29 citations · 43 across the 5 of their papers we have counts for
4 papers · 1 filter
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data
Mashud Rana, Ashfaqur Rahman, Daniel Smith
The increasingly wide usage of location aware sensors has made it possible to collect large volume of trajectory data in diverse application domains. Machine learning allows to stu…
Solar Power Time Series Forecasting Utilising Wavelet Coefficients
Sarah Almaghrabi, Mashud Rana, Margaret Hamilton +1
Accurate and reliable prediction of Photovoltaic (PV) power output is critical to electricity grid stability and power dispatching capabilities. However, Photovoltaic (PV) power ge…
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…
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting
Yang Lin, Irena Koprinska, Mashud Rana
In this paper, we present SSDNet, a novel deep learning approach for time series forecasting. SSDNet combines the Transformer architecture with state space models to provide probab…