• Mirror Theory and its Applications in Cryptography 

  Saha, Abishanka (Indian Statistical Institute, Kolkata, 2024-07)

  The indistinguishability security of a cryptographic construction refers to the maximum advantage of an interactive adversary to distinguish between the real and ideal world, where in the real world it interacts with the ...
• A Lightweight Multi-Attention Deep Architecture for Liver Tumor Segmentation with Limited Samples 

  Nag, Chandradipa (Indian Statistical Institute, Kolkata, 2024-06)

  Liver tumor segmentation from CT images is of paramount importance in medical image analysis. Accurate segmentation of liver tumor is crucial for effective diagnosis and treatment planning in hepatocellular carcinoma and ...
• Template driven rainbow coloring of graphs 

  Bhuvandeep (Indian Statistical Institute, Kolkata, 2024-06)

  Abstract
• Harnessing the Power of Deep Neural Networks for Accurate Leaf Disease Identification 

  Mondal, Avir (Indian Statistical Institute, Kolkata, 2024-06)

  Many countries around the world depends on agriculture, as it helps reduce poverty, increase national income, and improve food security. However, plant diseases often impact food crops, leading to significant annual ...
• Leveraging software engineering frameworks, methods and tools to automate CRM pre-sales in real estate applications 

  Ray, Parthasarathi (Indian Statistical Institute, Kolkata, 2024)

  In this thesis, we leverage the learning from Essence, a “language and kernel“ of Software Engineering, which has resulted from the efforts of the SEMAT initiative founded to bring together industry, research and education ...

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