Shahadate Rezvy

Orcid: 0000-0002-2684-7117

According to our database1, Shahadate Rezvy authored at least 11 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
An Explainable AI-Based Intrusion Detection System for DNS Over HTTPS (DoH) Attacks.
IEEE Trans. Inf. Forensics Secur., 2022

2021
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal., 2021

COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization.
Appl. Intell., 2021

2020
A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR, 2020

Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020

2019
An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

A deep learning approach for length of stay prediction in clinical settings from medical records.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

2018
Intrusion Detection and Classification with Autoencoded Deep Neural Network.
Proceedings of the Innovative Security Solutions for Information Technology and Communications, 2018

2014
System capacity improvement by on request channel allocation in LTE cellular network.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

Instant Channel Allocation Technique to Improve System Throughput in Joint LTE Cellular Network.
Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014

2013
On demand-based frequency allocation to mitigate interference in Femto-Macro LTE cellular network.
Proceedings of the Second International Conference on Future Generation Communication Technologies (FGCT 2013), 2013


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