Romil Jain
Biographic Data
| ID | 8967836 |
|---|---|
| NAME | Romil Jain |
| GIVEN NAMES | Romil |
| FAMILY NAME | Jain |
| SIGNATURE | JAIN R |
| AFFILIATIONS | Chitkara University |
| VERIFIED | No |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Context-Aware Natural Language Processing and Deep Learning System for Emotion Recognition in Human-Computer Interaction
Emotion recognition in human–computer interaction (HCI) is a complex yet essential task with wide-ranging applications in mental health monitoring, intelligent systems, and user experience enhancement. This research proposes a context-aware Natural Language Processing (NLP) and deep learning-based framework for accurate detection of emotional states (ES) from human communication. Unlike traditional approaches that rely solely on acoustic or lexic…
Reinventing Curriculum Through Ai-Based Visual Feedback
The paper introduces a unified system of AI-based visual feedback in order to redefine the process of curriculum design with the help of information-driven personalization and adaptive learning. The proposed system will integrate Convolutional Neural Networks (CNNs) to extract visual features, Long Short-Term Memory (LSTM) networks to model a temporal sequence, and the Explainable AI (XAI) to be interpretable. The model is the integration of mult…
Ai as a Medium in Conceptual Art Practice
This paper sets out to review the advent of artificial intelligence as an important medium in modern conceptual art practice, with particular reference to its ability to both extend and confuse the traditional operating assumption of ideas being the primary element in conceptual art practice. The study is based on the historical development of conceptualism, starting with the early linguistic and systemic arts and moving to the subsequent computa…
Predictive Models for Creative Talent Identification
Creative talent is a multidimensional human ability that cannot be evaluated fully by traditional assessments based solely on portfolios, standardised tasks or subjective evaluation. In this paper, a multimodal predictive architecture is proposed that fuses textual, visual and behavioural data to predict creative potential more accurately, at a scale and with fairness that is achievable to human standards. In particular, it uses language models b…
Integrating Ar and Ai for Immersive Sculpture Exhibitions
The paper addresses the issue of combining Augmented Reality (AR) and Artificial Intelligence (AI) to create the experience of thicker and adaptive sculpture display that will change the interactions of the audience in the digital era. The proposed scheme outlines how AR technologies can be employed to add to physical sculptures some dynamic and interactive depth of information and sensory enhancement and AI will personalize these experiences to …
The Impact of Gender Perceptions on Attitudes towards Violence and Equality
Film production is the process of creating a film, involving stages such as progress, pre-production, invention, post-production, and sharing. It encompasses planning, scripting, shooting, editing, and finalizing the film for public viewing. The process of imagination drives innovation in scripting, directing, and cinematography, resulting in unique, engaging experiences that captivate audiences with their emotive stories. The principle of this i…
No prominent works on this page.
The Impact of Gender Perceptions on Attitudes towards Violence and Equality
Film production is the process of creating a film, involving stages such as progress, pre-production, invention, post-production, and sharing. It encompasses planning, scripting, shooting, editing, and finalizing the film for public viewing. The process of imagination drives innovation in scripting, directing, and cinematography, resulting in unique, engaging experiences that captivate audiences with their emotive stories. The principle of this i…
Reinventing Curriculum Through Ai-Based Visual Feedback
The paper introduces a unified system of AI-based visual feedback in order to redefine the process of curriculum design with the help of information-driven personalization and adaptive learning. The proposed system will integrate Convolutional Neural Networks (CNNs) to extract visual features, Long Short-Term Memory (LSTM) networks to model a temporal sequence, and the Explainable AI (XAI) to be interpretable. The model is the integration of mult…
Ai as a Medium in Conceptual Art Practice
This paper sets out to review the advent of artificial intelligence as an important medium in modern conceptual art practice, with particular reference to its ability to both extend and confuse the traditional operating assumption of ideas being the primary element in conceptual art practice. The study is based on the historical development of conceptualism, starting with the early linguistic and systemic arts and moving to the subsequent computa…
Predictive Models for Creative Talent Identification
Creative talent is a multidimensional human ability that cannot be evaluated fully by traditional assessments based solely on portfolios, standardised tasks or subjective evaluation. In this paper, a multimodal predictive architecture is proposed that fuses textual, visual and behavioural data to predict creative potential more accurately, at a scale and with fairness that is achievable to human standards. In particular, it uses language models b…
Integrating Ar and Ai for Immersive Sculpture Exhibitions
The paper addresses the issue of combining Augmented Reality (AR) and Artificial Intelligence (AI) to create the experience of thicker and adaptive sculpture display that will change the interactions of the audience in the digital era. The proposed scheme outlines how AR technologies can be employed to add to physical sculptures some dynamic and interactive depth of information and sensory enhancement and AI will personalize these experiences to …
Context-Aware Natural Language Processing and Deep Learning System for Emotion Recognition in Human-Computer Interaction
Emotion recognition in human–computer interaction (HCI) is a complex yet essential task with wide-ranging applications in mental health monitoring, intelligent systems, and user experience enhancement. This research proposes a context-aware Natural Language Processing (NLP) and deep learning-based framework for accurate detection of emotional states (ES) from human communication. Unlike traditional approaches that rely solely on acoustic or lexic…
Aesthetic Perception and Analysis (3 works) · Accountability (1 works) · Art, Technology, and Culture (1 works) · Artificial Intelligence in Games (1 works) · Augmented reality (1 works) · Augmented Reality Applications (1 works) · CLARITY (1 works) · Conceptual framework (1 works) · Convolutional neural network (1 works) · Creativity (1 works)