4 citations · 6 across the 11 of their papers we have counts for
3 papers · 1 filter
Bayesian-Symbolic Integration for Uncertainty-Aware Parking Prediction
Alireza Nezhadettehad, Arkady Zaslavsky, Abdur Rakib +1
Accurate parking availability prediction is critical for intelligent transportation systems, but real-world deployments often face data sparsity, noise, and unpredictable changes.…
Indoor PM2.5 forecasting and the association with outdoor air pollution: a modelling study based on sensor data in Australia
Wenhua Yu, Bahareh Nakisa, Seng W. Loke +3
Exposure to poor indoor air quality poses significant health risks, necessitating thorough assessment to mitigate associated dangers. This study aims to predict hourly indoor fine…
Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art
Alireza Nezhadettehad, Arkady Zaslavsky, Rakib Abdur +4
Predicting the future location of mobile objects reinforces location-aware services with proactive intelligence and helps businesses and decision-makers with better planning and ne…