Items where Author is "Rezvy, Shahadate"

Article

Zebin, Tahmina, Rezvy, Shahadate and Luo, Yuan (2022) An Explainable AI-Based Intrusion Detection System for DNS Over HTTPS (DoH) Attacks. IEEE Transactions on Information Forensics and Security, 17. pp. 2339-2349.

Zebin, Tahmina and Rezvy, Shahadate (2020) COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. Applied Intelligence, 51. pp. 1010-1021.

Book Section

Zebin, Tahmina, Rezvy, Shahadate and Chaussalet, Thierry J. (2019) A deep learning approach for length of stay prediction in clinical settings from medical records. In: 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). IEEE, pp. 1-5.

Rezvy, Shahadate, Petridis, Miltos, Lasebae, Aboubaker and Zebin, Tahmina (2019) Intrusion Detection and Classification with Autoencoded Deep Neural Network. In: Innovative Security Solutions for Information Technology and Communications. Lecture Notes in Computer Science, 11359 . Springer, pp. 142-156.

Rezvy, Shahadate, Luo, Yuan, Petridis, Miltos, Lasebae, Aboubaker and Zebin, Tahmina (2019) An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. In: 2019 53rd Annual Conference on Information Sciences and Systems, CISS. Institute of Electrical and Electronics Engineers.

Rezvy, Shahadate, Rahman, Shahedur, Lasebae, Aboubaker and Loo, Jonathan (2014) System capacity improvement by on request channel allocation in LTE cellular network. In: 2014 48th Annual Conference on Information Sciences and Systems (CISS). IEEE, pp. 1-5.

Conference or Workshop Item

Mohammed, Roshan and Rezvy, Shahadate (2024) Transparent Ransomware Detection in Bitcoin Transactions: Leveraging Machine Learning and Explainable AI. In: 2024 7th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI), 20-22 December 2024, Guangzhou, China.

Rezvy, Shahadate, Siddiqui, Shah and Alexander, Gegov (2024) Automated 3D kidney blood vessel segmentation using deep learning techniques. In: BNU Research and Enterprise Conference: Empowerment through Research: Bridging Academia and Society, 3rd July 2024, Buckinghamshire New University.

Rezvy, Shahadate, Zebin, Tahmina, Braden, Barbara, Pang, Wei, Taylor, Stephen and Gao, Xiaohong W. (2020) Transfer learning for Endoscopy disease detection and segmentation with mask-RCNN benchmark architecture. In: 2nd International Workshop and Challenge on Computer Vision in Endoscopy 2020.

Rezvy, Shahadate, Rahman, Shahedur, Lasebae, Aboubaker and Loo, Jonathan (2014) Instant channel allocation technique to improve system throughput in joint LTE cellular network. In: 2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA).

Rezvy, Shahadate, Rahman, Shahedur, Lasebae, Aboubaker and Loo, Jonathan (2014) On demand-based frequency allocation to mitigate interference in Femto-Macro LTE cellular network. In: Second International Conference on Future Generation Communication Technologies (FGCT 2013).

Other

Tahmina, Zebin, Rezvy, Shahadate and Yuan, Luo (2022) An Explainable AI-based Intrusion Detection System for DNS over HTTPS (DoH) Attacks. UNSPECIFIED. (Unpublished)