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Ila Shridhar Savant

Biographic Data

ID10129674
NAMEIla Shridhar Savant
GIVEN NAMESIla Shridhar
FAMILY NAMESavant
SIGNATURESAVANT I S
AFFILIATIONSMIT Art, Design and Technology University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Emotion Recognition in Contemporary Art Installations

    Open Access•Swati Chaudhary, Mistry Roma Lalitchandra et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Modern art installations are becoming more and more use of computational systems to provide better interaction with the audience by reading the emotional reactions live. This paper outlines a detailed model of emotion recognition in immersive art setting that combines the theory of human feelings and the developed methods of artificial intelligence. Based on the basic models of emotions including the basic categories of Ekman, the wheel of Plutch…

  • Smart Printing Labs

    Open Access•Vivek Saraswat, Mahi Singh et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    With the development of the printing technology toward automation and smartness, there is the emergence of Smart Printing Labs, areas that involve artificial intelligence (AI), Internet of Things (IoT), and cloud computing to form self-optimizing, data-driven production environments. The evidence in this paper is a framework of AI-Enhanced Smart Printing Lab that can improve operational efficiency and predictive maintenance and managerial decisio…

  • Visual Sentiment Mining in Contemporary Art Reviews

    Open Access•R Shobana, R Shobana R Shobana et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Visual sentiment mining is a recent field of interdisciplinary study with potential to use computational methods to analyze the emotional reactions to visual art. Written by critics, curators and viewers, contemporary art reviews are full of rich affective meanings, which are not only visual stimuli but also cultural context. But the current sentiment analysis methods are mainly text based or geared towards general images and thus cannot capture …

No prominent works on this page.

  • Emotion Recognition in Contemporary Art Installations

    Open Access•Swati Chaudhary, Mistry Roma Lalitchandra et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Modern art installations are becoming more and more use of computational systems to provide better interaction with the audience by reading the emotional reactions live. This paper outlines a detailed model of emotion recognition in immersive art setting that combines the theory of human feelings and the developed methods of artificial intelligence. Based on the basic models of emotions including the basic categories of Ekman, the wheel of Plutch…

  • Smart Printing Labs

    Open Access•Vivek Saraswat, Mahi Singh et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    With the development of the printing technology toward automation and smartness, there is the emergence of Smart Printing Labs, areas that involve artificial intelligence (AI), Internet of Things (IoT), and cloud computing to form self-optimizing, data-driven production environments. The evidence in this paper is a framework of AI-Enhanced Smart Printing Lab that can improve operational efficiency and predictive maintenance and managerial decisio…

  • Visual Sentiment Mining in Contemporary Art Reviews

    Open Access•R Shobana, R Shobana R Shobana et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Visual sentiment mining is a recent field of interdisciplinary study with potential to use computational methods to analyze the emotional reactions to visual art. Written by critics, curators and viewers, contemporary art reviews are full of rich affective meanings, which are not only visual stimuli but also cultural context. But the current sentiment analysis methods are mainly text based or geared towards general images and thus cannot capture …

Aesthetic Perception and Analysis (2 works) · Advanced Data and IoT Technologies (1 works) · Affective Computing (1 works) · Automation (1 works) · Big data (1 works) · Cloud computing (1 works) · Convolutional neural network (1 works) · Digital Transformation in Industry (1 works) · Efficient energy use (1 works) · Emotion and Mood Recognition (1 works)

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