no code implementations • 30 Nov 2020 • Amish Mittal, Sourav Sahoo, Arnhav Datar, Juned Kadiwala, Hrithwik Shalu, Jimson Mathew
Reliable detection of the prodromal stages of Alzheimer's disease (AD) remains difficult even today because, unlike other neurocognitive impairments, there is no definitive diagnosis of AD in vivo.
no code implementations • 30 Sep 2020 • Neeraj, Jimson Mathew, Ranjan Kumar Behera, Zenin Easa Panthakkalakath
In this paper, we propose a comparative analysis of deep learning models to forecast the COVID-19 outbreak as an alternative to statistical models.
no code implementations • 28 May 2020 • Alwyn Mathew, Aditya Prakash Patra, Jimson Mathew
The dense depth estimation of a 3D scene has numerous applications, mainly in robotics and surveillance.
no code implementations • 28 May 2020 • Alwyn Mathew, Aditya Prakash Patra, Jimson Mathew
It has been shown in recent works that these deep neural networks are highly vulnerable to adversarial samples for tasks like classification, detection and segmentation.
no code implementations • 28 May 2020 • Alwyn Mathew, Abhijit Roy, Jimson Mathew
The rising demand for electricity and its essential nature in today's world calls for intelligent home energy management (HEM) systems that can reduce energy usage.