4 citations · 10 across the 8 of their papers we have counts for
8 papers
Space to Policy: Scalable Brick Kiln Detection and Automatic Compliance Monitoring with Geospatial Data
Zeel B Patel, Rishabh Mondal, Shataxi Dubey +3
Air pollution kills 7 million people annually. The brick kiln sector significantly contributes to economic development but also accounts for 8-14\% of air pollution in India. Polic…
VayuBuddy: an LLM-Powered Chatbot to Democratize Air Quality Insights
Zeel B Patel, Yash Bachwana, Nitish Sharma +2
Nearly 6.7 million lives are lost due to air pollution every year. While policymakers are working on the mitigation strategies, public awareness can help reduce the exposure to air…
Eye in the Sky: Detection and Compliance Monitoring of Brick Kilns using Satellite Imagery
Rishabh Mondal, Shataxi Dubey, Vannsh Jani +4
Air pollution kills 7 million people annually. The brick manufacturing industry accounts for 8%-14% of air pollution in the densely populated Indo-Gangetic plain. Due to the unorga…
Scalable Methods for Brick Kiln Detection and Compliance Monitoring from Satellite Imagery: A Deployment Case Study in India
Rishabh Mondal, Zeel B Patel, Vannsh Jani +1
Air pollution kills 7 million people annually. Brick manufacturing industry is the second largest consumer of coal contributing to 8%-14% of air pollution in Indo-Gangetic plain (h…
Challenges in Gaussian Processes for Non Intrusive Load Monitoring
Aadesh Desai, Gautam Vashishtha, Zeel B Patel +1
Non-intrusive load monitoring (NILM) or energy disaggregation aims to break down total household energy consumption into constituent appliances. Prior work has shown that providing…
Deep Gaussian Processes for Air Quality Inference
Aadesh Desai, Eshan Gujarathi, Saagar Parikh +3
Air pollution kills around 7 million people annually, and approximately 2.4 billion people are exposed to hazardous air pollution. Accurate, fine-grained air quality (AQ) monitorin…
Uncertainty Disentanglement with Non-stationary Heteroscedastic Gaussian Processes for Active Learning
Zeel B Patel, Nipun Batra, Kevin Murphy
Gaussian processes are Bayesian non-parametric models used in many areas. In this work, we propose a Non-stationary Heteroscedastic Gaussian process model which can be learned with…
Changing Computer-Usage Behaviours: What Users Want, Use, and Experience
Mina Khan, Zeel Patel, Kathryn Wantlin +2
Technology based screentime, the time an individual spends engaging with their computer or cell phone, has increased exponentially over the past decade, but perhaps most alarmingly…