Lakshya Swarup
Biographic Data
| ID | 10128577 |
|---|---|
| NAME | Lakshya Swarup |
| GIVEN NAMES | Lakshya |
| FAMILY NAME | Swarup |
| SIGNATURE | SWARUP L |
| AFFILIATIONS | Chitkara University |
| ORCID | 0009-0006-3351-5248 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Neural Networks in Sound Classification for Art Students
Sound classification has become an important element in contemporary creative practice, in digital art, interactive installation, performance design and multimedia storytelling. For art students, it not only equips a technological basis but also a creative toolkit to design novel expressive modality through neural network understanding of sound: his study of sound emotion mapping hybrid neural network is equipped with CNN-based spectral extractor…
Emotion Recognition in Digital Art Using Deep Learning
The concept of emotion recognition in visual media has been an area of increasing discussion due to the emergence of digital art as a powerful creative art form in the digital realm. Digital art in contrast to photographs can have stylized and exaggerated, or non-realistic visual qualities, which adds further complexity to affective interpretation. This paper examines a framework of deep-learning-based emotion detection in digital art using a com…
Visual Semantics of Ai-Generated Paintings
This paper examines the visual semantics of AI generated paintings focusing on the crossroads between the computational creativity and the aesthetic interpretation of paintings by humans. With the rise of artificial intelligence based on powerful image-generation models, including Generative Adversarial Networks (GANs) and diffusion models, the ability of machines to generate image-based artworks with visual complexity and symbolic richness has i…
Folk Art Tourism Management Using Predictive Systems
Traditional Folk Art Tourism Management has been changed by the incorporation of artificial intelligence and predictive analytics in cultural heritage and tourism. The proposed study will offer a predictive system that can improve the management, promotion, and sustainability of folk art tourism based on data-driven information. The system is predictive of tourists by estimating the number of visitors, seasonal variations, social media usage and …
Analyzing the Efficacy of Digital Tools in Enhancing Imaginative Writing Abilities
Several facets of learning, include imaginative writing transformed from digital technologies. Writing creatively fosters students' creativity and critical thinking abilities, an essential part of literacy education. The long-term effects of digital technologies on imaginative writing skills (IWS), despite the increasing usage. The potential of digital tools diversions might constitute the intended benefits and the application of these technologi…
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Analyzing the Efficacy of Digital Tools in Enhancing Imaginative Writing Abilities
Several facets of learning, include imaginative writing transformed from digital technologies. Writing creatively fosters students' creativity and critical thinking abilities, an essential part of literacy education. The long-term effects of digital technologies on imaginative writing skills (IWS), despite the increasing usage. The potential of digital tools diversions might constitute the intended benefits and the application of these technologi…
Neural Networks in Sound Classification for Art Students
Sound classification has become an important element in contemporary creative practice, in digital art, interactive installation, performance design and multimedia storytelling. For art students, it not only equips a technological basis but also a creative toolkit to design novel expressive modality through neural network understanding of sound: his study of sound emotion mapping hybrid neural network is equipped with CNN-based spectral extractor…
Emotion Recognition in Digital Art Using Deep Learning
The concept of emotion recognition in visual media has been an area of increasing discussion due to the emergence of digital art as a powerful creative art form in the digital realm. Digital art in contrast to photographs can have stylized and exaggerated, or non-realistic visual qualities, which adds further complexity to affective interpretation. This paper examines a framework of deep-learning-based emotion detection in digital art using a com…
Visual Semantics of Ai-Generated Paintings
This paper examines the visual semantics of AI generated paintings focusing on the crossroads between the computational creativity and the aesthetic interpretation of paintings by humans. With the rise of artificial intelligence based on powerful image-generation models, including Generative Adversarial Networks (GANs) and diffusion models, the ability of machines to generate image-based artworks with visual complexity and symbolic richness has i…
Folk Art Tourism Management Using Predictive Systems
Traditional Folk Art Tourism Management has been changed by the incorporation of artificial intelligence and predictive analytics in cultural heritage and tourism. The proposed study will offer a predictive system that can improve the management, promotion, and sustainability of folk art tourism based on data-driven information. The system is predictive of tourists by estimating the number of visitors, seasonal variations, social media usage and …
Aesthetic Perception and Analysis (2 works) · Emotion and Mood Recognition (2 works) · Perception (2 works) · Affective Computing (1 works) · Analytics (1 works) · Architecture (1 works) · Artificial neural network (1 works) · Categorical variable (1 works) · Computational Creativity (1 works) · Computational semantics (1 works)