An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth
| dc.contributor.author | Alhnaity, Bashar | |
| dc.contributor.author | Kollias, Stefanos | |
| dc.contributor.author | Leontidis, Georgios | |
| dc.contributor.author | Jiang, Shouyong | |
| dc.contributor.author | Schamp, Bert | |
| dc.contributor.author | Pearson, Simon | |
| dc.contributor.institution | University of Aberdeen.Vice Principals | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Centre for Energy Transition | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.date.accessioned | 2022-02-01T00:05:10Z | |
| dc.date.available | 2022-02-01T00:05:10Z | |
| dc.date.embargoedUntil | 2022-02-01 | |
| dc.date.issued | 2021-06-01 | |
| dc.description | Acknowledgements This research was supported as part of SMARTGREEN, an Interreg project supported by the North Sea Programme of the European Regional Development Fund of the European Union. We would like to thank all growers (UK and EU), for providing us with the presented data sets. We also wish to thank the reviewers of the paper. Their valuable feedback, suggestions and comments helped us to improve the quality of this work. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 16 | |
| dc.format.extent | 922518 | |
| dc.identifier | 186739213 | |
| dc.identifier | 13920566-3aa1-4b0b-bc62-8f7a670c6f7f | |
| dc.identifier | 85101353290 | |
| dc.identifier.citation | Alhnaity, B, Kollias, S, Leontidis, G, Jiang, S, Schamp, B & Pearson, S 2021, 'An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth', Information Sciences, vol. 560, INS16166, pp. 35-50. https://doi.org/10.1016/j.ins.2021.01.037 | en |
| dc.identifier.doi | 10.1016/j.ins.2021.01.037 | |
| dc.identifier.issn | 0020-0255 | |
| dc.identifier.other | ORCID: /0000-0001-6671-5568/work/91891228 | |
| dc.identifier.uri | https://hdl.handle.net/2164/18007 | |
| dc.identifier.vol | 560 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Information Sciences | en |
| dc.subject | Multi-step prediction | en |
| dc.subject | Wavelet analysis | en |
| dc.subject | Deep neural networks | en |
| dc.subject | Attention mechanism | en |
| dc.subject | Time-series analysis | en |
| dc.subject | LSTM | en |
| dc.subject | Plant growth prediction | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Artificial Intelligence | en |
| dc.subject | Computer Science Applications | en |
| dc.subject.lcc | QA75 | en |
| dc.title | An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth | en |
| dc.type | Journal article | en |
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