Nidhi Dua
Biographic Data
| ID | 10128666 |
|---|---|
| NAME | Nidhi Dua |
| GIVEN NAMES | Nidhi |
| FAMILY NAME | Dua |
| SIGNATURE | DUA N |
| AFFILIATIONS | National Institute of Technology Jamshedpur |
| ORCID | 0000-0001-9812-9141 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Machine Learning for Color Optimization in Printing
The optimization of colors in printing has been a subject that is more than ever becoming a critical topic because industries are increasingly demanding greater precision, consistency and efficiency in printing on various substrates and equipment. Conventional color management methods are dependent on manual calibration, ICC profiling and deterministic models which sometimes do not cope with nonlinear device operation, ink substrate interactions …
Predictive Ai for Rhythm Synchronization in Training
Rhythm synchronization is a predictive type of AI that builds upon temporal modeling and cognitive neuroscience so as to augment the synchronization of auditory and motor responses in the dynamic training environment. This study examines the possibilities of intelligent systems in predicting patterns of rhythm and dynamically supporting the user to have a temporal alignment using multimodal feedback. The framework combines data of music beats, mo…
No prominent works on this page.
Machine Learning for Color Optimization in Printing
The optimization of colors in printing has been a subject that is more than ever becoming a critical topic because industries are increasingly demanding greater precision, consistency and efficiency in printing on various substrates and equipment. Conventional color management methods are dependent on manual calibration, ICC profiling and deterministic models which sometimes do not cope with nonlinear device operation, ink substrate interactions …
Predictive Ai for Rhythm Synchronization in Training
Rhythm synchronization is a predictive type of AI that builds upon temporal modeling and cognitive neuroscience so as to augment the synchronization of auditory and motor responses in the dynamic training environment. This study examines the possibilities of intelligent systems in predicting patterns of rhythm and dynamically supporting the user to have a temporal alignment using multimodal feedback. The framework combines data of music beats, mo…
Preprocessor (2 works) · Artificial neural network (1 works) · Color management (1 works) · Color perception and design (1 works) · Color Science and Applications (1 works) · Convolutional neural network (1 works) · Deep learning (1 works) · Digital printing (1 works) · EEG and Brain-Computer Interfaces (1 works) · Hidden Markov model (1 works)