DN

Dr. Salini S Nair

Sree Narayana Institute of Technology

ORCID iD 0009-0002-8624-7890

About

Educator and Researcher interested in artificial intelligence, deep learning, medical image analysis, transfer learning, and feature extraction techniques for biomedical applications.

Employment

  • Sree Narayana Institute of Technology Assistant Professor
    2012 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

  • The Cognitive Shift: Navigating the Future of Minds and Machines
    Integrated Publications 2026 DOI: 10.62778/int.book.692
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  • Automated identification of breast cancer type using novel multipath transfer learning and ensemble of classifier
    IEEE Access 2024 DOI: 10.1109/access.2024.3415482
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  • Grading Breast Ductal Carcinomas using Spatial Activation Map Coupled Vision Transformers
    Journal of Electrical Systems 2024
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  • A Novel Feature Fusion for the Classification of Histopathological Carcinoma Images
    International Journal of Advanced Computer Science and Applications 2023 DOI: 10.14569/ijacsa.2023.0140972
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  • Cloud-Based Multimedia Content Protection
    International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET) 2019
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  • Random DNA Encoding with DNA Cryptography and AES Encryption Algorithm to Enhance Data Security in Encrypted Cloud Domain
    International Conference on Emerging Trends in Engineering and Technology (ICETET-2029) 2019
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  • Reversible Secure Image Data Hiding over Encrypted Domain using Key Modulation
    International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET) 2019
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  • A Review on Data Security Issues, Challenges and Its Possible Solutions in Cloud Computing Environment
    Journal of Management and Innovative Information Technology 2019
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  • A multi-phase method for Indian license plate localization based on bottom-hat transform
    Journal of Management and Innovative Information Technology 2017
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  • A SURVEY ON APPLYING HANDCRAFTED AND LEARNED FEATURE EXTRACTION FOR BREAST CANCER CLASSIFICATION USING MACHINE LEARNING AND DEEP LEARNING ALGORITHMS
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