Mohammad Masum

Orcid: 0000-0001-9974-6950

According to our database1, Mohammad Masum authored at least 27 papers between 2018 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
CMI: Cluster-Centric Missing Value Imputation with Feature Consistency.
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms.
CoRR, 2023

2022
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection.
CoRR, 2022

A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques.
Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Systematic Analysis of Deep Learning Model for Vulnerable Code Detection.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Scalable Machine Learning Using PySpark.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Authentic Learning of Machine Learning to Ransomware Detection and Prevention.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Ransomware Classification and Detection With Machine Learning Algorithms.
Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

A Novel Machine Learning Based Framework for Bridge Condition Analysis.
Proceedings of the IEEE International Conference on Big Data, 2022

Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Smart Connected Aircraft: Towards Security, Privacy, and Ethical Hacking.
Proceedings of the 14th International Conference on Security of Information and Networks, 2021

A Statistical Summary Analysis of Window-Based Extracted Features for EEG Signal Classification.
Proceedings of the IEEE International Conference on Digital Health, 2021

Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Malicious URL Detection Using Supervised Machine Learning Techniques.
Proceedings of the SIN 2020: 13th International Conference on Security of Information and Networks, 2020

TL-NID: Deep Neural Network with Transfer Learning for Network Intrusion Detection.
Proceedings of the 15th International Conference for Internet Technology and Secured Transactions, 2020

Epileptic Seizure Detection for Imbalanced Datasets Using an Integrated Machine Learning Approach.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Analysis of Sampling Techniques Towards Epileptic Seizure Detection from Imbalanced Dataset.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Actionable Knowledge Extraction Framework for COVID-19.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

r-LSTM: Time Series Forecasting for COVID-19 Confirmed Cases with LSTMbased Framework.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Cyber Fraud Prediction with Supervised Machine Learning Techniques.
Proceedings of the 2020 ACM Southeast Conference, 2020

2019
Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes.
Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019

DoT-Net: Document Layout Classification Using Texture-Based CNN.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Droid-NNet: Deep Learning Neural Network for Android Malware Detection.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Texture-based Deep Learning for Effective Histopathological Cancer Image Classification.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Automatic knowledge extraction from OCR documents using hierarchical document analysis.
Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018


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