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3D Convolutional and Recurrent Neural Networks for Reactor Perturbation Unfolding Anomaly Detection
Durrant, A., Leontidis, G., Kollias, S.
9th European Commission Conference on EURATOM Research and Training in Safety of Reactor Systems
Contributions to Conferences: Posters
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http://aura.abdn.ac.uk/bitstream/2164/16176/1/2019_Durrant_FISA2019_poster_v1_uol_002_.pdf
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Trajectory Clustering Aided Personalized Driver Intention Prediction for Intelligent Vehicles
Yi, D., Su, J., Liu, C., Chen, W.
IEEE Transactions on Industrial Informatics, vol. 15, no. 6, pp. 3693-3702
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https://doi.org/10.1109/TII.2018.2890141
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Loughborough University repository
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Model-Based Fault Diagnosis System Verification Using Reachability Analysis
Su, J., Chen, W.
IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 4, pp. 742 - 751
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https://doi.org/10.1109/TSMC.2017.2710132
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http://aura.abdn.ac.uk/bitstream/2164/18948/1/Su_etal_IEEE_Model_Based_Fault_Diagnosis_VOR.pdf
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Are Distributed Ledger Technologies the panacea for food traceability?
Pearson, S., May, D., Leontidis, G., Swainson, M., Brewer, S., Bidaut, L., Frey, J. G., Parr, G., Maull, R., Zisman, A.
Global Food Security, vol. 20, pp. 145-149
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https://doi.org/10.1016/j.gfs.2019.02.002
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http://aura.abdn.ac.uk/bitstream/2164/14180/1/Pearson_etal_GFS_Are_distributed_ledger_VOR.pdf
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View publication in Scopus
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Potential Bands of Sentinel-2A Satellite for Classification Problems in Precision Agriculture
Zhang, T., Su, J., Liu, C., Chen, W.
International Journal of Automation and Computing, vol. 16, no. 1, pp. 16-26
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https://doi.org/10.1007/s11633-018-1143-x
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http://aura.abdn.ac.uk/bitstream/2164/18536/1/Zhang_et_al_IJAC_Potential_Bands_VOR.pdf
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View publication in Scopus
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Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis
Ribeiro, F. D. S., Caliva, F., Chionis, D., Dokhane, A., Mylonakis, A., Demaziere, C., Leontidis, G., Kollias, S.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.1109/SSCI.2018.8628637
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View publication in Scopus
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Locust Recognition and Detection via Aggregate Channel Features
Yi, D., Su, J., Chen, W.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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New Driver Workload Prediction Using Clustering-Aided Approaches
Yi, D., Su, J., Liu, C., Chen, W.
IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 1, pp. 64-70
Contributions to Journals: Articles
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https://doi.org/10.1109/TSMC.2018.2871416
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Loughborough University repository
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Personalized Driver Workload Inference by Learning From Vehicle Related Measurements
Yi, D., Su, J., Liu, C., Chen, W.
IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 1, pp. 159-168
Contributions to Journals: Articles
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https://doi.org/10.1109/TSMC.2017.2764263
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http://aura.abdn.ac.uk/bitstream/2164/14008/1/Yi_et_al_IEEETSMCS_PersonalizedDriverWorkload_VoR.pdf
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Loughborough University repository
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A Maximum Entropy Deep Reinforcement Learning Neural Tracker
Balaram, S., Arulkumaran, K., Dai, T., Bharath, A. A.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.1007/978-3-030-32692-0_46
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http://dx.doi.org/10.1007/978-3-030-32692-0_46