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Muthu Subash Kavitha on Muck Rack

Muthu Subash Kavitha

As seen in: Nature, MDPI
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Articles

A fusion approach using GIS, green area detection, weather API and GPT for satellite image based fertile land discovery and crop suitability - Scientific Reports

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By Muthu Subash Kavitha
| Nature Verified
Abstract Proper utilization of agricultural land is a big challenge as they often laid over as waste lands. Farming is a significant occupation in any country and improving it further by promoting more farming opportunities will take the country towards making a huge leap forward. The issue in achieving this would be the lack of knowledge of cultivable land for food crops.
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A Foreground Prototype-Based One-Shot Segmentation of Brain Tumors

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By Ananthakrishnan Balasundaram, Muthu Subash Kavitha, Yogarajah Pratheepan, Dhamale Akshat
| MDPI
Abstract : The potential for enhancing brain tumor segmentation with few-shot learning is enormous. While several deep learning networks (DNNs) show promising segmentation results, they all take a substantial amount of training data in order to yield appropriate results. Moreover, a prominent problem for most of these models is to perform well in unseen classes.
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Exploring the Capabilities of a Lightweight CNN Model in Accurately Identifying Renal Abnormalities: Cysts, Stones, and Tumors, Using LIME and SHAP

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By Mohan Bhandari, Muthu Subash Kavitha, Joan Condell, Pratheepan Yogarajah
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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