Papers
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Total Citations
2
H-Index
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About
D. Deepika is a rising researcher at the forefront of artificial intelligence, whose work bridges the critical domains of Robotics, Computer Vision (CV), and Natural Language Processing (NLP). Her most-cited paper, "Implementing Machine Learning for AI-Powered Solutions in Robotics, Computer Vision, and Natural Language Processing" (2025), has already garnered 2 citations, signaling early recognition of her contributions. In this work, Deepika explores how machine learning (ML) enables automation of intelligent processing, perception, and human-computer interaction, demonstrating that ML-driven AI solutions are essential for advancing autonomous systems. Her research focuses on integrating ML algorithms to enhance robotic perception, visual recognition, and language understanding, addressing key challenges in real-world AI deployment. Deepika’s work is notable for its interdisciplinary approach, showing how unified ML frameworks can solve problems across traditionally separate fields. As an emerging scholar, her citation trajectory suggests growing influence, and her paper serves as a foundational reference for researchers developing AI-powered systems. Deepika’s contributions are particularly valuable for students and practitioners seeking to understand the practical implementation of ML in creating smarter, more responsive technologies.
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Top Papers
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