On demand-based frequency allocation to mitigate interference in Femto-Macro LTE cellular network. - Shahadate Rezvy; Shahedur Rahman; Aboubaker Lasebae; Jonathan Loo (FGCT, 2013)

Instant Channel Allocation Technique to Improve System Throughput in Joint LTE Cellular Network. - Shahadate Rezvy; Shahedur Rahman; Aboubaker Lasebae; Jonathan Loo (AINA Workshops, 2014)

System capacity improvement by on request channel allocation in LTE cellular network. - Shahadate Rezvy; Shahedur Rahman; Aboubaker Lasebae; Jonathan Loo (CISS, 2014)

Intrusion Detection and Classification with Autoencoded Deep Neural Network. - Shahadate Rezvy; Miltos Petridis; Aboubaker Lasebae; Tahmina Zebin (SecITC, 2018)

A deep learning approach for length of stay prediction in clinical settings from medical records. - Tahmina Zebin; Shahadate Rezvy; Thierry J. Chaussalet (CIBCB, 2019)

An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. - Shahadate Rezvy; Yuan Luo; Miltos Petridis; Aboubaker Lasebae; Tahmina Zebin (CISS, 2019)

Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture. - Shahadate Rezvy; Tahmina Zebin; Barbara Braden; Wei Pang 001; Stephen Taylor; Xiaohong W. Gao (EndoCV@ISBI, 2020)

A translational pathway of deep learning methods in GastroIntestinal Endoscopy. - Sharib Ali; Mariia Dmitrieva; Noha M. Ghatwary; Sophia Bano; Gorkem Polat; Alptekin Temizel; Adrian Krenzer; Amar Hekalo; Yun Bo Guo; Bogdan J. Matuszewski; Mourad Gridach; Irina Voiculescu; et al. (CoRR, 2020)

COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. - Tahmina Zebin; Shahadate Rezvy (Appl. Intell., 2021)

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. - Sharib Ali; Mariia Dmitrieva; Noha M. Ghatwary; Sophia Bano; Gorkem Polat; Alptekin Temizel; Adrian Krenzer; Amar Hekalo; Yun Bo Guo; Bogdan J. Matuszewski; Mourad Gridach; Irina Voiculescu; et al. (Medical Image Anal., 2021)

An Explainable AI-Based Intrusion Detection System for DNS Over HTTPS (DoH) Attacks. - Tahmina Zebin; Shahadate Rezvy; Yuan Luo (IEEE Trans. Inf. Forensics Secur., 2022)

Transparent Ransomware Detection in Bitcoin Transactions: Leveraging Machine Learning and Explainable AI. - Roshan Mohammed; Shahadate Rezvy (ACAI, 2024)

A machine learning approach for detecting cybersecurity vulnerabilities in the internet of medical things. - Ukamaka Oragwu; Benjamin Aziz; Shahadate Rezvy (Knowl. Based Syst., 2025)