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Qublai Khan Ali Mirza
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2020 – today
- 2024
- [j4]Zainab Loukil, Qublai Khan Ali Mirza
, Will Sayers
A Deep Learning based Scalable and Adaptive Feature Extraction Framework for Medical Images. Inf. Syst. Frontiers 26(4): 1279-1305 (2024) - 2023
- [j3]Muhammad Rafi
Enhancing Cryptocurrency Price Forecasting Accuracy: A Feature Selection and Weighting Approach With Bi-Directional LSTM and Trend-Preserving Model Bias Correction. IEEE Access 11: 65700-65710 (2023) - [c9]Zainab Loukil, Qublai Khan Ali Mirza, Will Sayers:
A Novel and Adaptive Evaluation Mechanism for Deep Learning Models in Medical Imaging and Disease Recognition. FiCloud 2023: 270-277 - 2022
- [c8]Zainab Loukil, Qublai Khan Ali Mirza
From Mushroom-Peaches to Disease Prediction: Deep Learning Approaches. FiCloud 2022: 119-128 - 2021
- [c7]Qublai Khan Ali Mirza
Ransomware Analysis using Cyber Kill Chain. FiCloud 2021: 58-65 - [c6]Connagh Muldoon, Ahsan Ikram, Qublai Khan Ali Mirza
Modern Stylometry: A Review & Experimentation with Machine Learning. FiCloud 2021: 293-298 - 2020
- [j2]Awais Ahmed
An Intelligent and Time-Efficient DDoS Identification Framework for Real-Time Enterprise Networks: SAD-F: Spark Based Anomaly Detection Framework. IEEE Access 8: 219483-219502 (2020) - [i1]Awais Ahmed, Sufian Hameed, Muhammad Rafi, Qublai Khan Ali Mirza:
Live Anomaly Detection based on Machine Learning Techniques SAD-F: Spark Based Anomaly Detection Framework. CoRR abs/2001.08155 (2020)
2010 – 2019
- 2019
- [c5]Qublai Khan Ali Mirza, Fatima Hussain, Irfan Awan, Muhammad Younas, Salah Sharieh:
Taxonomy-Based Intelligent Malware Detection Framework. GLOBECOM 2019: 1-6 - 2018
- [j1]Qublai Khan Ali Mirza
CloudIntell: An intelligent malware detection system. Future Gener. Comput. Syst. 86: 1042-1053 (2018) - [c4]Qublai Khan Ali Mirza, Irfan Awan, Muhammad Younas:
A Cloud-Based Energy Efficient Hosting Model for Malware Detection Framework. GLOBECOM 2018: 1-6 - 2017
- [b1]Qublai Khan Ali Mirza:
A cloud-based intelligent and energy efficient malware detection framework: a framework for cloud-based, energy efficient, and reliable malware detection in real-time based on training SVM, decision tree, and boosting using specified heuristics anomalies of portable executable files. University of Bradford, UK, 2017 - 2016
- [c3]Qublai Khan Ali Mirza
A Cloud-Based Energy Efficient System for Enhancing the Detection and Prevention of Modern Malware. AINA 2016: 754-761 - [c2]Hamad Al-Mohannadi, Qublai Khan Ali Mirza
Cyber-Attack Modeling Analysis Techniques: An Overview. FiCloud Workshops 2016: 69-76 - [c1]Anitta Patience Namanya, Qublai Khan Ali Mirza
Detection of Malicious Portable Executables Using Evidence Combinational Theory with Fuzzy Hashing. FiCloud 2016: 91-98
Coauthor Index
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