Browse by Staffordshire University Author

Beaumont, Andrew and BAKHTIARI BASTAKI, Benhur (2022) An Investigation into the Prevalence of Reflection Techniques in Distributed Microsoft .Net NuGet Artefacts. In: ICSCA 2022: 2022 11th International Conference on Software and Computer Applications. Association for Computing Machinery, New York, NY, United States, pp. 173-178. ISBN 9781450385770

SEDKY, Mohamed, Bamaqa, Amna, BOSAKOWSKI, Tomasz, Bastaki, benhur and Alshammari, Nasser (2022) SIMCD: SIMulated crowd data for anomaly detection and prediction. Expert Systems with Applications. ISSN 0957-4174

Bamaqa, Amna, Sedky, Mohamed and Bastaki, Benhur (2022) Reactive and Proactive Anomaly Detection in Crowd Management Using Hierarchical Temporal Memory. International Journal of Machine Learning and Computing (IJMLC), 12 (1). pp. 7-16. ISSN 2010-3700

Pantaleon, Lutta, SEDKY, Mohamed, HASSAN, Mohamed, Uchitha, Jayawickrama and Bastaki, Benhur (2021) The Complexity of Internet of Things Forensics: A State-of-the-Art Review. Forensic Science International: Digital Investigation, 38 (Sept). ISSN 2666-2817

Sadeghi, Hamid reza, SHIRY GHIDARY, Saeed and BAKHTIARI BASTAKI, Benhur (2021) A Method for Improving Unsupervised Intent Detection using Bi-LSTM CNN Cross Attention Mechanism. In: ICAAI 2020 Conference Proceedings. Association for Computing Machinery New York,NY, United States, USA, pp. 41-46. ISBN 978-1-4503-8784-2

Bastaki, Benhur Bakhtiari (2019) Application of Hierarchical Temporal Memory to Anomaly Detection of Vital Signs for Ambient Assisted Living. Doctoral thesis, Staffordshire University.