LS
Latha Subbiah
SRM Institute of Science and Technology
Research areas: Computer Science · Computer Vision and Pattern Recognition · Medical Image Segmentation Techniques · Artificial Intelligence in Healthcare · Cerebrovascular and Carotid Artery Diseases
0000-0001-7978-7720
Employment
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SRM Institute of Science and Technology Assistant Professor2012 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (44)
- AI-Enabled IOT Health Monitoring with Multi-Vital Sensing and Location-Triggered Emergency Alert Mechanism Save
- Self-Adaptive HOA Driven Deep Optimization Framework for Robust Infant Pose Estimation Save
- Age-related macular degeneration diagnosis in optical coherence tomography images with gray level co-occurrence matrix features, genetic algorithms, and random forest classifier Save
- Enhanced AMD detection in OCT images using GLCM texture features with Machine Learning and CNN methods Save
- Classification of Optical Coherence Tomography Images with Customized Features Using Machine Learning Models Save
- Intelligent Aquarium Monitoring System Using YOLOv5 and IoT-Based Environmental Sensing Save
- Machine Learning Algorithms for Medical Diagnosis and Prognosis Save
- Machine Learning Approach for Different Habitual Activity Versus Sleep Intermittent Stages from Time-Efficient Perspectives based on Facial Features Save
- Pulmoset Classification Using Machine Learning Algorithms Save
- SpO2 Prediction Using Machine Learning Approach by Comparing Habitual Activity and Sleep Stages with Improved Accuracy for Walk Inside Dwelling Environment Save
- THE EMPIRICAL COMPARISON OF DEEP NEURAL NETWORK OPTIMIZERS FOR BINARY CLASSIFICATION OF OCT IMAGES Save
- Ultrasound Image Analysis of Carotid Artery Save
- A Cost-Effective Recursive Adaptive Filter Setup for Reducing Vehicle Interior Sound Save
- Integrating Intelligent Chatbots in Healthcare: AI Based Healthcare Chatbot Save
- Optimization of Support Vector Machines Performance using OCT Images Save
- Different Methods to Remove Baseline Wandering Noise from the ECG Signal: A Research Perspective Save
- Discernment on assistive technology for the care and support requirements of older adults and differently-abled individuals Save
- Performance Analysis of Various Deep Learning Denoise Techniques on Retinal OCT Images Save
- Public Financing Through Decentralised Application Save
- Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images Save