M Vignesh
Biographic Data
| ID | 8102778 |
|---|---|
| NAME | M Vignesh |
| GIVEN NAMES | M |
| FAMILY NAME | Vignesh |
| SIGNATURE | VIGNESH M |
| AFFILIATIONS | Karpagam Academy of Higher Education |
| ORCID | 0000-0001-7552-3154 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Deep Learning Approaches to Emotion Recognition in Photographic Images
Photo Emotion Recognition (PER) is supposed to learn what emotion is expressed or invoked by an image based on visual representations of color harmony, composition, object-scene semantics, human expressions in the presence when possible. In contrast to face-centric affect analysis, PER needs to analyze the emotions that frequently are a result of situational semantics and aesthetics, as opposed to explicit facial expression. This enhances ambigui…
Data Analytics System for Offensive Memes Text Classification in Social Network
Sentiment analysis has evolved as a pivotal element of understanding mortal feelings and opinions in the digital period. Memes, as a popular form of online communication, frequently synopsize sentiments in a visually engaging manner. In the realm of online communication, the frequence of multi-modal content, particularly memes combining textbook and images, has raised enterprises regarding the dispersion of obnoxious or dangerous material. This e…
No prominent works on this page.
Data Analytics System for Offensive Memes Text Classification in Social Network
Sentiment analysis has evolved as a pivotal element of understanding mortal feelings and opinions in the digital period. Memes, as a popular form of online communication, frequently synopsize sentiments in a visually engaging manner. In the realm of online communication, the frequence of multi-modal content, particularly memes combining textbook and images, has raised enterprises regarding the dispersion of obnoxious or dangerous material. This e…
Deep Learning Approaches to Emotion Recognition in Photographic Images
Photo Emotion Recognition (PER) is supposed to learn what emotion is expressed or invoked by an image based on visual representations of color harmony, composition, object-scene semantics, human expressions in the presence when possible. In contrast to face-centric affect analysis, PER needs to analyze the emotions that frequently are a result of situational semantics and aesthetics, as opposed to explicit facial expression. This enhances ambigui…
Advanced Malware Detection Techniques (1 work) · Analytics (1 work) · Computer Science (1 work) · Convolutional neural network (1 work) · Data science (1 work) · Deep learning (1 work) · Disgust (1 work) · Emotion and Mood Recognition (1 work) · Emotion classification (1 work) · Engineering (1 work)