Wildfire propagation is a highly stochastic process where small changes ...
In this paper we present a novel application of detecting fruit picker
a...
With increasing number of crowdsourced private automatic weather station...
We apply Physics Informed Neural Networks (PINNs) to the problem of wild...
Decisions in agriculture are frequently based on weather. With an increa...
We propose a novel approach to perform approximate Bayesian inference in...
Computational simulations of wildfire spread typically employ empirical
...
The level-set method is a prominent approach to modelling the evolution ...
We present a decision support system for managing water quality in prawn...
Forecasting bushfire spread is an important element in fire prevention a...
The contribution of this study is a novel approach to introduce mean
rev...
The time it takes for a classifier to make an accurate prediction can be...
Although the sequence-to-sequence (encoder-decoder) model is considered ...
Recurrent and convolutional neural networks are the most common architec...