Dipali Kapil Mundada
Biographic Data
| ID | 10128404 |
|---|---|
| NAME | Dipali Kapil Mundada |
| GIVEN NAMES | Dipali Kapil |
| FAMILY NAME | Mundada |
| SIGNATURE | MUNDADA D K |
| AFFILIATIONS | International Institute of Information Technology |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Predictive Market Trends in Printing and Photography
The printing and photography sectors are changing very fast due to digitalization, automation and using data to make decisions. The analysis of market trends which can be predicted as a key to the analysis of the demand fluctuations, the technological use, and the changing preferences of consumers in such visual-oriented sectors. This paper will examine the predictive market trends in printing and photography by using a combination of economic in…
Object Detection in Photography Using Deep Learning
Object detection in photography has developed fast due to deep learning and has changed the manner in which visual content is photographed, arranged, and understood. This paper is a detailed examination of the current detection systems and how they can apply to the photographic process. Starting with the description of classical approaches like HOG, Haar cascades, and SVM-based networks, the paper compares the drawbacks of the mentioned methods w…
Real-Time Ai Feedback for Dance Students
n this study, the authors provide an investigation of how an AI based real-time feedback system can assist dance students to improve the effectiveness of training, precision and student learning outcomes. The system combines computer vision, pose estimation and machine learning algorithms to process motion data obtained by a video or a motion sensor. The AI, by comparing the actions of a dancer with the set reference models, can give immediate co…
No prominent works on this page.
Predictive Market Trends in Printing and Photography
The printing and photography sectors are changing very fast due to digitalization, automation and using data to make decisions. The analysis of market trends which can be predicted as a key to the analysis of the demand fluctuations, the technological use, and the changing preferences of consumers in such visual-oriented sectors. This paper will examine the predictive market trends in printing and photography by using a combination of economic in…
Object Detection in Photography Using Deep Learning
Object detection in photography has developed fast due to deep learning and has changed the manner in which visual content is photographed, arranged, and understood. This paper is a detailed examination of the current detection systems and how they can apply to the photographic process. Starting with the description of classical approaches like HOG, Haar cascades, and SVM-based networks, the paper compares the drawbacks of the mentioned methods w…
Real-Time Ai Feedback for Dance Students
n this study, the authors provide an investigation of how an AI based real-time feedback system can assist dance students to improve the effectiveness of training, precision and student learning outcomes. The system combines computer vision, pose estimation and machine learning algorithms to process motion data obtained by a video or a motion sensor. The AI, by comparing the actions of a dancer with the set reference models, can give immediate co…
Deep learning (2 works) · Photography (2 works) · Advanced Image and Video Retrieval Techniques (1 works) · Aesthetic Perception and Analysis (1 works) · Amateur (1 works) · Architecture (1 works) · Art History and Market Analysis (1 works) · Automation (1 works) · Big data (1 works) · Cinema and Media Studies (1 works)