Pooja Yadav
Biographic Data
| ID | 7656155 |
|---|---|
| NAME | Pooja Yadav |
| GIVEN NAMES | Pooja |
| FAMILY NAME | Yadav |
| SIGNATURE | YADAV P |
| AFFILIATIONS | Noida International University |
| ORCID | 0000-0002-6185-374X |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Enhancing computational thinking through a computational algorithm program (CAP) in elementary science education
Purpose This study aims to examine the effectiveness of an unplugged computational algorithm program (CAP) in enhancing computational thinking (CT) skills and academic achievement in Grade 7 science education. The study responds to growing calls for integrating CT into STEM learning in ways that are feasible for resource-constrained and rural school contexts, with particular relevance to sustainable development goal 4 (SDG 4) (quality education).…
Global Resonances
The modern Indian classical and folk fusion music has become an important musical trend shaped by the increased globalization, the digital spreading, and the transnational artistic interaction. Although these fusion practices are commonly loosely grouped into the term of a world music, the available literature rarely constructs systemic frameworks to examine the manner in which particular global musical influences interact with the Indian musical…
Digital Twins in Sculpture Studios
The expanding penetration of computational technologies into the studio-based education has provided new possibilities to improve learning in long-standing traditionally material-centered fields like sculpture. The current paper examines the application of digital twin technology as a facilitating model of hybrid physical-digital sculptural pedagogy. The concept of a digital twin-powered sculpture studio is envisioned as a closed-loop system conn…
Machine Learning for Art Critique Generation
The development of artificial intelligence has led to new opportunities to create art critique that is coherent and reacting to context to produce the mimic depth of analysis of humans. The current paper is an in-depth machine learning system that can generate structured, interpretive, and stylistically rich art reviews through the application of state-of-the-art visual comprehension and natural language generation. The suggested system is a comb…
Data-Driven Promotion Strategies for Folk Artists
The folk artists are very important in the process of conserving the intangible cultural heritage, however, their presence and access to the market are restricted by the disjointed promotional channels, informal marketing and lack of data-driven decisions. As the digital platforms and social media, as well as online marketplaces, continue to grow, there is an expanding possibility to use data analytics to advance reach, sustainability, and econom…
Predicting Visual Appeal in Advertising Photography
Digital advertising has grown at a very high rate, supporting the necessity of images that are visually appealing and able to attract the consumer on the perception of the image and motivation to purchase a product. The study is a predictive model of visual appeal in advertising photography based on the methods of computational aesthetics, machine learning, and deep learning. The study conceptualizes, in the first instance, visual appeal as a con…
Intelligent Compression Techniques in Art Photography
In art photography, visual fidelity is an exceptionally high level of performance, in which artistic intent can easily be changed by minute distortions. Nonetheless, high-resolution art images are difficult to store and transmit, because they are large files, and have complicated visual representations. Conventional compression algorithms (e.g. JPEG, PNG, TIFF, etc.) tend to reduce small details, shading and texture that is critical to maintain t…
Generative Adversarial Networks for Pattern Reconstruction
Pattern reconstruction of patterns has become one of the most important tasks of computer vision, preservation of digital heritage, automation of textile, and generative design. Their capability to learn the complex data distributions through a training process of the Generative Adversarial Networks (GANs) offers strong infrastructure to learn the reconstruction of the structural, geometric, or textual motifs using incomplete, noisy, or degraded …
Ai-Driven Assessment in Visual Communication Classes
The Artificial Intelligence (AI) of learning has transformed the classroom, particularly in the field of visual communication, which is the creative one. However, the objective assessment of the abilities of students in the sphere of design remains one of the serious concerns due to subjectivity of working in creative sphere and the element of beauty. The problem addressed in this paper is that there is no consistency in evaluation criteria and m…
Generative Design for Conceptual Installations
Generative design is a huge shift in the manner of thinking out conceptual works by integrating the computer processes with the artistic instincts. The essay examines the role of computer systems in assisting artists in producing shifting, flexible, and information-driven physical experiences that exceed the common boundaries of art. Generative design involves the use of factors, chance, and rule-based reasoning, to generate forms that look like …
Currency Fluctuations and Commodity Prices
Background:This study explored the relationship between currency fluctuations, particularly those of the US dollar, and commodity prices, focusing on crude oil, gold, wheat, and soybeans. The inverse correlation between the US dollar and commodity prices is widely accepted, but this study aimed to provide primary data analysis to quantify this relationship and assess the sensitivity of different commodities to currency movements.Methods:A prospec…
No prominent works on this page.
Currency Fluctuations and Commodity Prices
Background:This study explored the relationship between currency fluctuations, particularly those of the US dollar, and commodity prices, focusing on crude oil, gold, wheat, and soybeans. The inverse correlation between the US dollar and commodity prices is widely accepted, but this study aimed to provide primary data analysis to quantify this relationship and assess the sensitivity of different commodities to currency movements.Methods:A prospec…
Machine Learning for Art Critique Generation
The development of artificial intelligence has led to new opportunities to create art critique that is coherent and reacting to context to produce the mimic depth of analysis of humans. The current paper is an in-depth machine learning system that can generate structured, interpretive, and stylistically rich art reviews through the application of state-of-the-art visual comprehension and natural language generation. The suggested system is a comb…
Data-Driven Promotion Strategies for Folk Artists
The folk artists are very important in the process of conserving the intangible cultural heritage, however, their presence and access to the market are restricted by the disjointed promotional channels, informal marketing and lack of data-driven decisions. As the digital platforms and social media, as well as online marketplaces, continue to grow, there is an expanding possibility to use data analytics to advance reach, sustainability, and econom…
Predicting Visual Appeal in Advertising Photography
Digital advertising has grown at a very high rate, supporting the necessity of images that are visually appealing and able to attract the consumer on the perception of the image and motivation to purchase a product. The study is a predictive model of visual appeal in advertising photography based on the methods of computational aesthetics, machine learning, and deep learning. The study conceptualizes, in the first instance, visual appeal as a con…
Intelligent Compression Techniques in Art Photography
In art photography, visual fidelity is an exceptionally high level of performance, in which artistic intent can easily be changed by minute distortions. Nonetheless, high-resolution art images are difficult to store and transmit, because they are large files, and have complicated visual representations. Conventional compression algorithms (e.g. JPEG, PNG, TIFF, etc.) tend to reduce small details, shading and texture that is critical to maintain t…
Generative Adversarial Networks for Pattern Reconstruction
Pattern reconstruction of patterns has become one of the most important tasks of computer vision, preservation of digital heritage, automation of textile, and generative design. Their capability to learn the complex data distributions through a training process of the Generative Adversarial Networks (GANs) offers strong infrastructure to learn the reconstruction of the structural, geometric, or textual motifs using incomplete, noisy, or degraded …
Ai-Driven Assessment in Visual Communication Classes
The Artificial Intelligence (AI) of learning has transformed the classroom, particularly in the field of visual communication, which is the creative one. However, the objective assessment of the abilities of students in the sphere of design remains one of the serious concerns due to subjectivity of working in creative sphere and the element of beauty. The problem addressed in this paper is that there is no consistency in evaluation criteria and m…
Generative Design for Conceptual Installations
Generative design is a huge shift in the manner of thinking out conceptual works by integrating the computer processes with the artistic instincts. The essay examines the role of computer systems in assisting artists in producing shifting, flexible, and information-driven physical experiences that exceed the common boundaries of art. Generative design involves the use of factors, chance, and rule-based reasoning, to generate forms that look like …
Enhancing computational thinking through a computational algorithm program (CAP) in elementary science education
Purpose This study aims to examine the effectiveness of an unplugged computational algorithm program (CAP) in enhancing computational thinking (CT) skills and academic achievement in Grade 7 science education. The study responds to growing calls for integrating CT into STEM learning in ways that are feasible for resource-constrained and rural school contexts, with particular relevance to sustainable development goal 4 (SDG 4) (quality education).…
Global Resonances
The modern Indian classical and folk fusion music has become an important musical trend shaped by the increased globalization, the digital spreading, and the transnational artistic interaction. Although these fusion practices are commonly loosely grouped into the term of a world music, the available literature rarely constructs systemic frameworks to examine the manner in which particular global musical influences interact with the Indian musical…
Digital Twins in Sculpture Studios
The expanding penetration of computational technologies into the studio-based education has provided new possibilities to improve learning in long-standing traditionally material-centered fields like sculpture. The current paper examines the application of digital twin technology as a facilitating model of hybrid physical-digital sculptural pedagogy. The concept of a digital twin-powered sculpture studio is envisioned as a closed-loop system conn…
Aesthetic Perception and Analysis (5 works) · Convolutional neural network (3 works) · Generative Adversarial Networks and Image Synthesis (3 works) · Architecture and Computational Design (2 works) · Art, Technology, and Culture (2 works) · Creativity (2 works) · Deep learning (2 works) · Digital Media and Visual Art (2 works) · Generative grammar (2 works) · Perception (2 works)