Neha Neha
Biographic Data
| ID | 6566696 |
|---|---|
| NAME | Neha Neha |
| GIVEN NAMES | Neha |
| FAMILY NAME | Neha |
| SIGNATURE | NEHA N |
| AFFILIATIONS | Noida International University |
| ORCID | 0009-0008-0164-236X |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Parametric Modeling and Ai in Modern Sculpture Education
The use of parametric modeling and artificial intelligence (AI) is quickly transforming the current education of sculpture by bringing in computational practices that create expansions of formal inquiry, material cognition, and design practice that reflects. In this paper, the authors explore how parametric modeling and AI-driven approaches can be taken into consideration in the field of contemporary sculpture lessons and to place these technolog…
Visual Storytelling Techniques in Traditional and Contemporary Painting
Painting has also been a core purpose of visual storytelling since it allows one to express cultural materials, beliefs, and human experiences in a visual form. This paper analyses the changes in the methods of visual storytelling in both traditional and contemporary painting along with the development of the way narrative organization, symbolism, material activities and interaction with the viewer has been changing over the recent decades. Tradi…
Virtual Printing Studios for Art Students
Virtual Printing Studios are a disruptive model of teaching printmaking in which digital simulation, artificial intelligence, and immersive technologies are brought into the conventional artistic processes. This paper suggests and tests a detailed Virtual Printing Studio model that is specific to the art students, and allows them to experience learning virtually, not being limited by physical studios, materials, and time. It is based on a digital…
Ai-Enabled Interactive Installations for Modern Museums
The high development of Artificial Intelligence (AI) has altered the visitor interaction paradigm in the contemporary museums. The paper describes the design, implementation, and evaluation of AI-enabled interactive installations that provide more cultural experience by improving the mechanisms of intelligent perception, the personalisation and adaptive interactivity. The suggested system will combine computer vision, natural language processing …
Cross-Disciplinary Art Through Ai-Generated Music and Visuals
Multimodal generative systems change the current creative practices which is the focus of this study, looking at how the field of cross-disciplinary art has grown rapidly due to AI-generated music and visual synthesis. The study combines the concept of deep learning including GANs, VAEs, and transformer-based networks to learn the interaction between sonic and visual representations that can produce coherent works of art that combine sound, visua…
Digital Clay Modeling With Ai-Assisted Feedback
Digital clay modeling has become a paradigm shift in sculptural design in that the users are able to work with digital materials in a way never before possible, with control and fluidity never seen. Many conventional digital sculpture has a workflow, however, that does not provide smart feedback, which facilitates refining, aesthetic refinement, and technical precision. In this paper, a proposal of an AI-based digital clay modeling system will be…
Predictive Algorithms for Structural Integrity in Sculptures
In computational modeling has provided avenues to evaluate and maintain the structural integrity of sculptures, especially those that are exposed to environmental factors or aging materials, or complicated distributions of loads. Finite-element analysis, machine learning, and sensor-based data collection together in predictive algorithms provide a proactive approach of determining the risk of failure before it can be seen to be deteriorating. The…
Ai-Assisted Restoration of Folk Murals
Handmade techniques have been used for a long time in the restoration of folk paintings, which depict cultural stories and popular art. However, these traditional approaches to the restoration of artefacts are not always suitable for the modern demand for conservation. This is especially true in the event of significant damage, lack of records or loss of original colours. The rise of artificial intelligence (AI) has changed the way digital repair…
Designing effective discussion forum in Moocs
Introduction The study focuses on addressing the gap between the perspectives of learners and the designers of Massive Open Online Courses (MOOCs), with a particular emphasis on asynchronous discussion forums within these courses. The primary objective of this study is to bridge the gap in understanding between MOOC designers and learners regarding the organization and usability of discussion forums. Methods It aims to achieve this objective thro…
Acceptability of reclaimed municipal wastewater in cities
Willingness to reuse reclaimed municipal wastewater was ascertained through a questionnaire completed by 424 respondents, opinions of 17 experts, and interviews with 15 farmers. Information was collected to assess their knowledge of water scarcity and to determine the influence of demographics, correlation to perceived risk, willingness, challenges, and barriers related to the acceptance of reclaimed water. Most respondents were receptive to the …
Desalinization effect of simulated cut‐soiler‐based residue filled preferential shallow subsurface drainage
Soil salinity is a major soil degradation problem that limits agricultural production. The cut‐soiler constructed preferential shallow subsurface drainage (PSSD) method is a promising salinity management technology for small‐scale application and adoption in drylands. This study assessed the effectiveness of rice residue‐filled PSSD in managing soil salinity and its effect on the physiology and yield of pearl millet. The cut‐soiler simulated drai…
Analysis of microarray data by genetic algorithm
Microarray gene expression data is used to understand the actions of thousands of genes. Just a few genes out of thousands have a significant impact in any cancer process. Finding these defective genes using experimental data is impractical. To locate the relevant genes, computational techniques are required. A method to identifying cancer candidate genes from microarray data is created. Clustering of similar genes is necessary to find co-express…
No prominent works on this page.
Acceptability of reclaimed municipal wastewater in cities
Willingness to reuse reclaimed municipal wastewater was ascertained through a questionnaire completed by 424 respondents, opinions of 17 experts, and interviews with 15 farmers. Information was collected to assess their knowledge of water scarcity and to determine the influence of demographics, correlation to perceived risk, willingness, challenges, and barriers related to the acceptance of reclaimed water. Most respondents were receptive to the …
Desalinization effect of simulated cut‐soiler‐based residue filled preferential shallow subsurface drainage
Soil salinity is a major soil degradation problem that limits agricultural production. The cut‐soiler constructed preferential shallow subsurface drainage (PSSD) method is a promising salinity management technology for small‐scale application and adoption in drylands. This study assessed the effectiveness of rice residue‐filled PSSD in managing soil salinity and its effect on the physiology and yield of pearl millet. The cut‐soiler simulated drai…
Analysis of microarray data by genetic algorithm
Microarray gene expression data is used to understand the actions of thousands of genes. Just a few genes out of thousands have a significant impact in any cancer process. Finding these defective genes using experimental data is impractical. To locate the relevant genes, computational techniques are required. A method to identifying cancer candidate genes from microarray data is created. Clustering of similar genes is necessary to find co-express…
Designing effective discussion forum in Moocs
Introduction The study focuses on addressing the gap between the perspectives of learners and the designers of Massive Open Online Courses (MOOCs), with a particular emphasis on asynchronous discussion forums within these courses. The primary objective of this study is to bridge the gap in understanding between MOOC designers and learners regarding the organization and usability of discussion forums. Methods It aims to achieve this objective thro…
Virtual Printing Studios for Art Students
Virtual Printing Studios are a disruptive model of teaching printmaking in which digital simulation, artificial intelligence, and immersive technologies are brought into the conventional artistic processes. This paper suggests and tests a detailed Virtual Printing Studio model that is specific to the art students, and allows them to experience learning virtually, not being limited by physical studios, materials, and time. It is based on a digital…
Ai-Enabled Interactive Installations for Modern Museums
The high development of Artificial Intelligence (AI) has altered the visitor interaction paradigm in the contemporary museums. The paper describes the design, implementation, and evaluation of AI-enabled interactive installations that provide more cultural experience by improving the mechanisms of intelligent perception, the personalisation and adaptive interactivity. The suggested system will combine computer vision, natural language processing …
Cross-Disciplinary Art Through Ai-Generated Music and Visuals
Multimodal generative systems change the current creative practices which is the focus of this study, looking at how the field of cross-disciplinary art has grown rapidly due to AI-generated music and visual synthesis. The study combines the concept of deep learning including GANs, VAEs, and transformer-based networks to learn the interaction between sonic and visual representations that can produce coherent works of art that combine sound, visua…
Digital Clay Modeling With Ai-Assisted Feedback
Digital clay modeling has become a paradigm shift in sculptural design in that the users are able to work with digital materials in a way never before possible, with control and fluidity never seen. Many conventional digital sculpture has a workflow, however, that does not provide smart feedback, which facilitates refining, aesthetic refinement, and technical precision. In this paper, a proposal of an AI-based digital clay modeling system will be…
Predictive Algorithms for Structural Integrity in Sculptures
In computational modeling has provided avenues to evaluate and maintain the structural integrity of sculptures, especially those that are exposed to environmental factors or aging materials, or complicated distributions of loads. Finite-element analysis, machine learning, and sensor-based data collection together in predictive algorithms provide a proactive approach of determining the risk of failure before it can be seen to be deteriorating. The…
Ai-Assisted Restoration of Folk Murals
Handmade techniques have been used for a long time in the restoration of folk paintings, which depict cultural stories and popular art. However, these traditional approaches to the restoration of artefacts are not always suitable for the modern demand for conservation. This is especially true in the event of significant damage, lack of records or loss of original colours. The rise of artificial intelligence (AI) has changed the way digital repair…
Parametric Modeling and Ai in Modern Sculpture Education
The use of parametric modeling and artificial intelligence (AI) is quickly transforming the current education of sculpture by bringing in computational practices that create expansions of formal inquiry, material cognition, and design practice that reflects. In this paper, the authors explore how parametric modeling and AI-driven approaches can be taken into consideration in the field of contemporary sculpture lessons and to place these technolog…
Visual Storytelling Techniques in Traditional and Contemporary Painting
Painting has also been a core purpose of visual storytelling since it allows one to express cultural materials, beliefs, and human experiences in a visual form. This paper analyses the changes in the methods of visual storytelling in both traditional and contemporary painting along with the development of the way narrative organization, symbolism, material activities and interaction with the viewer has been changing over the recent decades. Tradi…
Aesthetic Perception and Analysis (5 works) · Architecture and Computational Design (2 works) · Art, Technology, and Culture (2 works) · Artistic and Creative Research (2 works) · Biology (2 works) · Computer Science (2 works) · Convolutional neural network (2 works) · Cultural Heritage Materials Analysis (2 works) · Environmental Science (2 works) · Generative Adversarial Networks and Image Synthesis (2 works)