonomous technologies.