Research shows that cyber-hate, illegal or malicious form of cyber-protest and cyber-activism in online social media and Web 2.0 platforms has become a common phenomenon. This is a growing concern and hence automated ...

Technology scaling and continuous increase in data rate have been the driving forces leading the innovations in high-speed interfaces. With the growing need for ultra-low power and high-speed data rate signaling, integrated ...

In this thesis work, we propose an algorithm for smooth 3D object reconstruction from un- organized planar cross sections. We address the problem in its full generality, and show its e ectiveness on sparse set of cutting ...

The goal of our BTP is to make realistic looking residential society having 3D models of villas, apartments including the interior designing of the villas and apartments. Last Semester we made the autocad files of the ...

This project aims to make education accessible to K-12 students with blindness and visual impairment to maintain their education potential in practical and physical courses. The current inclusive education in India has ...

With an increase in usage and availability of wearable devices like GoPro, Microsoft Hololens, Google Glass, etc, egocentric video analysis has become essential. An interesting application is action recognition in egocentric ...

In advance technology nodes, static power consumption is a major component of total system power in systems that do not continuously operate at very high clock frequency. SRAMs not only contribute a major portion of SoC ...

Future multi-core processors will be heterogeneous, be increasingly less reliable, and operate in dynamically changing operating conditions. Such environments will result in a constantly varying pool of hardware resources ...

Omic signatures of disease are important for personalized treatment because of theheterogeneity of diseases. Despite the advancement of computational tools, there arelimited methods that can capture the latent inter-relationships ...

Extensive research on attacks on deep learning models has shown that these models are not as robust as they seem. A carefully designed low magnitude perturbation is enough to cause havoc and completely confuse the model. ...