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Scopus Author ID: 57201774562

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Employment (2)

Staffordshire University: Stoke-on-Trent, GB

2020-06-23 to present | Senior Lecturer in AI, Robotics and Big Data Analytics
Employment
Source: Self-asserted source
Benhur Bakhtiari Bastaki

Staffordshire University: Stoke-on-Trent, Staffordshire, GB

2012-07-18 to 2030-06-23 | Lecturer in Applied Software Engineering (school of Computing and Digital Technology)
Employment
Source: Self-asserted source
Benhur Bakhtiari Bastaki

Education and qualifications (1)

Staffordshire University: Stoke-on-Trent, Staffordshire, GB

2012-08-27 to 2019-07-18 | PhD in computing Science - AI (School of Computing and Digital Technology)
Qualification
Source: Self-asserted source
Benhur Bakhtiari Bastaki

Works (11)

Towards a Practical Iot Forensic Process Through a Simulated Smart Home Environment

2024-01-12 | Preprint
DOI: 10.2139/ssrn.4699694
Contributors: Pantaleon Lutta; Mohamed Sedky; Mohamed Hassan; Benhur Bastaki; Ange Aly
Source: Self-asserted source
Benhur Bakhtiari Bastaki

Application of Artificial Intelligence in Ambient Assisted Living to Support Elderly People in Smart Homes

IoT Enabled Computer-Aided Systems for Smart Buildings
2023-04-22 | Book chapter
DOI: 10.1007/978-3-031-26685-0_7
Part of ISBN: 9783031266843
Part of ISBN: 9783031266850
Part of ISSN: 2522-8595
Part of ISSN: 2522-8609
Contributors: Benhur Bakhtiari Bastaki; Mohamed Sedky; Russell C. Campion; Anthony Atkins
Source: Self-asserted source
Benhur Bakhtiari Bastaki

SIMCD: SIMulated Crowd Data for Anomaly Detection and Prediction

Expert Systems with Applications
2022-04-28 | Journal article
DOI: 10.1016/j.eswa.2022.117475
Part of ISSN: 0957-4174
Source: Self-asserted source
Benhur Bakhtiari Bastaki

An Investigation into the Prevalence of Reflection Techniques in Distributed Microsoft .Net NuGet Artefacts

2022 11th International Conference on Software and Computer Applications
2022-02-24 | Conference paper
DOI: 10.1145/3524304.3524329
Source: Self-asserted source
Benhur Bakhtiari Bastaki

Reactive and Proactive Anomaly Detection in Crowd Management Using Hierarchical Temporal Memory

International Journal of Machine Learning and Computing
2021 | Journal article
Source: Self-asserted source
Benhur Bakhtiari Bastaki

The complexity of internet of things forensics: A state-of-the-art review

Forensic Science International: Digital Investigation
2021-05-29 | Journal article
DOI: 10.1016/j.fsidi.2021.301210
Part of ISSN: 2666-2817
Source: Self-asserted source
Benhur Bakhtiari Bastaki

A Method for Improving Unsupervised Intent Detection using Bi-LSTM CNN Cross Attention Mechanism

ICAAI 2020: 2020 The 4th International Conference on Advances in Artificial Intelligence
2020-10 | Conference paper
DOI: 10.1145/3441417.3441421
Source: Self-asserted source
Benhur Bakhtiari Bastaki

Anomaly Detection Using Hierarchical Temporal Memory (HTM) in Crowd Management

Proceedings of the 2020 4th International Conference on Cloud and Big Data Computing
2020-09 | Other
DOI: 10.1145/3416921.3416940
Contributors: Amna Bamaqa; Mohamed Sedky; Tomasz Bosakowski; Benhur Bakhtiari Bastaki
Source: Self-asserted source
Benhur Bakhtiari Bastaki via Crossref Metadata Search

HTM Based Anomaly Detecting Model for Traffic Congestion

Proceedings of the 2020 4th International Conference on Cloud and Big Data Computing
2020-08-26 | Conference paper
DOI: 10.1145/3416921.3416941
ISBN: 9781450375382
Source: Self-asserted source
Benhur Bakhtiari Bastaki

Application of Hierarchical Temporal Memory to Anomaly Detection of Vital Signs for Ambient Assisted Living

2019 | Dissertation or Thesis
Source: Self-asserted source
Benhur Bakhtiari Bastaki

Intelligent assisted living framework for monitoring elders

Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
2018 | Conference paper
DOI: 10.1109/AICCSA.2017.213
EID:

2-s2.0-85046099295
Contributors: Bastaki, B.B.; Bosakowski, T.; Benkhelifa, E.
Source: Self-asserted source
Benhur Bakhtiari Bastaki via Scopus - Elsevier
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