Kuldeep Chauhan
Papers
1
Total Citations
6
H-Index
1
About
Kuldeep Chauhan is a researcher at the forefront of artificial intelligence, specializing in computer vision and machine learning, with a particular focus on convolutional neural networks (CNNs). His work has been instrumental in advancing image recognition technologies, as demonstrated in his highly cited 2021 review, "Computer vision and machine learning for image recognition: A review of the convolutional neural network (CNN) model," which has garnered 6 citations. This paper synthesizes the transformative role of CNNs across diverse applications—from pattern identification and voice recognition to biometric embedded vision, food recognition, and video analysis for surveillance, industrial robotics, and autonomous vehicles. Chauhan’s contributions highlight the versatility of deep learning architectures in solving real-world challenges, bridging theoretical advances with practical deployment. His research underscores the critical impact of CNNs in enabling machines to interpret visual data with unprecedented accuracy, influencing fields ranging from security to automation. By providing a comprehensive overview of CNN methodologies, Chauhan has helped guide both newcomers and experts in leveraging these models for innovative solutions, cementing his role as a key contributor to the evolution of intelligent vision systems.
Research Focus
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Top Papers
- 1