Katyayani Katyayani
Papers
1
Total Citations
31
H-Index
1
About
Katyayani Katyayani is a rising researcher in computer vision and deep learning, with a focus on advancing object detection technologies for real-world applications. Her most-cited work, "Deep Learning Approach for Multi-Object Detection Using Yolo Algorithm" (2023), has already garnered 31 citations, reflecting its timely impact on the field. In this study, she explores the You Only Look Once (YOLO) algorithm, a breakthrough method known for its real-time performance and high accuracy, addressing critical challenges in robotics, surveillance, and autonomous vehicles. By demonstrating how deep learning can enhance multi-object detection, Katyayani contributes to making automated systems more efficient and reliable. Her work stands out for bridging theoretical advances with practical deployment, offering insights that benefit both researchers and engineers. As her citation count grows, she is establishing herself as a promising voice in applied AI, with potential to shape future innovations in intelligent vision systems.
Research Focus
Key Achievements
Top Papers
- 1Deep Learning Approach for Multi-Object Detection Using Yolo Algorithm31 citations · 2023