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Salma Firdose

Biographic Data

ID10129743
NAMESalma Firdose
GIVEN NAMESSalma
FAMILY NAMEFirdose
SIGNATUREFIRDOSE S
AFFILIATIONSPresidency University
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Sentiment-Based Color Schemes

    Open Access•Salma Firdose, Mohd Faisal et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Sentiment analysis Sentiment analysis and computational color modeling (SACM) represents a radical new method of visual attractiveness prediction in digital media, advertising, design, and user-centric visual systems. The paper presents the idea of using artificial intelligence to trace the emotional signs identified in the text, image, and user interactions onto the color palette that maximizes aesthetic appeal and psychological effect. Based on…

No prominent works on this page.

  • Sentiment-Based Color Schemes

    Open Access•Salma Firdose, Mohd Faisal et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Sentiment analysis Sentiment analysis and computational color modeling (SACM) represents a radical new method of visual attractiveness prediction in digital media, advertising, design, and user-centric visual systems. The paper presents the idea of using artificial intelligence to trace the emotional signs identified in the text, image, and user interactions onto the color palette that maximizes aesthetic appeal and psychological effect. Based on…

Aesthetic Perception and Analysis (1 work) · Artificial neural network (1 work) · Color perception and design (1 work) · Convolutional neural network (1 work) · Feature extraction (1 work) · Preference (1 work) · Preprocessor (1 work) · Sentiment analysis (1 work) · Visual Attention and Saliency Detection (1 work) · Visualization (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae