Manisha Jadhav
Datos Biográficos
| ID | 10254152 |
|---|---|
| NOMBRE | Manisha Jadhav |
| NOMBRES | Manisha |
| APELLIDO | Jadhav |
| FIRMA | JADHAV M |
| AFILIACIONES | International Institute of Information Technology |
| VERIFICADO | No |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2025 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Ai-Driven Decision Support for Art Collectors
Global art market is typified by substantial monetary investment, lack of information, and a certain degree of subjectivity, which makes it difficult to make informed choices in the face of collectors. This project aims to introduce an AI-based decision support system that could help the art collector in valuation and authenticity evaluation, as well as in the market risk analysis on the basis of an integrated, data-driven system structure. The s…
Motion Capture and Ai in Dance Performance Analysis
It is worth mentioning that the artificial intelligence (AI) combined with the application of motion capture technology has transformed the analysis of dance performances as it is studied and practiced. Motion capture technologies - both optical technologies with markers and optical technologies with inertial and visual technologies allow to measure human movement quantitatively and with high quality on a large scale, which is much more accurate …
Cross-Disciplinary Art Through Ai-Generated Music and Visuals
Multimodal generative systems change the current creative practices which is the focus of this study, looking at how the field of cross-disciplinary art has grown rapidly due to AI-generated music and visual synthesis. The study combines the concept of deep learning including GANs, VAEs, and transformer-based networks to learn the interaction between sonic and visual representations that can produce coherent works of art that combine sound, visua…
Style Transfer in Printing and Photography Education
Style transfer has become a strong cross-section of artificial intelligence and visual creativity, allowing to separate and alternative content and artistic style in digital imagery. This aspect is useful in teaching printing and photography in providing pedagogical opportunities in the combination of computational thinking with aesthetic discovery. In this paper, the researcher will explore the application of neural style transfer as a method of…
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Motion Capture and Ai in Dance Performance Analysis
It is worth mentioning that the artificial intelligence (AI) combined with the application of motion capture technology has transformed the analysis of dance performances as it is studied and practiced. Motion capture technologies - both optical technologies with markers and optical technologies with inertial and visual technologies allow to measure human movement quantitatively and with high quality on a large scale, which is much more accurate …
Cross-Disciplinary Art Through Ai-Generated Music and Visuals
Multimodal generative systems change the current creative practices which is the focus of this study, looking at how the field of cross-disciplinary art has grown rapidly due to AI-generated music and visual synthesis. The study combines the concept of deep learning including GANs, VAEs, and transformer-based networks to learn the interaction between sonic and visual representations that can produce coherent works of art that combine sound, visua…
Style Transfer in Printing and Photography Education
Style transfer has become a strong cross-section of artificial intelligence and visual creativity, allowing to separate and alternative content and artistic style in digital imagery. This aspect is useful in teaching printing and photography in providing pedagogical opportunities in the combination of computational thinking with aesthetic discovery. In this paper, the researcher will explore the application of neural style transfer as a method of…
Ai-Driven Decision Support for Art Collectors
Global art market is typified by substantial monetary investment, lack of information, and a certain degree of subjectivity, which makes it difficult to make informed choices in the face of collectors. This project aims to introduce an AI-based decision support system that could help the art collector in valuation and authenticity evaluation, as well as in the market risk analysis on the basis of an integrated, data-driven system structure. The s…
Aesthetic Perception and Analysis (2 obras) · Generative Adversarial Networks and Image Synthesis (2 obras) · Art History and Market Analysis (1 obras) · Automatic identification and data capture (1 obras) · Convolutional neural network (1 obras) · Cultural Industries and Urban Development (1 obras) · Curriculum (1 obras) · Dance (1 obras) · Decision support system (1 obras) · Digital Media and Visual Art (1 obras)