S. Premalatha
Papers
1
Total Citations
10
H-Index
1
About
S. Premalatha is an emerging researcher in artificial intelligence and time series analysis, with a focus on making predictive modeling accessible through modern machine learning tools. Her most cited work, "Introduction to AI Technique and Analysis of Time Series Data Using Facebook Prophet Model" (2023, 10 citations), bridges foundational AI concepts with practical implementation, demonstrating how the Prophet model can be leveraged for robust forecasting tasks. This contribution highlights her ability to demystify complex AI techniques for broader application, particularly in decision-making contexts. While her citation count is still growing, Premalatha’s work signals a commitment to applied AI research that emphasizes reproducibility and real-world utility. Her research interests center on integrating AI methodologies with data-driven analytics, offering valuable insights for students and practitioners seeking to harness time series models in fields like economics, environmental monitoring, and business intelligence. As her publication record expands, Premalatha is poised to make further strides in translating AI theory into actionable tools for data analysis.
Research Focus
Key Achievements
Top Papers
- 1