Harsimrat Kandhari
Biographic Data
| ID | 10127237 |
|---|---|
| NAME | Harsimrat Kandhari |
| GIVEN NAMES | Harsimrat |
| FAMILY NAME | Kandhari |
| SIGNATURE | KANDHARI H |
| AFFILIATIONS | Chitkara University |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Virtual Art Spaces and Machine Learning Curation
With the development of machine learning (ML), the concept of virtual space in art is becoming a reality, and it is changing the established curatorial procedures and altering the ways in which audiences experience art. This paper explores the dynamic overlap between ML-driven systems and immersive digital spaces to know how curatorial decision-making, experience of audiences, and interpretation of art is being redefined. The study presents findi…
Using Ai to Trace Regional Art Lineages
The utilization of artificial intelligence (AI) in art-historical studies has revolutionary potential of understanding the way of how regional art traditions evolve and interrelate. In this paper, the advantages of applying computational approaches to tracing artistic traditions across time and culture are examined, especially through image recognition, neural networks and information-guided ontologies. The combination of art-historical concepts …
Intelligent Assessment Systems in Digital Art Education
During educational assessment, the Artificial Intelligence (AI) has become the new way of assessing creativity and skill, specifically in the teaching of digital art. This article discusses the development and application of Intelligent Assessment Systems (IAS) that have the capability of assessing artistic outputs objectively and holistically. Conventional approaches to art assessment are more subjective and thus hard to scale and be consistent.…
Sound Emotion Mapping Using Deep Learning
Emotion recognition from sound is an important area of affective computing where machines can use vocal cues as an indication of human emotions for empathic and adaptive interactions. Traditional methods based on handcrafted acoustic features like MFCCs and LPC are restricted in terms of nonlinear and context-dependent emotional dynamics and mostly suffer from speaker and recording condition variations. To solve these issues, in this study the de…
Evaluation of Entrepreneurial Perspectives and their Influence on Organizational Culture
Entrepreneurial perspectives are distinct approaches individuals use to identify opportunities and navigate challenges in the business world, shaping their risk evaluation, innovation, and strategic decision-making for growth and success. This study aims to evaluate how entrepreneurial perspectives shape and influence organizational culture. By examining the interplay between entrepreneurial attitudes and organizational standards, it seeks to und…
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Evaluation of Entrepreneurial Perspectives and their Influence on Organizational Culture
Entrepreneurial perspectives are distinct approaches individuals use to identify opportunities and navigate challenges in the business world, shaping their risk evaluation, innovation, and strategic decision-making for growth and success. This study aims to evaluate how entrepreneurial perspectives shape and influence organizational culture. By examining the interplay between entrepreneurial attitudes and organizational standards, it seeks to und…
Virtual Art Spaces and Machine Learning Curation
With the development of machine learning (ML), the concept of virtual space in art is becoming a reality, and it is changing the established curatorial procedures and altering the ways in which audiences experience art. This paper explores the dynamic overlap between ML-driven systems and immersive digital spaces to know how curatorial decision-making, experience of audiences, and interpretation of art is being redefined. The study presents findi…
Using Ai to Trace Regional Art Lineages
The utilization of artificial intelligence (AI) in art-historical studies has revolutionary potential of understanding the way of how regional art traditions evolve and interrelate. In this paper, the advantages of applying computational approaches to tracing artistic traditions across time and culture are examined, especially through image recognition, neural networks and information-guided ontologies. The combination of art-historical concepts …
Intelligent Assessment Systems in Digital Art Education
During educational assessment, the Artificial Intelligence (AI) has become the new way of assessing creativity and skill, specifically in the teaching of digital art. This article discusses the development and application of Intelligent Assessment Systems (IAS) that have the capability of assessing artistic outputs objectively and holistically. Conventional approaches to art assessment are more subjective and thus hard to scale and be consistent.…
Sound Emotion Mapping Using Deep Learning
Emotion recognition from sound is an important area of affective computing where machines can use vocal cues as an indication of human emotions for empathic and adaptive interactions. Traditional methods based on handcrafted acoustic features like MFCCs and LPC are restricted in terms of nonlinear and context-dependent emotional dynamics and mostly suffer from speaker and recording condition variations. To solve these issues, in this study the de…
Aesthetic Perception and Analysis (3 works) · Art History and Market Analysis (2 works) · Art, Technology, and Culture (2 works) · Convolutional neural network (2 works) · Applications of artificial intelligence (1 work) · Artificial neural network (1 work) · Artistic and Creative Research (1 work) · Business (1 work) · Business and Economic Development (1 work) · Computer Science (1 work)