Nidhi Tewatia
Biographic Data
| ID | 8967852 |
|---|---|
| NAME | Nidhi Tewatia |
| GIVEN NAMES | Nidhi |
| FAMILY NAME | Tewatia |
| SIGNATURE | TEWATIA N |
| AFFILIATIONS | Noida International University |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Ai-Based Restoration of Digital Heritage Artworks
Digitization of digital heritage artworks is of high importance to preserve cultural memory and provide access to historically important visual objects in the long run. The digitization of heritage materials is often affected by noise, fading, physical damage and gaps in the materials, all brought about by the physical decay of original materials and shortcomings in digitization processes by heritage institutions. The current paper presents a cul…
Voice Recognition Ai in Music Education Platforms
Voice recognition artificial intelligence (AI) can be described as a radical technology in music education platforms, which allows personalized, data-driven and scalable experiences in vocal training. The conventional method of music pedagogy is based on teacher-directed feedback, which is sometimes time-consuming, subjective, and hard to compare with different groups of learners. Conversely, systems that use voice recognition take advantage of t…
Hybrid Ai-Human Music Composition for Pedagogy
This paper will discuss how the hybrid AI-human music composition setting can have a pedagogical effect on the creative process and musical knowledge of undergraduate learners. They used a mixed-method research study that entailed expert analysis of student composition, system interaction logs, and reflective learner feedback. It was found that students with the hybrid system obtained much better results in the increase of harmonic coherence, mel…
Machine Vision and Its Impact on Art Criticism
Machine vision has become a revolution in the art criticism of the present time whereby computational tools have been presented to extend, challenge, and redefine long-standing conventions of aesthetic criticism or assessment. The fact that artworks are becoming multimodal and digitized and even hybrid in nature has increased what the algorithms can detect, encode style, and analyze the compositional structures, which has widened the scope of int…
Management Frameworks for Ai-Integrated Creative Industries
Implementing Artificial Intelligence (AI) into creative sectors is a radical change of how art, media, and design systems work. This study suggests an overall management system that integrates AI-based innovation with conventional creative processes. The paper starts with an account of the history of management paradigms in the field of creativity, with a particular focus on the digital transformation and computational creativity as the factors t…
Augmented Reality in Photographic Storytelling
AR has transformed the visual and experiential aspect of the photography story telling by uniting the definitions of both in one place, blending the static visuals with the interactive spatial based stories. AR turns the viewer into an active participant instead of the passive one, because of its capacity to extend photography into a multisensory, three-dimensional space, and is creating new avenues of meaning, feeling, and interaction. Embodied …
The Future of Digital Branding Through Generative Media
A major change in digital branding in the future is the accelerated generation of generative media which includes image creation and video making, and audio creation and narrative systems founded on text. As expanding brands operate within algorithmic, hyper-personal and interacting space, generative technologies present unmatched potential in the creation of dynamic, responsive and emotionally charged brand experiences. In this paper, the concep…
Generative Art Photography Using Diffusion Models
This work introduces a hybrid diffusion model with the purpose of improving generative art photography via the combination of latent space denoising, dual guidance and photography-aware conditioning. By using text-based semantic control in conjunction with exposure, depth-of-field and color harmonic cues, the system generates more aesthetically consistent images that are more photographically realistic. Experimental results demonstrate that the p…
Predicting Audience Engagement in Digital Campaigns Using Ai
The accelerated growth of digital media platform has increased competition in regards to attention to the audience and correct forecasting of the level of engagement of the audience becomes an extremely important problem to marketers, cultural organizations, and creative industries. Conventional analytics are based on post-campaign assessment and descriptive metrics, which do not provide much assistance in proactive decision-making in dynamic dig…
No prominent works on this page.
Hybrid Ai-Human Music Composition for Pedagogy
This paper will discuss how the hybrid AI-human music composition setting can have a pedagogical effect on the creative process and musical knowledge of undergraduate learners. They used a mixed-method research study that entailed expert analysis of student composition, system interaction logs, and reflective learner feedback. It was found that students with the hybrid system obtained much better results in the increase of harmonic coherence, mel…
Machine Vision and Its Impact on Art Criticism
Machine vision has become a revolution in the art criticism of the present time whereby computational tools have been presented to extend, challenge, and redefine long-standing conventions of aesthetic criticism or assessment. The fact that artworks are becoming multimodal and digitized and even hybrid in nature has increased what the algorithms can detect, encode style, and analyze the compositional structures, which has widened the scope of int…
Management Frameworks for Ai-Integrated Creative Industries
Implementing Artificial Intelligence (AI) into creative sectors is a radical change of how art, media, and design systems work. This study suggests an overall management system that integrates AI-based innovation with conventional creative processes. The paper starts with an account of the history of management paradigms in the field of creativity, with a particular focus on the digital transformation and computational creativity as the factors t…
Augmented Reality in Photographic Storytelling
AR has transformed the visual and experiential aspect of the photography story telling by uniting the definitions of both in one place, blending the static visuals with the interactive spatial based stories. AR turns the viewer into an active participant instead of the passive one, because of its capacity to extend photography into a multisensory, three-dimensional space, and is creating new avenues of meaning, feeling, and interaction. Embodied …
The Future of Digital Branding Through Generative Media
A major change in digital branding in the future is the accelerated generation of generative media which includes image creation and video making, and audio creation and narrative systems founded on text. As expanding brands operate within algorithmic, hyper-personal and interacting space, generative technologies present unmatched potential in the creation of dynamic, responsive and emotionally charged brand experiences. In this paper, the concep…
Generative Art Photography Using Diffusion Models
This work introduces a hybrid diffusion model with the purpose of improving generative art photography via the combination of latent space denoising, dual guidance and photography-aware conditioning. By using text-based semantic control in conjunction with exposure, depth-of-field and color harmonic cues, the system generates more aesthetically consistent images that are more photographically realistic. Experimental results demonstrate that the p…
Predicting Audience Engagement in Digital Campaigns Using Ai
The accelerated growth of digital media platform has increased competition in regards to attention to the audience and correct forecasting of the level of engagement of the audience becomes an extremely important problem to marketers, cultural organizations, and creative industries. Conventional analytics are based on post-campaign assessment and descriptive metrics, which do not provide much assistance in proactive decision-making in dynamic dig…
Ai-Based Restoration of Digital Heritage Artworks
Digitization of digital heritage artworks is of high importance to preserve cultural memory and provide access to historically important visual objects in the long run. The digitization of heritage materials is often affected by noise, fading, physical damage and gaps in the materials, all brought about by the physical decay of original materials and shortcomings in digitization processes by heritage institutions. The current paper presents a cul…
Voice Recognition Ai in Music Education Platforms
Voice recognition artificial intelligence (AI) can be described as a radical technology in music education platforms, which allows personalized, data-driven and scalable experiences in vocal training. The conventional method of music pedagogy is based on teacher-directed feedback, which is sometimes time-consuming, subjective, and hard to compare with different groups of learners. Conversely, systems that use voice recognition take advantage of t…
Aesthetic Perception and Analysis (3 works) · Generative Adversarial Networks and Image Synthesis (3 works) · Narrative (3 works) · Creativity (2 works) · Diverse Music Education Insights (2 works) · Generative grammar (2 works) · Perception (2 works) · Photography (2 works) · 3D Surveying and Cultural Heritage (1 work) · Adaptability (1 work)