Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
-
Updated
Dec 10, 2024
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
Summary of open source code for deep learning models in the field of traffic prediction
When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time
IoT and ML to assuage the uncertainty in city bus schedules. Track live running status and avail tentative schedule of buses. Minimal IoT setup with a central ML-driven web-backend.
GSTA: Gated Spatial-Temporal Attention Approach for Travel Time Prediction
Dublin Bus app developed as part of the MSc in Computer Science (Conversion) Summer Research Practicum.
🌎 🚙📚 Predicting travel times and traffic density on a highway in Slovenia
Home Market Harvester is a Python tool for scraping OLX, otodom rental data, enabling property market analysis with automated local CSV storage.
a flask web api for travel time estimation
Application for planning and optimization of the routes in uncertain conditions. Helps to choose the best departure time for the specific route. Uses Bing Maps API.
Add a description, image, and links to the travel-time-prediction topic page so that developers can more easily learn about it.
To associate your repository with the travel-time-prediction topic, visit your repo's landing page and select "manage topics."