Qublai Khan Ali Mirza

Orcid: 0000-0003-3403-2935

According to our database1, Qublai Khan Ali Mirza authored at least 14 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

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
From Mushroom-Peaches to Disease Prediction: Deep Learning Approaches.
Proceedings of the 9th International Conference on Future Internet of Things and Cloud, 2022

2021
Modern Stylometry: A Review & Experimentation with Machine Learning.
Proceedings of the 8th International Conference on Future Internet of Things and Cloud, 2021

Ransomware Analysis using Cyber Kill Chain.
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
Taxonomy-Based Intelligent Malware Detection Framework.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
CloudIntell: An intelligent malware detection system.
Future Gener. Comput. Syst., 2018

A Cloud-Based Energy Efficient Hosting Model for Malware Detection Framework.
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

Cyber-Attack Modeling Analysis Techniques: An Overview.
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


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