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ORCIDMohammad Masum
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2020 – today
- 2024
[j1]Megha Gupta, Venkatasai Dheekonda, Mohammad Masum:
Genie: Enhancing information management in the restaurant industry through AI-powered chatbot. Int. J. Inf. Manag. Data Insights 4(2): 100255 (2024)- [c28]Megha Gupta, Shripal Shah, Mohammad Masum, Sai Chandra Kosaraju:
CMI: Cluster-Centric Missing Value Imputation with Feature Consistency. CCWC 2024: 521-526 - [c27]Priyanka Bhyregowda, Mohammad Masum, Lohuwa Mamudu, Mohammed Chowdhurv, Sai Chandra Kosaraiu, Hossain Shahriar:
ActivePCA: A Novel Framework Integrating PCA and Active Machine Learning for Efficient Dimension Reduction. COMPSAC 2024: 320-325 - [c26]Md. Abdur Rahman
, Mst. Shapna Akter, Emily Miller, Bogdan Timofti, Hossain Shahriar, Mohammad Masum, Fan Wu:
Fine-Tuned Variational Quantum Classifiers for Cyber Attacks Detection Based on Parameterized Quantum Circuits and Optimizers. COMPSAC 2024: 1067-1072 - [c25]Sainath Veerla, Anbu Valluvan Devadasan, Mohammad Masum, Mohammed Chowdhury, Hossain Shahriar:
E-SMOTE: Entropy Based Minority Oversampling for Heart Failure and AIDS Clinical Trails Analysis. COMPSAC 2024: 1841-1846 - [i8]Gaurav Shinde, Rohan Mohapatra, Pooja Krishan, Harish Garg, Srikanth Prabhu, Sanchari Das, Mohammad Masum, Saptarshi Sengupta:
The State of Lithium-Ion Battery Health Prognostics in the CPS Era. CoRR abs/2403.19816 (2024) - [i7]Agnik Saha, Mohammad Shahidul Kader, Mohammad Masum:
Unveiling User Engagement Patterns on Stack Exchange Through Network Analysis. CoRR abs/2409.08944 (2024) - 2023
- [i6]Mst. Shapna Akter, Md. Jobair Hossain Faruk, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Akond Rahman, Fan Wu, Alfredo Cuzzocrea:
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. CoRR abs/2306.08060 (2023) - 2022
- [c24]Mohammad Masum, Nafisa Anjum, Md. Jobair Hossain Faruk, Hossain Shahriar, Nazmus Sakib, Maria Valero, Mohammed Karim, Akond Rahman, Fan Wu, Alfredo Cuzzocrea:
A Novel Machine Learning Based Framework for Bridge Condition Analysis. IEEE Big Data 2022: 5530-5535 - [c23]Mst. Shapna Akter, Md. Jobair Hossain Faruk, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Akond Rahman, Fan Wu, Alfredo Cuzzocrea:
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. IEEE Big Data 2022: 5639-5645 - [c22]Mohammad Masum, Md. Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan Lo, Muhaiminul Islam Adnan:
Ransomware Classification and Detection With Machine Learning Algorithms. CCWC 2022: 316-322 - [c21]Md. Jobair Hossain Faruk, Mohammad Masum, Hossain Shahriar, Kai Qian, Dan Lo:
Authentic Learning of Machine Learning to Ransomware Detection and Prevention. COMPSAC 2022: 442-443 - [c20]Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Maria Valero, Kai Qian, Dan Lo, Fan Wu, Mohammed Karim, Parth Bhavsar, Jidong Yang:
Scalable Machine Learning Using PySpark. COMPSAC 2022: 454-455 - [c19]Paramita Basak Upama, Md. Jobair Hossain Faruk, Mohammad Nazim, Mohammad Masum, Hossain Shahriar, Gias Uddin, Shabir Barzanjeh, Sheikh Iqbal Ahamed, Akond Rahman:
Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools. COMPSAC 2022: 520-529 - [c18]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:
Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go? COMPSAC 2022: 530-538 - [c17]Mohammad Taneem Bin Nazim, Md. Jobair Hossain Faruk, Hossain Shahriar, Md Abdullah Khan, Mohammad Masum, Nazmus Sakib, Fan Wu:
Systematic Analysis of Deep Learning Model for Vulnerable Code Detection. COMPSAC 2022: 1768-1773 - [c16]Md. Jobair Hossain Faruk, Shashank Trivedi, Mohammad Masum, Maria Valero, Hossain Shahriar, Sheikh Iqbal Ahamed:
A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques. ICHI 2022: 412-421 - [i5]Paramita Basak Upama, Md. Jobair Hossain Faruk, Mohammad Nazim, Mohammad Masum, Hossain Shahriar, Gias Uddin, Shabir Barzanjeh, Sheikh Iqbal Ahamed, Akond Rahman:
Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools. CoRR abs/2204.01856 (2022) - [i4]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:
Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go? CoRR abs/2204.02784 (2022) - [i3]Mohammad Masum, Md. Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan C. Lo, Muhaiminul Islam Adnan:
Ransomware Classification and Detection With Machine Learning Algorithms. CoRR abs/2207.00894 (2022) - [i2]Md. Jobair Hossain Faruk, Shashank Trivedi, Mohammad Masum, Maria Valero, Hossain Shahriar, Sheikh Iqbal Ahamed:
A Novel IoT-based Framework for Non-Invasive Human Hygiene Monitoring using Machine Learning Techniques. CoRR abs/2207.03529 (2022) - [i1]Mohammad Masum, Hossain Shahriar, Hisham Haddad, Md. Jobair Hossain Faruk, Maria Valero, Md Abdullah Khan, Mohammad Ashiqur Rahman, Muhaiminul I. Adnan, Alfredo Cuzzocrea:
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection. CoRR abs/2207.09902 (2022) - 2021
- [c15]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:
Bayesian Hyperparameter Optimization for Deep Neural Network-Based Network Intrusion Detection. IEEE BigData 2021: 5413-5419 - [c14]Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, WenZhan Song:
A Statistical Summary Analysis of Window-Based Extracted Features for EEG Signal Classification. ICDH 2021: 293-298 - [c13]Md. Jobair Hossain Faruk, Paul Miner, Ryan Coughlan, Mohammad Masum, Hossain Shahriar, Victor Clincy, Coskun Cetinkaya:
Smart Connected Aircraft: Towards Security, Privacy, and Ethical Hacking. SIN 2021: 1-5 - 2020
- [c12]Zhoulin Li, Hao Zhang, Mohammad Masum, Hossain Shahriar, Hisham Haddad:
Cyber Fraud Prediction with Supervised Machine Learning Techniques. ACM Southeast Regional Conference 2020: 176-180 - [c11]Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, Md. Shafiul Alam:
r-LSTM: Time Series Forecasting for COVID-19 Confirmed Cases with LSTMbased Framework. IEEE BigData 2020: 1374-1379 - [c10]Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, Sheikh Iqbal Ahamed, Sweta Sneha, Mohammad Ashiqur Rahman, Alfredo Cuzzocrea:
Actionable Knowledge Extraction Framework for COVID-19. IEEE BigData 2020: 4036-4041 - [c9]Mohammad Masum, Hossain Shahriar, Hisham Haddad:
Analysis of Sampling Techniques Towards Epileptic Seizure Detection from Imbalanced Dataset. COMPSAC 2020: 684-692 - [c8]Mohammad Masum, Hossain Shahriar, Hisham M. Haddad:
Epileptic Seizure Detection for Imbalanced Datasets Using an Integrated Machine Learning Approach. EMBC 2020: 5416-5419 - [c7]Mohammad Masum, Hossain Shahriar:
TL-NID: Deep Neural Network with Transfer Learning for Network Intrusion Detection. ICITST 2020: 1-7 - [c6]Vara Vundavalli, Farhat Lamia Barsha, Mohammad Masum, Hossain Shahriar, Hisham Haddad:
Malicious URL Detection Using Supervised Machine Learning Techniques. SIN 2020: 21:1-21:6
2010 – 2019
- 2019
- [c5]Nelson Zange Tsaku, Sai Chandra Kosaraju, Tasmia Aqila, Mohammad Masum, Dae Hyun Song, Ananda Mohan Mondal, Hyun Min Koh, Mingon Kang:
Texture-based Deep Learning for Effective Histopathological Cancer Image Classification. BIBM 2019: 973-977 - [c4]Mohammad Masum, Hossain Shahriar:
Droid-NNet: Deep Learning Neural Network for Android Malware Detection. IEEE BigData 2019: 5789-5793 - [c3]Sai Chandra Kosaraju, Mohammad Masum, Nelson Zange Tsaku, Pritesh Patel, Tanju Bayramoglu, Girish Modgil, Mingon Kang:
DoT-Net: Document Layout Classification Using Texture-Based CNN. ICDAR 2019: 1029-1034 - [c2]Jie Hao, Mohammad Masum, Jung Hun Oh, Mingon Kang:
Gene- and Pathway-Based Deep Neural Network for Multi-omics Data Integration to Predict Cancer Survival Outcomes. ISBRA 2019: 113-124 - 2018
- [c1]Mohammad Masum, Sai Kosaraju, Tanju Bayramoglu, Girish Modgil, Mingon Kang:
Automatic knowledge extraction from OCR documents using hierarchical document analysis. RACS 2018: 189-194
Coauthor Index
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