Mohammad Masum

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 33

Top Topics

Document Layout

Machine Learning

Top Venues

Publications

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 (2024)
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) (2024)
Megha Gupta, Shripal Shah, Mohammad Masum, Sai Chandra Kosaraju
CMI: Cluster-Centric Missing Value Imputation with Feature Consistency. CCWC (2024)
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 (2023)
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)
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)
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)
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 (2022)
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)
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 (2022)
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 (2022)
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. Big Data (2022)
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. Big Data (2022)
Md Jobair Hossain Faruk, Mohammad Masum, Hossain Shahriar, Kai Qian, Dan Lo
Authentic Learning of Machine Learning to Ransomware Detection and Prevention. COMPSAC (2022)
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 (2022)
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)
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)
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 (2022)
Mohammad Masum, Hossain Shahriar, Hisham M. Haddad, WenZhan Song
A Statistical Summary Analysis of Window-Based Extracted Features for EEG Signal Classification. ICDH (2021)
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)
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)
Mohammad Masum, Hossain Shahriar, Hisham M. Haddad
Epileptic Seizure Detection for Imbalanced Datasets Using an Integrated Machine Learning Approach. EMBC (2020)
Vara Vundavalli, Farhat Barsha, Mohammad Masum, Hossain Shahriar, Hisham Haddad
Malicious URL Detection Using Supervised Machine Learning Techniques. SIN (2020)
Mohammad Masum, Hossain Shahriar, Hisham Haddad
Analysis of Sampling Techniques Towards Epileptic Seizure Detection from Imbalanced Dataset. COMPSAC (2020)
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)
Zhoulin Li, Hao Zhang, Mohammad Masum, Hossain Shahriar, Hisham Haddad
Cyber Fraud Prediction with Supervised Machine Learning Techniques. ACM Southeast Regional Conference (2020)
Mohammad Masum, Hossain Shahriar
TL-NID: Deep Neural Network with Transfer Learning for Network Intrusion Detection. ICITST (2020)
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)
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)
Mohammad Masum, Hossain Shahriar
Droid-NNet: Deep Learning Neural Network for Android Malware Detection. IEEE BigData (2019)
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)
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)
Mohammad Masum, Sai Kosaraju, Tanju Bayramoglu, Girish Modgil, Mingon Kang
Automatic knowledge extraction from OCR documents using hierarchical document analysis. RACS (2018)