Qublai Khan Ali Mirza
Orcid: 0000-0003-3403-2935
According to our database1,
Qublai Khan Ali Mirza
authored at least 17 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
A Deep Learning based Scalable and Adaptive Feature Extraction Framework for Medical Images.
Inf. Syst. Frontiers, August, 2024
A Grid-Matrix Based on Industry Needs to Evaluate Automation in Security Operations Centre (SOC).
Proceedings of the 11th International Conference on Future Internet of Things and Cloud, 2024
The Practical Requirements of a Malware Training Platform Tailored to Industry and Education.
Proceedings of the 11th International Conference on Future Internet of Things and Cloud, 2024
2023
Enhancing Cryptocurrency Price Forecasting Accuracy: A Feature Selection and Weighting Approach With Bi-Directional LSTM and Trend-Preserving Model Bias Correction.
IEEE Access, 2023
A Novel and Adaptive Evaluation Mechanism for Deep Learning Models in Medical Imaging and Disease Recognition.
Proceedings of the 10th International Conference on Future Internet of Things and Cloud, 2023
2022
Proceedings of the 9th International Conference on Future Internet of Things and Cloud, 2022
2021
Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021
Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021
2020
Live Anomaly Detection based on Machine Learning Techniques SAD-F: Spark Based Anomaly Detection Framework.
CoRR, 2020
An Intelligent and Time-Efficient DDoS Identification Framework for Real-Time Enterprise Networks: SAD-F: Spark Based Anomaly Detection Framework.
IEEE Access, 2020
2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Future Gener. Comput. Syst., 2018
Proceedings of the IEEE Global Communications Conference, 2018
2017
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.
PhD thesis, 2017
2016
Detection of Malicious Portable Executables Using Evidence Combinational Theory with Fuzzy Hashing.
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud, 2016
Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud Workshops, 2016
A Cloud-Based Energy Efficient System for Enhancing the Detection and Prevention of Modern Malware.
Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications, 2016