Prince Kumar
Biographic Data
| ID | 6606396 |
|---|---|
| NAME | Prince Kumar |
| GIVEN NAMES | Prince |
| FAMILY NAME | Kumar |
| SIGNATURE | KUMAR P |
| AFFILIATIONS | Noida International University |
| ORCID | 0000-0001-8933-7571 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Adaptive Ai-Tutors for Theatre and Drama Education
Theatrical and dramatical pedagogy is based on the embodied and experiential learning processes where feedback plays a central role but is usually subjective, delayed, and hard to scale. The paper describes a flexible AI-tutor that can integrate with real-time, post-performance feedback to enhance the instruction of drama in the studio utilizing pedagogical theory. The suggested system includes the fusion of multimodal sensing (vocal, sight, and …
Adaptive Ai-Tutors for Theatre and Drama Education
Artificial intelligence in arts education is an opportunity that opens the possibilities of personalized and immersive learning. This paper suggests a proposal of Adaptive AI-Tutor focused specifically on teaching theatre and drama by improving the skills of performance, interpreting scripts, expressing emotions, and being present on the stage with the help of intelligent and data-oriented advice. As opposed to traditional e-learning systems, the…
Deep Reinforcement Learning for Dance Pose Optimization
Deep Reinforcement Learning (DRL) has become an effective framework of sequential decision-making in high-dimensional and complex control problems, but little has been done to apply it to expressive human movement. This work is a unified DRA algorithm to optimize a dance pose, which an intelligent agent is trained to produce the smooth and stable dance pose and aesthetically compose a pose in a simulated kinematic environment. Generation of dance…
Reinforcing Cultural Narratives Using Ai-Generated Digital Art
The paper examines the ways in which artificial intelligence (AI) can support and redefine the cultural discourse, using digital art as a medium. Focusing on the combination of generative AI like StyleGAN2 and Stable Diffusion into a set of traditional folk motifs, the research creates an algorithmic framework of cultural semiotics, which considers AI as a collaborative meaning-making agent. Taking the case study of Madhubani art, the study is an…
Ai-Powered Beat Detection and Its Educational Uses
AI powered beat recognition is a huge step forward in audio signal processing since it brings together the power of machine learning and the intricate rhythms of music. Earlier methods for the search of beats were based on energy analysis of the signal and frequency decomposition, which were many times limited by the variation of the pace, the type and the quality of the recordings. Nowadays, deep learning has led to the ability of computer syste…
Data Visualization as Artistic Expression
The data visualization has not only become a more communicative, rather than an aesthetic practice, but also rather an artistic one, where datasets can cease to be the input of information, but a resource of expression that might elicit an emotional reaction, a story, and a cultural background. The paper will consider data visualization as an art form by following the history and theoretical context of data visualization beginning with the early …
Machine Vision for Analyzing Contemporary Sculptures
Incorporation of machine vision in the current analysis of sculpture brings a paradigm shift in the art documentation, interpretation, and preservation. This paper presents computational paradigms that incorporate state-of-the-art techniques of computer vision with aesthetic criticalism to assess sculptural structure, materiality and style. The study uses very high resolution images and 3D scans of contemporary sculptures to develop an elaborate …
Ai in Managing Online Art Auctions
The traditional systems of auction that used to rely on manual skills and face-to-face interaction have shifted to hybrid and fully digital frameworks that use AI to become efficient and accurate. The algorithms used in machine learning are Decision Tree Regression and Support Vector Regression (SVR) to determine the optimal pricing basing on the past sales records, reputation of the artist and the market. Computer vision tools can help in recogn…
Cardiovascular diseases display etiological and seasonal trend in human population: Evidence from seasonal cardiovascular comorbid diseases (SCCD) index
Seasonal changes in the human cardiovascular system are known to play an important role in the onset of many diseases. Confounding variables include behavioral and environmental factors; failing to address such variables makes measuring the true temporal impact of these diseases difficult. On the other hand, numerous clinical studies imply that only specific groups of people are more seasonal sensitive and that their maladaptation might contribut…
Poor healthcare capacity in Afghanistan amidst a surge in Covid-19 cases and a humanitarian crisis
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Poor healthcare capacity in Afghanistan amidst a surge in Covid-19 cases and a humanitarian crisis
Cardiovascular diseases display etiological and seasonal trend in human population: Evidence from seasonal cardiovascular comorbid diseases (SCCD) index
Seasonal changes in the human cardiovascular system are known to play an important role in the onset of many diseases. Confounding variables include behavioral and environmental factors; failing to address such variables makes measuring the true temporal impact of these diseases difficult. On the other hand, numerous clinical studies imply that only specific groups of people are more seasonal sensitive and that their maladaptation might contribut…
Deep Reinforcement Learning for Dance Pose Optimization
Deep Reinforcement Learning (DRL) has become an effective framework of sequential decision-making in high-dimensional and complex control problems, but little has been done to apply it to expressive human movement. This work is a unified DRA algorithm to optimize a dance pose, which an intelligent agent is trained to produce the smooth and stable dance pose and aesthetically compose a pose in a simulated kinematic environment. Generation of dance…
Reinforcing Cultural Narratives Using Ai-Generated Digital Art
The paper examines the ways in which artificial intelligence (AI) can support and redefine the cultural discourse, using digital art as a medium. Focusing on the combination of generative AI like StyleGAN2 and Stable Diffusion into a set of traditional folk motifs, the research creates an algorithmic framework of cultural semiotics, which considers AI as a collaborative meaning-making agent. Taking the case study of Madhubani art, the study is an…
Ai-Powered Beat Detection and Its Educational Uses
AI powered beat recognition is a huge step forward in audio signal processing since it brings together the power of machine learning and the intricate rhythms of music. Earlier methods for the search of beats were based on energy analysis of the signal and frequency decomposition, which were many times limited by the variation of the pace, the type and the quality of the recordings. Nowadays, deep learning has led to the ability of computer syste…
Data Visualization as Artistic Expression
The data visualization has not only become a more communicative, rather than an aesthetic practice, but also rather an artistic one, where datasets can cease to be the input of information, but a resource of expression that might elicit an emotional reaction, a story, and a cultural background. The paper will consider data visualization as an art form by following the history and theoretical context of data visualization beginning with the early …
Machine Vision for Analyzing Contemporary Sculptures
Incorporation of machine vision in the current analysis of sculpture brings a paradigm shift in the art documentation, interpretation, and preservation. This paper presents computational paradigms that incorporate state-of-the-art techniques of computer vision with aesthetic criticalism to assess sculptural structure, materiality and style. The study uses very high resolution images and 3D scans of contemporary sculptures to develop an elaborate …
Ai in Managing Online Art Auctions
The traditional systems of auction that used to rely on manual skills and face-to-face interaction have shifted to hybrid and fully digital frameworks that use AI to become efficient and accurate. The algorithms used in machine learning are Decision Tree Regression and Support Vector Regression (SVR) to determine the optimal pricing basing on the past sales records, reputation of the artist and the market. Computer vision tools can help in recogn…
Adaptive Ai-Tutors for Theatre and Drama Education
Theatrical and dramatical pedagogy is based on the embodied and experiential learning processes where feedback plays a central role but is usually subjective, delayed, and hard to scale. The paper describes a flexible AI-tutor that can integrate with real-time, post-performance feedback to enhance the instruction of drama in the studio utilizing pedagogical theory. The suggested system includes the fusion of multimodal sensing (vocal, sight, and …
Adaptive Ai-Tutors for Theatre and Drama Education
Artificial intelligence in arts education is an opportunity that opens the possibilities of personalized and immersive learning. This paper suggests a proposal of Adaptive AI-Tutor focused specifically on teaching theatre and drama by improving the skills of performance, interpreting scripts, expressing emotions, and being present on the stage with the help of intelligent and data-oriented advice. As opposed to traditional e-learning systems, the…
Aesthetic Perception and Analysis (4 works) · Art History and Market Analysis (2 works) · Convolutional neural network (2 works) · Drama (2 works) · Emotion and Mood Recognition (2 works) · Generative grammar (2 works) · Human Motion and Animation (2 works) · Medicine (2 works) · Music Technology and Sound Studies (2 works) · Visualization (2 works)