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Found 6 papers, 1 papers with code
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data
The increasingly wide usage of location aware sensors has made it possible to collect large volume of trajectory data in diverse application domains.
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective
From an application perspective, we review applications of these methods to movement analytics in a general sense and across various industries.
Solar Power Time Series Forecasting Utilising Wavelet Coefficients
The Wavelet Transform (WT) has been utilised in time series applications, such as Photovoltaic (PV) power prediction, to model the stochastic volatility and reduce prediction errors.
Deep Learning for Prawn Farming: Forecasting and Anomaly Detection
We present a decision support system for managing water quality in prawn ponds.
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting
In this paper, we present SSDNet, a novel deep learning approach for time series forecasting.
Temporal Convolutional Attention Neural Networks for Time Series Forecasting
TCAN requires less number of convolutional layers than TCNN for an extended receptive field, is faster to train and is able to visualize the most important timesteps for the prediction.
Multivariate Time Series Forecasting
Probabilistic Time Series Forecasting
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