Mohammad Masum

According to our database, Mohammad Masum authored at least 33 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Genie: Enhancing information management in the restaurant industry through AI-powered chatbot.

Megha Gupta, Venkatasai Dheekonda, Mohammad Masum

Int. J. Inf. Manag. Data Insights, 2024

Unveiling User Engagement Patterns on Stack Exchange Through Network Analysis.

Agnik Saha, Mohammad Shahidul Kader, Mohammad Masum

CoRR, 2024

The State of Lithium-Ion Battery Health Prognostics in the CPS Era.

Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Harish Garg, Srikanth Prabhu, Sanchari Das, Mohammad Masum, Saptarshi Sengupta

CoRR, 2024

E-SMOTE: Entropy Based Minority Oversampling for Heart Failure and AIDS Clinical Trails Analysis.

Sainath Veerla, Anbu Valluvan Devadasan, Mohammad Masum, Mohammed Chowdhury, Hossain Shahriar

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Fine-Tuned Variational Quantum Classifiers for Cyber Attacks Detection Based on Parameterized Quantum Circuits and Optimizers.

Md. Abdur Rahman, Mst. Shapna Akter, Emily Miller, Bogdan Timofti, Hossain Shahriar, Mohammad Masum, Fan Wu

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

ActivePCA: A Novel Framework Integrating PCA and Active Machine Learning for Efficient Dimension Reduction.

Priyanka Bhyregowda, Mohammad Masum, Lohuwa Mamudu, Mohammed Chowdhurv, Sai Chandra Kosaraiu, Hossain Shahriar

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

CMI: Cluster-Centric Missing Value Imputation with Feature Consistency.

Megha Gupta, Shripal Shah, Mohammad Masum, Sai Chandra Kosaraju

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.

Mst. Shapna Akter, Md. Jobair Hossain Faruk, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Akond Rahman, Fan Wu, Alfredo Cuzzocrea

CoRR, 2023

2022

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

Mohammad Masum, Hossain Shahriar, Hisham Haddad, Md. Jobair Hossain Faruk, Maria Valero, Md Abdullah Khan, Mohammad Ashiqur Rahman, Muhaiminul I. Adnan, Alfredo Cuzzocrea

CoRR, 2022

A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques.

Md. Jobair Hossain Faruk, Shashank Trivedi, Mohammad Masum, Maria Valero, Hossain Shahriar, Sheikh Iqbal Ahamed

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.

Paramita Basak Upama, Md. Jobair Hossain Faruk, Mohammad Nazim, Mohammad Masum, Hossain Shahriar, Gias Uddin, Shabir Barzanjeh, Sheikh Iqbal Ahamed, Akond Rahman

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Systematic Analysis of Deep Learning Model for Vulnerable Code Detection.

Mohammad Taneem Bin Nazim, Md. Jobair Hossain Faruk, Hossain Shahriar, Md Abdullah Khan, Mohammad Masum, Nazmus Sakib, Fan Wu

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Scalable Machine Learning Using PySpark.

Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Maria Valero, Kai Qian, Dan Lo, Fan Wu, Mohammed Karim, Parth Bhavsar, Jidong Yang

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?

Mohammad Masum, Mohammad Nazim, Md. Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Md Abdullah Hafiz Khan, Gias Uddin, Shabir Barzanjeh, Erhan Saglamyurek, Akond Rahman, Sheikh Iqbal Ahamed

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Authentic Learning of Machine Learning to Ransomware Detection and Prevention.

Md. Jobair Hossain Faruk, Mohammad Masum, Hossain Shahriar, Kai Qian, Dan Lo

Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Ransomware Classification and Detection With Machine Learning Algorithms.

Mohammad Masum, Md. Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan Lo, Muhaiminul Islam Adnan

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

A Novel Machine Learning Based Framework for Bridge Condition Analysis.

Mohammad Masum, Nafisa Anjum, Md. Jobair Hossain Faruk, Hossain Shahriar, Nazmus Sakib, Maria Valero, Mohammed Karim, Akond Rahman, Fan Wu, Alfredo Cuzzocrea

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.

Mst. Shapna Akter, Md. Jobair Hossain Faruk, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Akond Rahman, Fan Wu, Alfredo Cuzzocrea

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Smart Connected Aircraft: Towards Security, Privacy, and Ethical Hacking.

Md. Jobair Hossain Faruk, Paul Miner, Ryan Coughlan, Mohammad Masum, Hossain Shahriar, Victor Clincy, Coskun Cetinkaya

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.

Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, WenZhan Song

Proceedings of the IEEE International Conference on Digital Health, 2021

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

Mohammad Masum, Hossain Shahriar, Hisham Haddad, Md. Jobair Hossain Faruk, Maria Valero, Md Abdullah Khan, Mohammad Ashiqur Rahman, Muhaiminul I. Adnan, Alfredo Cuzzocrea, Fan Wu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Malicious URL Detection Using Supervised Machine Learning Techniques.

Vara Vundavalli, Farhat Lamia Barsha, Mohammad Masum, Hossain Shahriar, Hisham Haddad

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.

Mohammad Masum, Hossain Shahriar

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.

Mohammad Masum, Hossain Shahriar, Hisham M. Haddad

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.

Mohammad Masum, Hossain Shahriar, Hisham Haddad

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

Actionable Knowledge Extraction Framework for COVID-19.

Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, Sheikh Iqbal Ahamed, Sweta Sneha, Mohammad Ashiqur Rahman, Alfredo Cuzzocrea

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.

Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, Md. Shafiul Alam

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Cyber Fraud Prediction with Supervised Machine Learning Techniques.

Zhoulin Li, Hao Zhang, Mohammad Masum, Hossain Shahriar, Hisham Haddad

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.

Jie Hao, Mohammad Masum, Jung Hun Oh, Mingon Kang

Proceedings of the Bioinformatics Research and Applications - 15th International Symposium, 2019

DoT-Net: Document Layout Classification Using Texture-Based CNN.

Sai Chandra Kosaraju, Mohammad Masum, Nelson Zange Tsaku, Pritesh Patel, Tanju Bayramoglu, Girish Modgil, Mingon Kang

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019

Droid-NNet: Deep Learning Neural Network for Android Malware Detection.

Mohammad Masum, Hossain Shahriar

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Texture-based Deep Learning for Effective Histopathological Cancer Image Classification.

Nelson Zange Tsaku, Sai Chandra Kosaraju, Tasmia Aqila, Mohammad Masum, Dae Hyun Song, Ananda Mohan Mondal, Hyun Min Koh, Mingon Kang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Automatic knowledge extraction from OCR documents using hierarchical document analysis.

Mohammad Masum, Sai Kosaraju, Tanju Bayramoglu, Girish Modgil, Mingon Kang

Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems, 2018