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Parallelizing Low Vision Feature Extraction through GPUs
Parallelizing Low Vision Feature Extraction through GPUs

Accelerating feature extraction and matching algorithms using GPUs for low vision images is the aim of this work. Feature relationships are built from pixel level features to facilitate subsequent learning. . .

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Context Aware User Profiles for Mobile Phones
Context Aware User Profiles for Mobile Phones

Modelling the changing behavior of a user is done by defining a user context for personalized ser­vices. Though many parameters have been identi­fied to sense the context of a user. . .

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Smart Water Management
Smart Water Management

The project titled “Smart water management” is submitted to DeitY. Dr. P. Bagavathi Sivakumar, Dr. Latha Parameswaran, Mr. V. Ananthanarayanan, Mr.Prashant Nair are the investigators. The duration of the project is 3 years.  Project Grant /. . .

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Tech-based Health Monitoring & Awareness
Tech-based Health Monitoring & Awareness

Tech-based Health Monitoring & Awareness – Antenatal and Vaccination Awareness Using IoT and Mobile DevicesThis project from AmritaCREATE investigate the degree to which essential health care services are available in. . .

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Customizable Product Recommender Systems
Customizable Product Recommender Systems

Current product recommender systems only allow users to select from off the shelf products. However if they wish to mix and match components to create customized products, current recommendation systems. . .

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Augmented Reality Headset
Augmented Reality Headset

The project titled “Augmented Reality Headset” is funded by Amrita TBI Tide. Mr. Shriram K .V. is the Principal Investigator.

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Super resolution of Images for Breast Cancer from Mammography Images
Super resolution of Images for Breast Cancer from Mammography Images

In this work an efficient lifting scheme based on denoising for super resolution reconstruction of low resolution mammogram images is proposed. We have presented a way to improve the quality. . .

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Predictive Modeling of Complex IT systems
Predictive Modeling of Complex IT systems

The project titled “Predictive Modeling of Complex IT systems” is funded by DRDO. Mr. Prashant R. Nair, Dr. M. Sethumadhavan are the investigators. The duration of the project is 1 year. Project Grant / Assistance: Rs.. . .

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Context based Retrieval Systems
Context based Retrieval Systems

This project aims to improve the state of art in effective retrieval of text and image data from large web corpora. As part of this project novel topic modeling approaches. . .

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