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05/10/2023
A Neural Emulator for Uncertainty Estimation of Fire Propagation
Wildfire propagation is a highly stochastic process where small changes ...
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04/20/2023
Fruit Picker Activity Recognition with Wearable Sensors and Machine Learning
In this paper we present a novel application of detecting fruit picker a...
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12/05/2022
An operational framework to automatically evaluate the quality of weather observations from third-party stations
With increasing number of crowdsourced private automatic weather station...
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12/02/2022
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires
We apply Physics Informed Neural Networks (PINNs) to the problem of wild...
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11/08/2022
Quality Control in Weather Monitoring with Dynamic Linear Models
Decisions in agriculture are frequently based on weather. With an increa...
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09/06/2022
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution
We propose a novel approach to perform approximate Bayesian inference in...
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06/17/2022
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models
Computational simulations of wildfire spread typically employ empirical ...
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06/17/2022
Towards Data Assimilation in Level-Set Wildfire Models Using Bayesian Filtering
The level-set method is a prominent approach to modelling the evolution ...
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05/12/2022
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection
We present a decision support system for managing water quality in prawn...
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03/23/2022
An Emulation Framework for Fire Front Spread
Forecasting bushfire spread is an important element in fire prevention a...
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02/26/2020
Enforcing Mean Reversion in State Space Models for Prawn Pond Water Quality Forecasting
The contribution of this study is a novel approach to introduce mean rev...
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02/26/2020
Deep Learning and Statistical Models for Time-Critical Pedestrian Behaviour Prediction
The time it takes for a classifier to make an accurate prediction can be...
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02/25/2020
Sequence-to-Sequence Imputation of Missing Sensor Data
Although the sequence-to-sequence (encoder-decoder) model is considered ...
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02/11/2020
