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The primary objective is to apply Machine Learning and Pattern Recognition techniques, emphasizing their practical applications in addressing key challenges within Computer Vision. This involves delving into diverse data and thoroughly examining Pattern Recognition methods. By doing so, we aim to gain a deeper understanding of vital areas within Computer Vision, including Time Series Data Analysis, Autonomous Vehicles, Health Care, and Virtual R
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Our vision is centered on developing cutting-edge technology to address specific challenges in the realms of restoring, recognizing, and preserving historical documents, as well as post-harvest and precision farming methods. We aim to learn about the problems and issues associated with automated image analysis algorithms and techniques from the perspective of both Document Image Analysis and Agriculture-related processing methods. By combining o
The TAG initiative is deeply committed to providing practical, actionable solutions tailored to the unique needs of informal entrepreneurs in India. Our overarching goal is to facilitate the integration of informal sector workers into the formal economy while concurrently addressing a spectrum of challenges spanning social, economic, and operational domains. This multifaceted mission hinges on our interdisciplinary research approach, which enabl
The utilization of Bernstein polynomials in constructing and numerically integrating bivariate fractal interpolation functions is a prominent research focus. It involves the construction and numerical integration of these functions over various domains. Furthermore, a significant aspect of this field pertains to the fixed-point results derived for the sum of two operators and their application in solving differential equations. In a related cont
Our research is centered around the intriguing field of photoionization studies of multiply charged ions, a topic that holds great significance in the realms of both fundamental science and practical applications. Delving into this area allows us to unravel the intricate relationships between electrons, shedding light on electron correlation and the influence of relativistic effects. These insights are invaluable for understanding the behavior o
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