31 citations · 100 across the 12 of their papers we have counts for
5 papers · 1 filter
HazeDose: Design and Analysis of a Personal Air Pollution Inhaled Dose Estimation System using Wearable Sensors
Ke Hu, Ashfaqur Rahman, Hassan Habibi Gharakheili +1
Nowadays air pollution becomes one of the biggest world issues in both developing and developed countries. Helping individuals understand their air pollution exposure and health ri…
Enforcing Mean Reversion in State Space Models for Prawn Pond Water Quality Forecasting
Joel Janek Dabrowski, Ashfaqur Rahman, Daniel Edward Pagendam +1
The contribution of this study is a novel approach to introduce mean reversion in multi-step-ahead forecasts of state-space models. This approach is demonstrated in a prawn pond wa…
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction
Joel Janek Dabrowski, Johan Pieter de Villiers, Ashfaqur Rahman +1
The time it takes for a classifier to make an accurate prediction can be crucial in many behaviour recognition problems. For example, an autonomous vehicle should detect hazardous…
Sequence-to-Sequence Imputation of Missing Sensor Data
Joel Janek Dabrowski, Ashfaqur Rahman
Although the sequence-to-sequence (encoder-decoder) model is considered the state-of-the-art in deep learning sequence models, there is little research into using this model for re…
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting
Joel Janek Dabrowski, YiFan Zhang, Ashfaqur Rahman
Recurrent and convolutional neural networks are the most common architectures used for time series forecasting in deep learning literature. These networks use parameter sharing by…