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Partha Sarkar

Biographic Data

ID10055829
NAMEPartha Sarkar
GIVEN NAMESPartha
FAMILY NAMESarkar
SIGNATURESARKAR P
AFFILIATIONSNational Institute of Technology Durgapur
ORCID0000-0002-7681-3994
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR1
FIRST PUBLICATION YEAR2009
LATEST PUBLICATION YEAR2023
H-INDEX0
  • IoT-Based Federated Learning Model for Hypertensive Retinopathy Lesions Classification

    Open Access•Mukesh Soni, Nikhil Kumar Singh et al.•ARTICLE•IEEE Transactions on Computational…•2023

    Traditional classification algorithms struggle to categorize hypertensive retinopathy (HR) lesions correctly because they lack obvious characteristics. A regional IoT-enabled federated learning-based HR categorization approach (IoT-FHR) incorporating global and local attributes is suggested as a solution to this issue. The local feature arterial and venous nicking (AVN) classification model is fused with the overall IoT-FHR classification model t…

  • The Politics of Social Exclusion in India

    Harihar Bhattacharyya, Partha Sarkar et al.•EDITOR•BOOK•The politics of social exclusion…•2009

No prominent works on this page.

  • The Politics of Social Exclusion in India

    Harihar Bhattacharyya, Partha Sarkar et al.•EDITOR•BOOK•The politics of social exclusion…•2009

  • IoT-Based Federated Learning Model for Hypertensive Retinopathy Lesions Classification

    Open Access•Mukesh Soni, Nikhil Kumar Singh et al.•ARTICLE•IEEE Transactions on Computational…•2023

    Traditional classification algorithms struggle to categorize hypertensive retinopathy (HR) lesions correctly because they lack obvious characteristics. A regional IoT-enabled federated learning-based HR categorization approach (IoT-FHR) incorporating global and local attributes is suggested as a solution to this issue. The local feature arterial and venous nicking (AVN) classification model is fused with the overall IoT-FHR classification model t…

1947 (1 work) · Artificial Intelligence (1 work) · Artificial neural network (1 work) · Categorization (1 work) · Civil rights (1 work) · Computer Science (1 work) · Contextual image classification (1 work) · Feature extraction (1 work) · Human rights (1 work) · Income, Poverty, and Inequality (1 work)

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