CRUISE Research Group

AuxMobLCast

COCOA

COCOA: Cross Modality Contrastive Learning for Sensor Data

DIEF_BTS

The Building TimeSeries (BTS) dataset covers three buildings over a three-year period, comprising more than ten thousand timeseries data points with hundreds of unique ontologies. Moreover, the metadata is standardized using the Brick schema.

DroTrack

DroTrack: High-speed Drone-based Object Tracking Under Uncertainty

ESPRESSO

Entropy and ShaPe awaRe timE-Series SegmentatiOn forprocessing heterogeneous sensor data

Evolutionary-Multivariate-Electricity-Consumption-Prediction

Multivariate Electricity Consumption Prediction with Extreme Learning Machine

G-CREWE

Graph-Compression-Shrink-

Distance preserving graph compression

IGTS-python

Temporal Segmentation based on Information Gain

TSCP2

Time Series Change Point Detection based on Contrastive Predictive Coding

cruiseresearchgroup/Travelling-Officer-Problem

Travelling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data

cruiseresearchgroup/CAPRA-Accessible-Path-Routing

CAPRA: A contour-based accessible path routing algorithm