A maximum occupancy traffic light system created for a Hackathon.
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Updated
Nov 20, 2021 - JavaScript
A maximum occupancy traffic light system created for a Hackathon.
Zipkin E.F., Rossman S., Yackulic C., Wiens J.D., Thorson J.T., Davis R.J., and Grant E.H.C. 2017. Integrating count and detection-nondetection data to model population dynamics. Ecology. 98: 1640-1650.
OFPNet is a baseline solution for Waymo Occupancy and Flow Prediction
Prototype java application for using building sensor data to produce utilization reports and provide live viewing of building capacity. Copied from original gitlab repo. Created for the class CIS*4450 at the University of Guelph
Seminar report and presentation: Convolutional Occupancy Networks publication
In this repository multi-zone average usage profiles for non-domestic building usage categories in Germany are provided. These multi-zone average usage profiles allow the simulation of single-zone building models while at the same time reducing the "single-zone" uncertainty compared to a multi-zone approache drastically.
Code used for unsupervised occupancy detection based on smart water and electricity meter data
Occupancy Prediction using Residential Training Data Collected via Interactive Learning
Zylstra, E. R., D. E. Swann, B. R. Hossack, E. Muths, and R. J. Steidl. 2019. Drought-mediated extinction of an arid-land amphibian: insights from a spatially explicit dynamic occupancy model. Ecological Applications 29:e01859
Unofficial port of the R package unmarked
cabspotting case study
Matter Occupancy Sensor based on the Nordic nRF5340 DK / nRF7002 DK and the Infineon S2GO RADAR BGT60LTR11
Using router status page and IFTTT, set ecobee based on home occupancy
Simulation models using metapopulation modeling framework to investigate relationship between species-traits (colonisation, extinction, dipsersal) and time lags (extinction debt and colonisation lag) in response to landscape degradation and restoration.
In this project I analyzed data from AirBnB listings in Singapore from 2018 to 2022 to see how room types, location, and pandemic-induced trends have shaped Airbnb listings in Singapore over the four years. I have also created visualizations to demonstrate and explain the insights that I have gathered from the analyses.
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