Nitish Vashisht
Biographic Data
| ID | 10128327 |
|---|---|
| NAME | Nitish Vashisht |
| GIVEN NAMES | Nitish |
| FAMILY NAME | Vashisht |
| SIGNATURE | VASHISHT N |
| AFFILIATIONS | Chitkara University |
| ORCID | 0009-0008-3868-4125 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Cloud-Based Management of Art Institutions Using Ai
In the digital era, the cultural and creative industries have seen the emergence of new opportunities that have opened the door to improving the efficiency and sustainability of the art institutions. The paper considers the creation and implementation of cloud-based management systems in conjunction with artificial intelligence (AI) for the purposes of enhancing operational, curatorial, and administrative performance in the art institutions, incl…
Managing Digital Media Production Through Intelligent Automation
The digital media sphere of production has blistered, which has led to the increase of the complexity of workflow, the presence of lower response time and the quality of the obtained output. The latest addition of intelligent automation in terms of artificial intelligence (AI) and machine learning (ML) has become the new game changer that can change the traditional production pipelines. The paper will also consider the application of smart automa…
Predicting Arpredicting Art Sales Trends Using Ai Modelst Sales Trends Using Ai Models
Artificial intelligence combined with cultural economics has provided new possibilities to predict the behavior of the market in the realm of the global art economy. The trend in art sales demands the combination of various modalities economic signals, aesthetic parameters, and social mood that can shape the sense of value. This paper presents a predictive model built using AI and based on structured data, the use of critic narratives, and images…
Folk Art Recognition Using Deep Learning Algorithms
The given work offers a deep learning-driven architecture of identifying Indian folk art traditions with the help of a hybrid framework that integrates convolutional networks and Vision Transformers and CLIP-driven semantic alignment. A curated and annotated multi-source dataset was prepared based on a culturally informed tradition, region and sub style taxonomy. The issues of visual diversity and imbalance of the classes were resolved with rigor…
Comprehensive Evaluation of Imagination's Impact on Psychological Strength in Sports Education
In sports education, psychological strength is considered as an integral component in the performance of any athlete. One of the effective ways to improve many psychological attributes involves training. The sample consisted of 450 athletes divided into an experimental group (EG) (n = 225) that received eight-week imagination training and a control group (CG) (n = 225) that continued with conventional training. Data was examined using the latest …
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Comprehensive Evaluation of Imagination's Impact on Psychological Strength in Sports Education
In sports education, psychological strength is considered as an integral component in the performance of any athlete. One of the effective ways to improve many psychological attributes involves training. The sample consisted of 450 athletes divided into an experimental group (EG) (n = 225) that received eight-week imagination training and a control group (CG) (n = 225) that continued with conventional training. Data was examined using the latest …
Cloud-Based Management of Art Institutions Using Ai
In the digital era, the cultural and creative industries have seen the emergence of new opportunities that have opened the door to improving the efficiency and sustainability of the art institutions. The paper considers the creation and implementation of cloud-based management systems in conjunction with artificial intelligence (AI) for the purposes of enhancing operational, curatorial, and administrative performance in the art institutions, incl…
Managing Digital Media Production Through Intelligent Automation
The digital media sphere of production has blistered, which has led to the increase of the complexity of workflow, the presence of lower response time and the quality of the obtained output. The latest addition of intelligent automation in terms of artificial intelligence (AI) and machine learning (ML) has become the new game changer that can change the traditional production pipelines. The paper will also consider the application of smart automa…
Predicting Arpredicting Art Sales Trends Using Ai Modelst Sales Trends Using Ai Models
Artificial intelligence combined with cultural economics has provided new possibilities to predict the behavior of the market in the realm of the global art economy. The trend in art sales demands the combination of various modalities economic signals, aesthetic parameters, and social mood that can shape the sense of value. This paper presents a predictive model built using AI and based on structured data, the use of critic narratives, and images…
Folk Art Recognition Using Deep Learning Algorithms
The given work offers a deep learning-driven architecture of identifying Indian folk art traditions with the help of a hybrid framework that integrates convolutional networks and Vision Transformers and CLIP-driven semantic alignment. A curated and annotated multi-source dataset was prepared based on a culturally informed tradition, region and sub style taxonomy. The issues of visual diversity and imbalance of the classes were resolved with rigor…
Aesthetic Perception and Analysis (3 works) · Analytics (2 works) · Cultural heritage (2 works) · Aesthetics (1 works) · Applications of artificial intelligence (1 works) · Applied Psychology (1 works) · Architecture (1 works) · Art (1 works) · Art History and Market Analysis (1 works) · Artistic and Creative Research (1 works)