Human emotion recognition from visual cues has gained significant attention due to its applications in human-computer interaction, surveillance, and healthcare. However, relying on a single modality often limits the robustness of emotion understanding in real-world scenarios. To address this, we propose a novel hybrid...
R. J. R. Kumar, G. Brindha, S. Gayathri et al.· International Conference on...· 0 citations
This paper introduces a Smart Greenhouse Monitoring and Control System that uses IoT, embedded sensors, and machine learning to create a healthy and automated environment for plant growth. The system continuously measures key parameters such as temperature, humidity, soil moisture, and gas levels. Processes the data co...
D. Shahila, P. Jeyanthy, R. J. R. Kumar et al.· International Conference on...· 0 citations
Cerebral microbleeds (CMBs) are small hemosiderin deposits associated with cerebral small vessel disease and are considered important biomarkers for stroke risk, dementia, and neurodegenerative disorders. Manual identification of CMBs in susceptibility-weighted imaging (SWI) or T2*-weighted MRI is time-consuming and pr...
B. Stanley, R. J. R. Kumar, M. Ajisha et al.· International Conference on...· 0 citations
The early detection of individuals with Mild Cognitive Impairment (MCI) who are at high risk of developing Alzheimer’s Disease (AD) is important for proper clinical intervention and disease management. Studies show that there is a strong link between brain age, which is estimated from brain scan data, and actual chrono...
B. Stanley, K. Sindhubala, J. S. Shemona et al.· International Conference on...· 0 citations
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