A5100045823- Sentiment Analysis and Opinion Mining
- AI in cancer detection
- Medical Image Segmentation Techniques
- Complex Network Analysis Techniques
- COVID-19 diagnosis using AI
- Generative Adversarial Networks and Image Synthesis
- Hate Speech and Cyberbullying Detection
- Recommender Systems and Techniques
- Colorectal Cancer Screening and Detection
- Brain Tumor Detection and Classification
- Image Retrieval and Classification Techniques
- Human Pose and Action Recognition
- Speech Recognition and Synthesis
- Cell Image Analysis Techniques
- Video Surveillance and Tracking Methods
- Anomaly Detection Techniques and Applications
- Video Analysis and Summarization
- Phonocardiography and Auscultation Techniques
- Advanced Text Analysis Techniques
- Digital Imaging for Blood Diseases
- Smart Agriculture and AI
Indian Institute of Technology Indore
2024
Mamba, a special case of the State Space Model, is gaining popularity as an alternative to template-based deep learning approaches in medical image analysis. While transformers are powerful architectures, they have drawbacks, including quadratic computational complexity and inability address long-range dependencies efficiently. This limitation affects analysis large complex datasets imaging, where there many spatial temporal relationships. In contrast, Mamba offers benefits that make it...
Sentiment analysis and emotion recognition in videos are challenging tasks, given the diversity complexity of information conveyed different modalities. Developing a highly competent framework that effectively addresses distinct characteristics across various modalities is primary concern this domain. Previous studies on combined multimodal sentiment often overlooked effective fusion for modality integration, intermodal contextual congruity, optimizing concatenated feature spaces, leading to...