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Jin Zhou
Jin Zhou
Ph.D. Candidate, Duke University
Verified email at duke.edu
Title
Cited by
Cited by
Year
The Impact of Different Levels of Autonomy and Training on Operators’ Drone Control Strategies
J Zhou, H Zhu, M Kim, ML Cummings
ACM Transactions on Human-Robot Interaction (THRI) 8 (4), 1-15, 2019
202019
Sensor-Array Optimization Based on Time-Series Data Analytics for Sanitation-Related Malodor Detection
J Zhou, CM Welling, MM Vasquez, S Grego, K Chakrabarty
IEEE Transactions on Biomedical Circuits and Systems 14 (4), 705-714, 2020
172020
Parallel droplet control in MEDA biochips using multi-agent reinforcement learning
TC Liang, J Zhou, YS Chan, TY Ho, K Chakrabarty, C Lee
International Conference on Machine Learning, 2021
142021
Sensor-Array optimization based on mutual information for sanitation-related malodor alerts
J Zhou, CM Welling, S Kawadiya, MA Deshusses, S Grego, K Chakrabarty
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2019
82019
Stool Image Analysis for Precision Health Monitoring by Smart Toilets
J Zhou, N DeCapite, J McNabb, JR Ruiz, DA Fisher, S Grego, ...
Machine Learning for Healthcare Conference, 709-729, 2021
52021
Stool image analysis for digital health monitoring by smart toilets
J Zhou, J McNabb, N DeCapite, JR Ruiz, DA Fisher, S Grego, ...
IEEE Internet of Things Journal 10 (5), 3720-3734, 2022
32022
sa652 Automated stool image analysis by artificial intelligence in a smart toilet
S Grego, J Zhou, KCB Stoner, JR Ruiz, DA Fisher
Gastroenterology 160 (6), S-582-S-583, 2021
22021
Sensor-based evaluation of a Urine Trap toilet in a shared bathroom
P Kachoria, S Sasidaran, CM Welling, P Rosario, J Zhou, K Chakrabarty, ...
Science of The Total Environment 857, 159178, 2023
12023
S663 Long-Term, Non-Invasive, Objective Stool Monitoring Using a Novel Smart Toilet: A Feasibility Study
S Grego, J Zhou, JR Ruiz, K Lafata, B Hawkins, Y Luo
Official journal of the American College of Gastroenterology| ACG 118 (10S …, 2023
2023
Integrating Multi-Class Deep Learning Segmentation and Pathomic Measurements of Intra-Arterial Thickness to Quantify Arteriosclerosis
J Zhou, D Demeke, X Li, T Ozeki, A Janowczyk, K Chakrabarty, L Barisoni, ...
AAPM 65th Annual Meeting & Exhibition, 2023
2023
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