15 citations · 34 across the 6 of their papers we have counts for
6 papers
Quantifying disparities in air pollution exposures across the United States using home and work addresses
Priyanka deSouza, Susan Anenberg, Carrie Makarewicz +6
While human mobility plays a crucial role in determining air pollution exposures and health risks, research to-date has assessed risks based solely on residential location. Here we…
Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters
Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia +5
Accurate control of autonomous marine robots still poses challenges due to the complex dynamics of the environment. In this paper, we propose a Deep Reinforcement Learning (DRL) ap…
Evaluating the Performance of Low-Cost PM2.5 Sensors in Mobile Settings
Priyanka deSouza, An Wang, Yuki Machida +7
Low-cost sensors (LCS) for measuring air pollution are increasingly being deployed in mobile applications but questions concerning the quality of the measurements remain unanswered…
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus
Fan Zhang, Fabio Duarte, Ruixian Ma +3
In this paper, we propose a robust and parsimonious approach using Deep Convolutional Neural Network (DCNN) to recognize and interpret interior space. DCNN has achieved incredible…
Urban association rules: uncovering linked trips for shopping behavior
Yuji Yoshimura, Stanislav Sobolevsky, Juan N Bautista Hobin +2
In this article, we introduce the method of urban association rules and its uses for extracting frequently appearing combinations of stores that are visited together to characteriz…
Mining Urban Performance: Scale-Independent Classification of Cities Based on Individual Economic Transactions
Stanislav Sobolevsky, Izabela Sitko, Sebastian Grauwin +4
Intensive development of urban systems creates a number of challenges for urban planners and policy makers in order to maintain sustainable growth. Running efficient urban policies…