Eeshita Goyal
Biographic Data
| ID | 8967633 |
|---|---|
| NAME | Eeshita Goyal |
| GIVEN NAMES | Eeshita |
| FAMILY NAME | Goyal |
| SIGNATURE | GOYAL E |
| AFFILIATIONS | Noida International University |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predictive Analytics for Employability in Creative Fields
The field of employability assessment is getting revolutionized by predictive analytics in creative industries because it can be used to assess skills, portfolios, and career paths based on data. The creative labor markets (design, visual arts, media, and digital content production) can be described by their heterogeneous skills, subjective quality standards, and quickly changing demand trends, which renders the conventional methods of employabil…
Smart Archiving Systems for Photographic Collections
The need to digitalize cultural heritage materials at a fast rate has highlighted the urgency to develop smart archiving systems that are specific to photographic collections. Conventional, usually manual and piecemeal, photo preservation methods do not address the requirements of high-volume, high-resolution image repositories. Proposed system uses image recognition, semantic tagging, and deep learning-based classification to automate the proced…
Digital Printmaking Through Ai Style Transfer
The practice of digital printmaking is changing due to the combination of computational accuracy and cultural and artistic expression, which artificial intelligence is bringing. The neural style transfer and diffusion-based generative models make it possible to transform the local art culture like Madhubani, Ukiyo-e, and Cubist abstraction into the digital format and capture their cultural identity and accepted modern aesthetics. The use of AI in…
Predictive Models for Art Festival Planning
This paper is a predictive analytics system in the planning of art festivals through the development of complex statistical and machine learning models. The increasing complexity of the festival management due to the variability of attendance, fluctuating budgets, and other external variables like weather and tourism demand data-driven decision support systems. The study draws upon various sources of data including statistics of events in the pas…
Emotion Modeling in Sculpture Design Using Neural Networks
The paper introduces a unified method of designing sculptures on a feeling-sensitive neural network basis. The proposed Emotion-Form Neural Embedding Network (EFNEN) is based on the combination of Convolutional Neural Networks (CNNs) and Graph Neural Networks (GNNs) to learn emotion-related correlations between sculptural form and emotion. The system was trained and tested using a selection of 1,200 annotated 3D models that had both geometric and…
Intelligent Performance Evaluation in Dance Training
The paper discusses how intelligent systems can transform the world of dance training, with a focus on how artificial intelligence, computer vision, affective computing, and immersive technologies may be used to analyze the technical and artistic aspects of the performance. The old-style dance pedagogy is deeply based on human interpretation, which, being abundant in cultural and expressive understanding, is subjective and restricted due to its l…
No prominent works on this page.
Smart Archiving Systems for Photographic Collections
The need to digitalize cultural heritage materials at a fast rate has highlighted the urgency to develop smart archiving systems that are specific to photographic collections. Conventional, usually manual and piecemeal, photo preservation methods do not address the requirements of high-volume, high-resolution image repositories. Proposed system uses image recognition, semantic tagging, and deep learning-based classification to automate the proced…
Digital Printmaking Through Ai Style Transfer
The practice of digital printmaking is changing due to the combination of computational accuracy and cultural and artistic expression, which artificial intelligence is bringing. The neural style transfer and diffusion-based generative models make it possible to transform the local art culture like Madhubani, Ukiyo-e, and Cubist abstraction into the digital format and capture their cultural identity and accepted modern aesthetics. The use of AI in…
Predictive Models for Art Festival Planning
This paper is a predictive analytics system in the planning of art festivals through the development of complex statistical and machine learning models. The increasing complexity of the festival management due to the variability of attendance, fluctuating budgets, and other external variables like weather and tourism demand data-driven decision support systems. The study draws upon various sources of data including statistics of events in the pas…
Emotion Modeling in Sculpture Design Using Neural Networks
The paper introduces a unified method of designing sculptures on a feeling-sensitive neural network basis. The proposed Emotion-Form Neural Embedding Network (EFNEN) is based on the combination of Convolutional Neural Networks (CNNs) and Graph Neural Networks (GNNs) to learn emotion-related correlations between sculptural form and emotion. The system was trained and tested using a selection of 1,200 annotated 3D models that had both geometric and…
Intelligent Performance Evaluation in Dance Training
The paper discusses how intelligent systems can transform the world of dance training, with a focus on how artificial intelligence, computer vision, affective computing, and immersive technologies may be used to analyze the technical and artistic aspects of the performance. The old-style dance pedagogy is deeply based on human interpretation, which, being abundant in cultural and expressive understanding, is subjective and restricted due to its l…
Predictive Analytics for Employability in Creative Fields
The field of employability assessment is getting revolutionized by predictive analytics in creative industries because it can be used to assess skills, portfolios, and career paths based on data. The creative labor markets (design, visual arts, media, and digital content production) can be described by their heterogeneous skills, subjective quality standards, and quickly changing demand trends, which renders the conventional methods of employabil…
Aesthetic Perception and Analysis (3 works) · Analytics (2 works) · Creativity (2 works) · Music Technology and Sound Studies (2 works) · Perception (2 works) · Predictive analytics (2 works) · Predictive modelling (2 works) · 3D Surveying and Cultural Heritage (1 work) · Abstraction (1 work) · Artificial neural network (1 work)