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Priyatharsini C Priyatharsini C

Biographic Data

ID10129220
NAMEPriyatharsini C Priyatharsini C
GIVEN NAMESPriyatharsini C
FAMILY NAMEPriyatharsini C
SIGNATUREC P C P
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Diabetic Foot Ulcer Classification Using Sequential CNN Algorithm

    Open Access•Priyatharsini C Priyatharsini C, C Priyatharsini et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2024

    The occurrence of diabetic foot ulcers (DFUs) and their possible consequences provide a major healthcare challenge. For prompt care and the avoidance of serious problems, early and accurate detection of DFUs is essential. This study proposes a novel approach for automatic DFU detection utilizing Convolutional Neural Networks (CNNs), a powerful deep learning technique proven effective in image analysis. A large dataset of foot photos covering a va…

  • Tackling Cyberbullying on Social Media a Machine Learning for Effective Detection

    Open Access•C Prem Sankar, Priyatharsini C Priyatharsini C et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2024

    Over the past few years, social media and online social networks (OSN) have seen a sharp rise in popularity. However, the main issues with social media sites and online networks are security and privacy. However, attention must be paid to the grave issue of cyberbullying (CB) on social media platforms. An intentional, tenacious, and forceful reaction The phrase "cyberbullying" (CB) refers to behaviors on information and communication technology (…

No prominent works on this page.

  • Diabetic Foot Ulcer Classification Using Sequential CNN Algorithm

    Open Access•Priyatharsini C Priyatharsini C, C Priyatharsini et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2024

    The occurrence of diabetic foot ulcers (DFUs) and their possible consequences provide a major healthcare challenge. For prompt care and the avoidance of serious problems, early and accurate detection of DFUs is essential. This study proposes a novel approach for automatic DFU detection utilizing Convolutional Neural Networks (CNNs), a powerful deep learning technique proven effective in image analysis. A large dataset of foot photos covering a va…

  • Tackling Cyberbullying on Social Media a Machine Learning for Effective Detection

    Open Access•C Prem Sankar, Priyatharsini C Priyatharsini C et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2024

    Over the past few years, social media and online social networks (OSN) have seen a sharp rise in popularity. However, the main issues with social media sites and online networks are security and privacy. However, attention must be paid to the grave issue of cyberbullying (CB) on social media platforms. An intentional, tenacious, and forceful reaction The phrase "cyberbullying" (CB) refers to behaviors on information and communication technology (…

Artificial Intelligence (2 works) · Computer Science (2 works) · Advanced Malware Detection Techniques (1 work) · Algorithm (1 work) · Artificial Intelligence in Healthcare (1 work) · Bullying, Victimization, and Aggression (1 work) · Diabetes mellitus (1 work) · Diabetic foot (1 work) · Diabetic foot ulcer (1 work) · Diabetic Foot Ulcer Assessment and Management (1 work)

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