Sangeet Saroha
Biographic Data
| ID | 10127786 |
|---|---|
| NAME | Sangeet Saroha |
| GIVEN NAMES | Sangeet |
| FAMILY NAME | Saroha |
| SIGNATURE | SAROHA S |
| AFFILIATIONS | Noida International University |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Emotion Recognition in Ai-Generated Music
The paper under investigation explores the problem of emotion recognition in AI-generated music by applying the concepts of cognitive psychology, affective neuroscience, and computational creativity. It presents a valence-arousal modeling, deep neural architecture and listener-based feedback loop approach to the emotional interpretation, generation, and critical analysis of emotional signals in music through the use of AI. The system uses hybrid …
Cognitive Load Reduction in Media Learning via Ai
The momentum of multimedia learning environments has increased the issues related to how to administer the cognitive load of learners. The paper describes a cognitively intelligent real-time detection of cognitive load and next-generation media optimization framework that is based on Cognitive Load Theory (CLT). The proposed system combines multimodal sensing (EEG, eye-tracking, affective cues) with a hybrid CNN-BLSTM inference engine and an RL-b…
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…
Visual Semantics of Ai-Generated Paintings
This paper examines the visual semantics of AI generated paintings focusing on the crossroads between the computational creativity and the aesthetic interpretation of paintings by humans. With the rise of artificial intelligence based on powerful image-generation models, including Generative Adversarial Networks (GANs) and diffusion models, the ability of machines to generate image-based artworks with visual complexity and symbolic richness has i…
Integrating Chatbots in Creative Design Learning
The introduction of chatbot technologies in the creative design learning setting is transforming the way students formulate, test and develop artistic ideas. The more conversational AI agents develop, the more they become interactive collaborative creators that are able to offer real-time feedback, create alternative design paths, and improve reflective thinking. This paper focuses on the educational utility of chat bots in stimulating creativity…
No prominent works on this page.
Emotion Recognition in Ai-Generated Music
The paper under investigation explores the problem of emotion recognition in AI-generated music by applying the concepts of cognitive psychology, affective neuroscience, and computational creativity. It presents a valence-arousal modeling, deep neural architecture and listener-based feedback loop approach to the emotional interpretation, generation, and critical analysis of emotional signals in music through the use of AI. The system uses hybrid …
Cognitive Load Reduction in Media Learning via Ai
The momentum of multimedia learning environments has increased the issues related to how to administer the cognitive load of learners. The paper describes a cognitively intelligent real-time detection of cognitive load and next-generation media optimization framework that is based on Cognitive Load Theory (CLT). The proposed system combines multimodal sensing (EEG, eye-tracking, affective cues) with a hybrid CNN-BLSTM inference engine and an RL-b…
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…
Visual Semantics of Ai-Generated Paintings
This paper examines the visual semantics of AI generated paintings focusing on the crossroads between the computational creativity and the aesthetic interpretation of paintings by humans. With the rise of artificial intelligence based on powerful image-generation models, including Generative Adversarial Networks (GANs) and diffusion models, the ability of machines to generate image-based artworks with visual complexity and symbolic richness has i…
Integrating Chatbots in Creative Design Learning
The introduction of chatbot technologies in the creative design learning setting is transforming the way students formulate, test and develop artistic ideas. The more conversational AI agents develop, the more they become interactive collaborative creators that are able to offer real-time feedback, create alternative design paths, and improve reflective thinking. This paper focuses on the educational utility of chat bots in stimulating creativity…
Perception (3 works) · Aesthetic Perception and Analysis (2 works) · Cognition (2 works) · Fidelity (2 works) · Generative Adversarial Networks and Image Synthesis (2 works) · Affective Computing (1 works) · AI in Service Interactions (1 works) · Chatbot (1 works) · Cognitive architecture (1 works) · Cognitive Load (1 works)