Suhas Bhise
Biographic Data
| ID | 8967478 |
|---|---|
| NAME | Suhas Bhise |
| GIVEN NAMES | Suhas |
| FAMILY NAME | Bhise |
| SIGNATURE | BHISE S |
| AFFILIATIONS | International Institute of Information Technology |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Yoga Philosophy and Aesthetic Experience in Indian Performing Arts
Indian performing arts have been influenced over a long time by yoga philosophy, which highlights harmony of body, mind and consciousness. The study examines how yogic practices are correlated with aesthetic experience in the traditional Indian performance traditions. The paper discusses the role of the principles based on the philosophy of classical yoga in artistic discipline, expressive eloquence, and interaction with the audience. Analysis of…
Designing Emotion-Sensitive Interactive Art Using Biometric Sensors and Adaptive Computing Models
The dynamic terminal to technology and human perception, creativity and human expression, an emotion-sensitive interactive art is where creative art is capable of responding to the emotional state of the involved participants. The paper will give an elaborate layout of the evolution of adaptive art systems through the multimodal biometric sensor and intelligent computing model. Physiological stimuli to acquire real-time emotional stimuli are elec…
Evaluating the Creative Potential of Stable Diffusion Models in Concept Art Pipelines
Stable Diffusion models have become a groundbreaking technology in the field of generative artificial intelligence that has impacted concept art pipelines in the world of creative industries. This paper will assess the artistic capabilities of Stable Diffusion through the lens of its capability to produce high-quality, heterogeneous, and contextual visual images based on textual prompting. This study examines the main aspects such as dataset sele…
Human–ai Co-Creation Models in Conceptual Art
Human-ai co-creation is an important paradigm in the modern conceptual art, whereby ideas, processes and systems are prioritized over material form. This paper explores formal frameworks of human-AI collaborative creation and the way that AI is transforming the notions of authorship, intentionality, and creative agency in the context of conceptual practice. The paper is based on the conceptual art theory and co-creativity frameworks of the human-…
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…
Visualizing Stress and Mindfulness: Integrating Intelligent Systems for Experiential Well-Being Practices
Stress and mindfulness Visualized using intelligent systems are an emerging way of performing experiential practices of well-being that use both data gathered analytically and embodied awareness. This paper suggests an implementation of an integrative framework in which artificial intelligence, multimodal sensing, and interactive visualization are used to encode latent psychophysiological indicators of stress and provide an intuitive experiential…
Generative Adversarial Networks for Pattern Reconstruction
Pattern reconstruction of patterns has become one of the most important tasks of computer vision, preservation of digital heritage, automation of textile, and generative design. Their capability to learn the complex data distributions through a training process of the Generative Adversarial Networks (GANs) offers strong infrastructure to learn the reconstruction of the structural, geometric, or textual motifs using incomplete, noisy, or degraded …
Predictive Analytics for Sculpture Exhibition Planning
The research paper discusses the use of predictive analytics in the planning of sculpture exhibitions to enhance the curatorial decision-making process using predictive decision-making based on the data. The study incorporates the elements of data science, computational aesthetics, theory of art object/virtual display curator, forming a building of modular prediction and using regression, classification, clustering, ensemble learning, and time-se…
Integrating Artificial Intelligence Tools to Enhance Creative Expression in Contemporary Visual Arts
The use of the Artificial Intelligence (AI) in the field of contemporary visual art has had an impact of monumental proportions regarding the way in which the artistic production is conducted, enabling artists to experiment with the ways of expression, communication as well as even innovation. In this paper, the author speaks about the possible uses of AI-based technology to develop the creativity of the human mind and reinvent the artistic proce…
No prominent works on this page.
Integrating Artificial Intelligence Tools to Enhance Creative Expression in Contemporary Visual Arts
The use of the Artificial Intelligence (AI) in the field of contemporary visual art has had an impact of monumental proportions regarding the way in which the artistic production is conducted, enabling artists to experiment with the ways of expression, communication as well as even innovation. In this paper, the author speaks about the possible uses of AI-based technology to develop the creativity of the human mind and reinvent the artistic proce…
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…
Visualizing Stress and Mindfulness: Integrating Intelligent Systems for Experiential Well-Being Practices
Stress and mindfulness Visualized using intelligent systems are an emerging way of performing experiential practices of well-being that use both data gathered analytically and embodied awareness. This paper suggests an implementation of an integrative framework in which artificial intelligence, multimodal sensing, and interactive visualization are used to encode latent psychophysiological indicators of stress and provide an intuitive experiential…
Generative Adversarial Networks for Pattern Reconstruction
Pattern reconstruction of patterns has become one of the most important tasks of computer vision, preservation of digital heritage, automation of textile, and generative design. Their capability to learn the complex data distributions through a training process of the Generative Adversarial Networks (GANs) offers strong infrastructure to learn the reconstruction of the structural, geometric, or textual motifs using incomplete, noisy, or degraded …
Predictive Analytics for Sculpture Exhibition Planning
The research paper discusses the use of predictive analytics in the planning of sculpture exhibitions to enhance the curatorial decision-making process using predictive decision-making based on the data. The study incorporates the elements of data science, computational aesthetics, theory of art object/virtual display curator, forming a building of modular prediction and using regression, classification, clustering, ensemble learning, and time-se…
Yoga Philosophy and Aesthetic Experience in Indian Performing Arts
Indian performing arts have been influenced over a long time by yoga philosophy, which highlights harmony of body, mind and consciousness. The study examines how yogic practices are correlated with aesthetic experience in the traditional Indian performance traditions. The paper discusses the role of the principles based on the philosophy of classical yoga in artistic discipline, expressive eloquence, and interaction with the audience. Analysis of…
Designing Emotion-Sensitive Interactive Art Using Biometric Sensors and Adaptive Computing Models
The dynamic terminal to technology and human perception, creativity and human expression, an emotion-sensitive interactive art is where creative art is capable of responding to the emotional state of the involved participants. The paper will give an elaborate layout of the evolution of adaptive art systems through the multimodal biometric sensor and intelligent computing model. Physiological stimuli to acquire real-time emotional stimuli are elec…
Evaluating the Creative Potential of Stable Diffusion Models in Concept Art Pipelines
Stable Diffusion models have become a groundbreaking technology in the field of generative artificial intelligence that has impacted concept art pipelines in the world of creative industries. This paper will assess the artistic capabilities of Stable Diffusion through the lens of its capability to produce high-quality, heterogeneous, and contextual visual images based on textual prompting. This study examines the main aspects such as dataset sele…
Human–ai Co-Creation Models in Conceptual Art
Human-ai co-creation is an important paradigm in the modern conceptual art, whereby ideas, processes and systems are prioritized over material form. This paper explores formal frameworks of human-AI collaborative creation and the way that AI is transforming the notions of authorship, intentionality, and creative agency in the context of conceptual practice. The paper is based on the conceptual art theory and co-creativity frameworks of the human-…
Aesthetic Perception and Analysis (7 works) · Generative grammar (5 works) · Creativity (3 works) · Affective Computing (2 works) · Art, Technology, and Culture (2 works) · Deep learning (2 works) · Emotion and Mood Recognition (2 works) · Generative Adversarial Networks and Image Synthesis (2 works) · Innovative Human-Technology Interaction (2 works) · Mindfulness and Compassion Interventions (2 works)