18 citations · 36 across the 7 of their papers we have counts for
5 papers · 1 filter
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning
Joel Janek Dabrowski, Ashfaqur Rahman
In this paper we present a novel application of detecting fruit picker activities based on time series data generated from wearable sensors. During harvesting, fruit pickers pick f…
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection
Joel Janek Dabrowski, Ashfaqur Rahman, Andrew Hellicar +2
We present a decision support system for managing water quality in prawn ponds. The system uses various sources of data and deep learning models in a novel way to provide 24-hour f…
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…