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        Advancing object detection models: an investigation focused on small object detection in complex scenes 

        Sundaralingam, Harish (2025)
        Small object detection remains a persistent challenge in computer vision, especially in safetycritical applications, such as autonomous driving and aerial surveillance, where objects of interest often occupy only a few ...
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        Enhancing semantic segmentation: architectural innovations and strategies for label-efficient learning 

        Suresh, Tharrengini (2025)
        Semantic segmentation is a fundamental component of modern computer vision applications. Although supervised learning models have achieved state-of-the-art performance in this domain, they rely heavily on large volumes ...
      • Integrating multi-omics data via latent space construction for breast and bladder cancer analysis 

        Boominathan, Arvind Chidambaram (2025)
        Cancer remains one of the most complex and heterogeneous diseases, driven by intricate interactions across genetic, epigenetic, and transcriptional landscapes. Accurately understanding and predicting tumor characteristics, ...

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