eCite Digital Repository

Author: Shahriar, S (Dr Sumon Shahriar)

Number of items: 17

Journal Article
Rahman, A and Timms, G and Shahriar, MS and Sennerten, C and Davie, A and Lindley, CA and Hellicar, AD and Smith, G and Biggins, D and Coombe, M, Association between imaging and XRF sensing: A machine learning approach to discover mineralogy in abandoned mine voids, IEEE Sensors Journal, 16, (11) pp. 4555-4565. ISSN 1530-437X (2016) [Refereed Article] 
Shahriar, MS and McCulluch, J, A dynamic data-driven decision support for aquaculture farm closure, Procedia Computer Science, 29 pp. 1236-1245. ISSN 1877-0509 (2014) [Refereed Article]
Kamruzzaman, M and Shahriar, MS and Beecham, S, Assessment of short term rainfall and stream flows in South Australia, Water, 6, (11) pp. 3528-3544. ISSN 2073-4441 (2014) [Refereed Article]
Shahriar, MS and Rahman, A and McCulloch, J, Predicting shellfish farm closures using time series classification for aquaculture decision support, Computers and Electronics in Agriculture, 102 pp. 85-97. ISSN 0168-1699 (2014) [Refereed Article] 
Rahman, A and Shahriar, MS and D'Este, C and Smith, G and McCulloch, J and Timms, G, Time-series prediction of shellfish farm closure: a comparison of alternatives, Information Processing in Agriculture, 1, (1) pp. 42-50. ISSN 2214-3173 (2014) [Refereed Article]
Smith, DV and Shahriar, MS, A context aware sound classifier applied to prawn feed monitoring and energy disaggregation, Knowledge-Based Systems, 52 pp. 21-31. ISSN 0950-7051 (2013) [Refereed Article] 
Rahman, A and Shahriar, MS, Algae growth prediction through identification of influential environmental variables: A machine learning approach, International Journal of Computational Intelligence and Applications, 12, (2) Article 1350008. ISSN 1469-0268 (2013) [Refereed Article] 
Shahriar, MS and De Souza, P and Timms, GP, On retrieving patterns in environmental sensor data, Earth Science Informatics, 5, (1) pp. 43-59. ISSN 1865-0473 (2012) [Non Refereed Article]
Conference Publication
Rahman, A and Shahriar, MS and Timms, G and Lindley, C and Davie, AB and Biggins, D and Hellicar, A and Sennersten, C and Smith, G and Coombe, M, A machine learning approach to find association between imaging features and XRF signatures of rocks in underground mines, 2015 IEEE SENSORS Proceedings, 1-4 November 2015, Seoul, Korea, pp. 1-4. ISBN 978-147998202-8 (2015) [Refereed Conference Paper] 
Shahriar, MS and Rahman, MS, Context sensing and feature discovery for improving classifications, Proceedings of the 1st ACM Workshop on Context Sensing and Activity Recognition 2015, 1 November 2015, Seoul, Korea, pp. 37-40. ISBN 978-145033842-4 (2015) [Non Refereed Conference Paper]
Shahriar, MS and Rahman, MS, Urban sensing and smart home energy optimisations: a machine learning approach, Proceedings of the 2015 International Workshop on Internet of Things Towards Applications, 1 November 2015, Seoul, Korea, pp. 19-22. ISBN 978-145033838-7 (2015) [Refereed Conference Paper]
Shahriar, MS and Kamruzzaman, M and Beecham, S, Multiple resolution river flow time series modelling using machine learning methods, Proceedings of the Machine Learning for Sensory Data Analysis 2014, 2 December 2014, Gold Coast, QLD, pp. 62-66. ISBN 978-1-4503-3159-3 (2014) [Refereed Conference Paper]
Shahriar, S and Rahman, A and Smith, D, Applying context in appliance load identification, Proceedings, ICNC 2013, 23-25 July 2013, Shenyang, China, pp. 900-905. ISBN 978-1-4673-4714-3 (2013) [Non Refereed Conference Paper]
Shahriar, S and Rahman, A, Energy disaggregation using ensemble of classifiers, Proceedings, 17-19 April 2013, Sydney, Australia, pp. 161-164. ISBN 978-1-4673-6349-5 (2013) [Conference Extract]
O'Mara, A and Shahriar, S, Fuzzy clustering-based prediction of marine sensor data, Proceedings: 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery, 23-25 July 2013, Shenyang, China, pp. 364-368. ISBN 978-1-4673-5253-6 (2013) [Refereed Conference Paper] 
Shahriar, S and Rahman, A, Spatial-temporal prediction of algal bloom, Proceedings, ICNC 2013, 23-25 July 2013, Shenyang, China, pp. 973-977. ISBN 978-1-4673-4714-3 (2013) [Non Refereed Conference Paper]
Shahriar, S and D'Este, CE and Rahman, A, On detecting and predicting harmful algal blooms in coastal information systems, OCEANS, 2012 - YEOSU, 21-24 May 2012, Yeosu, Korea, pp. 1564-1567. ISBN 978-1-4577-2089-5 (2012) [Non Refereed Conference Paper]

This list was generated on Mon Nov 20 17:08:34 2017.