Kalpana Rawat
Biographic Data
| ID | 8968301 |
|---|---|
| NAME | Kalpana Rawat |
| GIVEN NAMES | Kalpana |
| FAMILY NAME | Rawat |
| SIGNATURE | RAWAT K |
| AFFILIATIONS | Noida International University |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predictive Analytics for Print Supply Chain Management
Predictive analytics have become one of the most important facilitators of data-driven decision-making in supply chain management, yet the system is not actively used in the print industry, despite the growth of the complexity of operations and the unpredictability of demand. The nature of print supply chain is also marked by job production, non-homogeneous materials, short-term planning, and inflexible delivery schedules that diminish the effici…
Digital Archiving of Folk Art Through Machine Learning
Computational problems in the digital preservation of folk art are distinct because of the visual diversities, long tail distributions of motifs, and incomplete meta-data. The proposed paper presents a machine learning-based intelligent system of digital archiving folk art, which incorporates the visual feature learning, the automatic mechanisms of semantic enrichment, and the scaling of the retrieval mechanisms. The method uses both a hybrid con…
Ai-Enabled Peer Review in Visual Education
It may change the sphere of visual education that provides one of the most significant processes of learning comment and criticism with the introduction of artificial intelligence (AI) into the peer review system. The study examines how, why, and what impacts an AI-enabled peer review system can be designed and utilized in the art, design, and visual communication domains. The use of traditional peer review in visual education is useful in pedago…
Integrating Ai Photography Tools in Design Courses
The incorporation of Artificial Intelligence (AI) photography tools in design pedagogy is a revolutionary move towards rethinking creative pedagogy. This paper examines how AI-powered systems, including generative, editing, and enhancement software, are changing the conceptual, production, and critique of visual work by design students. The research, through a series of surveys, interviews and case studies by using students, educators and creativ…
Evaluating Ai-Generated Images in Fine Art Education
This paper discusses the ways in which AI image-generation software, including DALL•E, Midjourney and Stable Diffusion can be assessed and used in art-learning contexts successfully. The study deals with a significant gap in the comprehension: although AI systems can create aesthetically vivid images, their educative, artistic authenticity, and the effect they have on the creative imagination of students is a poorly studied issue. In the form of …
Augmented Reality and Ai in Public Art Management
Public art management is becoming increasingly challenged by the swift urbanization, disjointed governance, a lack of interaction with the audience, and a requirement to make data-driven decisions. Artificial Intelligence (AI) and Augmented Reality (AR) have the potential to revolutionize the way people visualize, plan, and monitor and experience public artworks. In this paper, the author suggests an AR-AI framework of managing the public art tha…
Folk Art Recognition Using Deep Learning Algorithms
The given work offers a deep learning-driven architecture of identifying Indian folk art traditions with the help of a hybrid framework that integrates convolutional networks and Vision Transformers and CLIP-driven semantic alignment. A curated and annotated multi-source dataset was prepared based on a culturally informed tradition, region and sub style taxonomy. The issues of visual diversity and imbalance of the classes were resolved with rigor…
Deep Learning for Gesture Analysis in Performance Training
Gesture analysis is an important element in performance training in various areas including dance, sports, theatre, music and rehabilitation, whereby accurate movement of the body, time and expressiveness is important to the overall quality. The method of traditional gesture evaluation is biased on professional observation, and this method is subjective, cumbersome and cannot be scaled. This paper describes a deep learning-based gesture recogniti…
Hybrid Intelligence in Art Studio Management
The art studios also have a turn in their management to a new transformative change which is the emergence of Hybrid Intelligence (HI) a combination of human creative power and the power of artificial intelligence. This paper discusses how HI frameworks may change creative processes, decision-making, and efficiency of functioning in studios of modern art. Exploring the relationship between cognitive reinforcement and computer automation, the rese…
No prominent works on this page.
Ai-Enabled Peer Review in Visual Education
It may change the sphere of visual education that provides one of the most significant processes of learning comment and criticism with the introduction of artificial intelligence (AI) into the peer review system. The study examines how, why, and what impacts an AI-enabled peer review system can be designed and utilized in the art, design, and visual communication domains. The use of traditional peer review in visual education is useful in pedago…
Integrating Ai Photography Tools in Design Courses
The incorporation of Artificial Intelligence (AI) photography tools in design pedagogy is a revolutionary move towards rethinking creative pedagogy. This paper examines how AI-powered systems, including generative, editing, and enhancement software, are changing the conceptual, production, and critique of visual work by design students. The research, through a series of surveys, interviews and case studies by using students, educators and creativ…
Evaluating Ai-Generated Images in Fine Art Education
This paper discusses the ways in which AI image-generation software, including DALL•E, Midjourney and Stable Diffusion can be assessed and used in art-learning contexts successfully. The study deals with a significant gap in the comprehension: although AI systems can create aesthetically vivid images, their educative, artistic authenticity, and the effect they have on the creative imagination of students is a poorly studied issue. In the form of …
Augmented Reality and Ai in Public Art Management
Public art management is becoming increasingly challenged by the swift urbanization, disjointed governance, a lack of interaction with the audience, and a requirement to make data-driven decisions. Artificial Intelligence (AI) and Augmented Reality (AR) have the potential to revolutionize the way people visualize, plan, and monitor and experience public artworks. In this paper, the author suggests an AR-AI framework of managing the public art tha…
Folk Art Recognition Using Deep Learning Algorithms
The given work offers a deep learning-driven architecture of identifying Indian folk art traditions with the help of a hybrid framework that integrates convolutional networks and Vision Transformers and CLIP-driven semantic alignment. A curated and annotated multi-source dataset was prepared based on a culturally informed tradition, region and sub style taxonomy. The issues of visual diversity and imbalance of the classes were resolved with rigor…
Deep Learning for Gesture Analysis in Performance Training
Gesture analysis is an important element in performance training in various areas including dance, sports, theatre, music and rehabilitation, whereby accurate movement of the body, time and expressiveness is important to the overall quality. The method of traditional gesture evaluation is biased on professional observation, and this method is subjective, cumbersome and cannot be scaled. This paper describes a deep learning-based gesture recogniti…
Hybrid Intelligence in Art Studio Management
The art studios also have a turn in their management to a new transformative change which is the emergence of Hybrid Intelligence (HI) a combination of human creative power and the power of artificial intelligence. This paper discusses how HI frameworks may change creative processes, decision-making, and efficiency of functioning in studios of modern art. Exploring the relationship between cognitive reinforcement and computer automation, the rese…
Predictive Analytics for Print Supply Chain Management
Predictive analytics have become one of the most important facilitators of data-driven decision-making in supply chain management, yet the system is not actively used in the print industry, despite the growth of the complexity of operations and the unpredictability of demand. The nature of print supply chain is also marked by job production, non-homogeneous materials, short-term planning, and inflexible delivery schedules that diminish the effici…
Digital Archiving of Folk Art Through Machine Learning
Computational problems in the digital preservation of folk art are distinct because of the visual diversities, long tail distributions of motifs, and incomplete meta-data. The proposed paper presents a machine learning-based intelligent system of digital archiving folk art, which incorporates the visual feature learning, the automatic mechanisms of semantic enrichment, and the scaling of the retrieval mechanisms. The method uses both a hybrid con…
Aesthetic Perception and Analysis (5 works) · Convolutional neural network (4 works) · Deep learning (3 works) · Architecture (2 works) · Art, Technology, and Culture (2 works) · Creativity (2 works) · Cultural heritage (2 works) · Digital Media and Visual Art (2 works) · Ethics and Social Impacts of AI (2 works) · Generative Adversarial Networks and Image Synthesis (2 works)