7 citations · 9 across the 7 of their papers we have counts for
8 papers
Dense Air Quality Maps Using Regressive Facility Location Based Drive By Sensing
Charul Paliwal, Pravesh Biyani
Currently, fixed static sensing is a primary way to monitor environmental data like air quality in cities. However, to obtain a dense spatial coverage, a large number of static mon…
Variational Bayesian Filtering with Subspace Information for Extreme Spatio-Temporal Matrix Completion
Charul Paliwal, Pravesh Biyani, Ketan Rajawat
Missing data is a common problem in real-world sensor data collection. The performance of various approaches to impute data degrade rapidly in the extreme scenarios of low data sam…
Impulse Denoising From Hyper-Spectral Images: A Blind Compressed Sensing Approach
Angshul Majumdar, Naushad Ansari, Hemant Aggarwal +1
In this work we propose a technique to remove sparse impulse noise from hyperspectral images. Our algorithm accounts for the spatial redundancy and spectral correlation of such ima…
Benchmark Dataset for Timetable Optimization of Bus Routes in the City of New Delhi
Anubhav Jain, Avdesh Kumar, Saumya Balodi +1
Public transport is one of the major forms of transportation in the world. This makes it vital to ensure that public transport is efficient. This research presents a novel real-tim…
To each route its own ETA: A generative modeling framework for ETA prediction
Charul, Pravesh Biyani
Accurate expected time of arrival (ETA) information is crucial in maintaining the quality of service of public transit. Recent advances in artificial intelligence (AI) has led to m…
Online Variational Bayesian Subspace Filtering with Applications
Charul, Uttkarsha Bhatt, Pravesh Biyani +1
Matrix completion and robust principal component analysis have been widely used for the recovery of data suffering from missing entries or outliers. In many real-world applications…