K. Maheswari
Papers
2
Total Citations
7
H-Index
2
About
K. Maheswari is a researcher at the forefront of applied artificial intelligence, with a focused expertise in deep learning and patent analytics. Her work centers on developing advanced classification models to streamline the retrieval and organization of technical knowledge, particularly within the rapidly evolving field of service robotics. Maheswari’s major contribution is the creation of a novel patent search classification framework that leverages deep learning architectures to automatically categorize and index patent documents. This innovation addresses a critical bottleneck in innovation management, enabling faster identification of prior art and technological trends. Her most-cited paper, "PATENT SEARCH CLASSIFICATION MODEL FOR SERVICE ROBOTS FIELD USING DEEP LEARNING APPROACH" (2024), has garnered 4 citations, with a closely related SI version receiving 3 citations, signaling early recognition within the engineering and computer science communities. By bridging the gap between patent informatics and AI, Maheswari’s work offers practical tools for researchers and industry professionals navigating the dense landscape of intellectual property. Her achievements underscore a commitment to making technical knowledge more accessible and actionable, positioning her as a promising voice in the intersection of deep learning and intellectual property management.
Research Focus
Key Achievements
Top Papers
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