DroTrack: High-speed Drone-based Object Tracking Under Uncertainty
Entropy and ShaPe awaRe timE-Series SegmentatiOn forprocessing heterogeneous sensor data
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
This repo is used for COVID-19 Symptom Data Challenge.
Scripts to generate figures for the COVID-19 Behaviour study
Temporal Segmentation based on Information Gain
Wait Time Prediction for Airport Taxis using Weighted Nearest Neighbor Regression
Optimal time window for temporal segmentation of sensor streams in multi-activity recognition
A Device-Free Person Identification Framework Using Bluetooth Signals for Door Access
Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction
Multivariate Electricity Consumption Prediction with Extreme Learning Machine
Algorithmic Governance in Smart Cities: The Conundrum and the Potential of Pervasive Computing Solutions
RUP: Large Room Utilisation Prediction with carbon dioxide sensor
Human occupancy recognition with multivariate ambient sensors
DA-HOC: Semi-supervised Domain Adaptation for Room Occupancy Prediction using CO2 Sensor Data
Automated density-based clustering of spatial urban data for interactive data exploration (based on DBSCAN and HDBSCAN)
General entries of CRUISE research group (information, papers, templates and references for all repositories and projects)
Mobi-UTE: iOS App
Mobi-UTE: Android App
Topical Event Detection on Twitter
Distance preserving graph compression
CAPRA: A contour-based accessible path routing algorithm
Travelling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data
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