Subhash Kumar Verma
Biographic Data
| ID | 8968620 |
|---|---|
| NAME | Subhash Kumar Verma |
| GIVEN NAMES | Subhash Kumar |
| FAMILY NAME | Verma |
| SIGNATURE | VERMA S K |
| AFFILIATIONS | Noida International University |
| VERIFIED | No |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predictive Models for Dance Competition Judging
Judging dance competitions is dependent on the subjective judgment of highly multimodal dances, which is very likely to be subjective and unequal. The paper will present a predictive modeling architecture of dance competition judging based on the multimodal performance analytics and decision support algorithms built on machine learning. The representation of dance performances with synchronized visual movement, audio rhythm, and spatial trajector…
Evaluating Artistic Merit of Ai-Generated Photographs
The paper will address the artistic quality of AI-generated photographs and combine the aesthetic theory, computational imaging, and empirical analysis. With the growing ability of generative models to generate images of visual appeal, issues of creativity, originality, authorship, and cultural worth emerge. The research places AI photography in the frame of classical and contemporary aesthetics, the intentionality of humans and the algorithmic p…
Adaptive Learning Systems for Multimedia Design Education
Multimedia design education is currently changing at a fast pace due to the rapid development of digital technologies, which require a more personalized and flexible learning environment. The old model of teaching does not usually recognize any differences in learning between individuals in terms of speed, manner and understanding. The promising alternative offered by adaptive learning systems (ALS) is the idea that the instructional material wil…
Performance Data Analytics for Music Institutions
Potential to transform the music education system the use of data analytics in music education has the potential to radically transform the performance, pedagogy, and institutional effectiveness assessment system. The given paper will provide a detailed Performance Data Analytics framework, which will be used in the environment of the music institutions, considering both academic and artistic sides of the performance. It also discusses the way di…
Smart Content Moderation in Digital Media Classrooms
The high growth of digital media classrooms has turned the learning classes into the multimodal and much interacting environments where students are exposed to text, images, audio and video materials. On the one hand, this change increases the level of creativity and cooperation, on the other hand, it creates serious issues with balancing unsuitable, damaging, or biased content in the real-time. The traditional rule based systems tend to miss the…
Managing Sculpture Workshops Through Digital Twins
The use of Digital Twin (DT) technology in art and craft has the potential to entirely transform the way that often complicated creative processes are managed, as in modelling classes. DTs can facilitate the constant exchange of data between the real and digital worlds by digitally replicating the real-time conditions of workshops using sensors and 3D modeling software incorporated into an IoT-based platform. This mixed-methods study includes int…
Ai-Assisted Sculpture Design
AI-assisted sculpture design is a radical melding of the conventional art craftsmanship and the innovative computational intelligence. The proposed study examines a hybrid form of creative ecosystem where sculptors work together with generative models, including GANs, diffusion systems, and mesh-generating neural networks to create sculptural, conceptually rich, structurally optimized, and culturally-infused sculptural entities. The suggested mod…
Enhancing Aesthetic Appeal of Prints Using Neural Networks
The appearance of printed pictures is extremely crucial to visual communication, product display, and art. Conventional methods of enhancing prints, such as colour repair, contrast control, and texturing refinements, tend to require that the end user manually adjusts the filter or relies on predefined filters, so they cannot be as adaptable to other types of pictures and printed media. With the emergence of deep learning and, in particular, neura…
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…
Influencing the Purchase Path
The rise of social media influencers (SMIs) has significantly transformed e-commerce marketing, particularly between 2019 and 2024. As digital platforms became central to consumer behavior, SMIs emerged as crucial players in shaping purchasing decisions through personalized and authentic engagement. This study explores the role of SMIs in influencing the e-commerce consumer decision- making process, focusing on brand awareness, product considerat…
Demystifying the Effect of Social Enjoyment in Shopping Behavior for Electronic Products
The paper focuses on the significance of influencers and how they promote their videos. Social enjoyment is studied in the study which is derived after watching the videos of the influencers on social media platforms. The videos on electronic products create a positive attitude towards the product and consumers think of buying it. Design/ Research Methodology/ Approach: Purpose sampling is used to carry out research, and the study is carried out …
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Influencing the Purchase Path
The rise of social media influencers (SMIs) has significantly transformed e-commerce marketing, particularly between 2019 and 2024. As digital platforms became central to consumer behavior, SMIs emerged as crucial players in shaping purchasing decisions through personalized and authentic engagement. This study explores the role of SMIs in influencing the e-commerce consumer decision- making process, focusing on brand awareness, product considerat…
Demystifying the Effect of Social Enjoyment in Shopping Behavior for Electronic Products
The paper focuses on the significance of influencers and how they promote their videos. Social enjoyment is studied in the study which is derived after watching the videos of the influencers on social media platforms. The videos on electronic products create a positive attitude towards the product and consumers think of buying it. Design/ Research Methodology/ Approach: Purpose sampling is used to carry out research, and the study is carried out …
Adaptive Learning Systems for Multimedia Design Education
Multimedia design education is currently changing at a fast pace due to the rapid development of digital technologies, which require a more personalized and flexible learning environment. The old model of teaching does not usually recognize any differences in learning between individuals in terms of speed, manner and understanding. The promising alternative offered by adaptive learning systems (ALS) is the idea that the instructional material wil…
Performance Data Analytics for Music Institutions
Potential to transform the music education system the use of data analytics in music education has the potential to radically transform the performance, pedagogy, and institutional effectiveness assessment system. The given paper will provide a detailed Performance Data Analytics framework, which will be used in the environment of the music institutions, considering both academic and artistic sides of the performance. It also discusses the way di…
Smart Content Moderation in Digital Media Classrooms
The high growth of digital media classrooms has turned the learning classes into the multimodal and much interacting environments where students are exposed to text, images, audio and video materials. On the one hand, this change increases the level of creativity and cooperation, on the other hand, it creates serious issues with balancing unsuitable, damaging, or biased content in the real-time. The traditional rule based systems tend to miss the…
Managing Sculpture Workshops Through Digital Twins
The use of Digital Twin (DT) technology in art and craft has the potential to entirely transform the way that often complicated creative processes are managed, as in modelling classes. DTs can facilitate the constant exchange of data between the real and digital worlds by digitally replicating the real-time conditions of workshops using sensors and 3D modeling software incorporated into an IoT-based platform. This mixed-methods study includes int…
Ai-Assisted Sculpture Design
AI-assisted sculpture design is a radical melding of the conventional art craftsmanship and the innovative computational intelligence. The proposed study examines a hybrid form of creative ecosystem where sculptors work together with generative models, including GANs, diffusion systems, and mesh-generating neural networks to create sculptural, conceptually rich, structurally optimized, and culturally-infused sculptural entities. The suggested mod…
Enhancing Aesthetic Appeal of Prints Using Neural Networks
The appearance of printed pictures is extremely crucial to visual communication, product display, and art. Conventional methods of enhancing prints, such as colour repair, contrast control, and texturing refinements, tend to require that the end user manually adjusts the filter or relies on predefined filters, so they cannot be as adaptable to other types of pictures and printed media. With the emergence of deep learning and, in particular, neura…
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…
Predictive Models for Dance Competition Judging
Judging dance competitions is dependent on the subjective judgment of highly multimodal dances, which is very likely to be subjective and unequal. The paper will present a predictive modeling architecture of dance competition judging based on the multimodal performance analytics and decision support algorithms built on machine learning. The representation of dance performances with synchronized visual movement, audio rhythm, and spatial trajector…
Evaluating Artistic Merit of Ai-Generated Photographs
The paper will address the artistic quality of AI-generated photographs and combine the aesthetic theory, computational imaging, and empirical analysis. With the growing ability of generative models to generate images of visual appeal, issues of creativity, originality, authorship, and cultural worth emerge. The research places AI photography in the frame of classical and contemporary aesthetics, the intentionality of humans and the algorithmic p…
Aesthetic Perception and Analysis (4 works) · Advertising (2 works) · Art, Technology, and Culture (2 works) · Business (2 works) · Consumer Behavior in Brand Consumption and Identification (2 works) · Convolutional neural network (2 works) · Curriculum (2 works) · Digital Marketing and Social Media (2 works) · Generative Adversarial Networks and Image Synthesis (2 works) · Generative grammar (2 works)