Md. Khairul Islam

According to our database, Md. Khairul Islam authored at least 29 papers between 2018 and 2024.

Collaborative distances:

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

2024

Enhancing lung abnormalities diagnosis using hybrid DCNN-ViT-GRU model with explainable AI: A deep learning approach.

Md. Khairul Islam, Md Mahbubur Rahman, Md Shahin Ali, S. M. Mahim, Md. Sipon Miah

Image Vis. Comput., 2024

Does Differential Privacy Impact Bias in Pretrained Language Models?

Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao

IEEE Data Eng. Bull., 2024

Large Language Models for Financial Aid in Financial Time-series Forecasting.

Md. Khairul Islam, Ayush Karmacharya, Timothy Joowon Sue, Judy Fox

CoRR, 2024

Does Differential Privacy Impact Bias in Pretrained NLP Models?

Md. Khairul Islam, Andrew Wang, Tianhao Wang, Yangfeng Ji, Judy Fox, Jieyu Zhao

CoRR, 2024

Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions - A Systematic Review.

Md Shahin Ali, Md. Manjurul Ahsan, Lamia Tasnim, Sadia Afrin, Koushik Biswas, Md Maruf Hossain, Md Mahfuz Ahmed, Ronok Hashan, Md. Khairul Islam, Shivakumar Raman

CoRR, 2024

Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections.

Md. Khairul Islam, Tyler Valentine, Timothy Joowon Sue, Ayush Karmacharya, Luke Neil Benham, Zhengguang Wang, Kingsley Kim, Judy Fox

CoRR, 2024

TransMixer-AF: Advanced Real-Time Detection of Atrial Fibrillation Utilizing Single-Lead Electrocardiogram Signals.

S. M. Mahim, Md Emamul Hossen, Shakib Al Hasan, Md. Khairul Islam, Zafar Iqbal, Mohammad Alibakhshikenari, Mario Collotta, Md. Sipon Miah

IEEE Access, 2024

Unlocking the Potential of XAI for Improved Alzheimer's Disease Detection and Classification Using a ViT-GRU Model.

S. M. Mahim, Md Shahin Ali, Md. Olid Hasan, Abdullah Al Nomaan Nafi, Arefin Sadat, Shakib Al Hasan, Bryar Shareef, Md. Manjurul Ahsan, Md. Khairul Islam, Md. Sipon Miah, Mingbo Niu

IEEE Access, 2024

Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models.

Md. Khairul Islam

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep transfer learning approaches for Monkeypox disease diagnosis.

Md. Manjurul Ahsan, Muhammad Ramiz Uddin, Md Shahin Ali, Md. Khairul Islam, Mithila Farjana, Ahmed Nazmus Sakib, Khondhaker Al Momin, Shahana Akter Luna

Expert Syst. Appl., April, 2023

Population Age Group Sensitivity for COVID-19 Infections with Deep Learning.

Md. Khairul Islam, Tyler Valentine, Royal Wang, Levi Davis, Matt Manner, Judy Fox

CoRR, 2023

MVAM: Multi-variant Attacks on Memory for IoT Trust Computing.

Arup Kumar Sarker, Md. Khairul Islam, Yuan Tian

CoRR, 2023

Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series Models.

Md. Khairul Islam, Yingzheng Liu, Andrej Erkelens, Nick Daniello, Aparna Marathe, Judy Fox

Proceedings of the IEEE International Conference on Digital Health, 2023

MVAM: Multi-variant Attacks on Memory for IoT Trust Computing.

Arup Kumar Sarker, Md. Khairul Islam, Yuan Tian, Geoffrey C. Fox

Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI Images.

Sultana Umme Habiba, Tanoy Debnath, Md. Khairul Islam, Lutfun Nahar, Mohammad Shahadat Hossain, Nanziba Basnin, Karl Andersson

Proceedings of the Brain Informatics - 16th International Conference, 2023

2022

Early prediction for merged vs abandoned code changes in modern code reviews.

Md. Khairul Islam, Toufique Ahmed, Rifat Shahriyar, Anindya Iqbal, Gias Uddin

Inf. Softw. Technol., 2022

Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights.

Md. Manjurul Ahsan, Tareque Abu Abdullah, Md Shahin Ali, Fatematuj Jahora, Md. Khairul Islam, Amin G. Alhashim, Kishor Datta Gupta

CoRR, 2022

Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models.

Md. Khairul Islam, Di Zhu, Yingzheng Liu, Andrej Erkelens, Nick Daniello, Judy Fox

CoRR, 2022

Brain-DeepNet: A Deep Learning Based Classifier for Brain Tumor Detection and Classification.

Sultana Umme Habiba, Md. Khairul Islam, Lutfun Nahar, Farzana Tasnim, Mohammad Shahadat Hossain, Karl Andersson

ICO, 2022

Machine Learning Prediction of Consumer Travel Insurance Purchase Behavior.

Maksuda Akter Rubi, Md. Hasan Imam Bijoy, Shanjida Chowdhury, Md. Khairul Islam

Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

Early Exposing Cardiovascular Disease Identification Using Machine Learning Approach.

Md. Khairul Islam, Syeda Jannatul Boshra, Mahfuzur Rahman, Md. Nabir Hossain, Abdus Sattar

Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

Wheat Production Forecasting in Bangladesh Using Deep Learning Techniques.

Kohinoor Haque, Md. Khairul Islam, Abdus Sattar

Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

People Thoughts Prediction Using Machine Learning on Online Shopping in Bangladesh During COVID-19 Pandemic.

Sharmin Akter, Md. Khairul Islam, Md. Nabir Hossain, Mahfuzur Rahman, Syeda Jannatul Boshra

Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021

Sentiment Analysis of Microblogging dataset on Coronavirus Pandemic.

Nosin Ibna Mahbub, Md. Rakibul Islam, Md. Al Amin, Md. Khairul Islam, Bikash Chandra Singh, Md. Imran Hossain Showrov, Anirudda Sarkar

CoRR, 2021

2020

Enhanced Sensing and Sum-Rate Analysis in a Cognitive Radio-Based Internet of Things.

Md. Sipon Miah, Kazi Mowdud Ahmed, Md. Khairul Islam, Md. Ashek Raihan Mahmud, Md. Mahbubur Rahman, Heejung Yu

Sensors, 2020

Network Anomaly Detection Using LightGBM: A Gradient Boosting Classifier.

Md. Khairul Islam, Prithula Hridi, Md. Shohrab Hossain, Husnu S. Narman

Proceedings of the 30th International Telecommunication Networks and Applications Conference, 2020

2019

Accepted or Abandoned? Predicting the Fate of Code Changes.

Md. Khairul Islam, Toufique Ahmed, Fahim Ahmed, Anindya Iqbal

CoRR, 2019

Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm.

Md. Shahariar Alam, Md. Mahbubur Rahman, Mohammad Amazad Hossain, Md. Khairul Islam, Kazi Mowdud Ahmed, Khandaker Takdir Ahmed, Bikash Chandra Singh, Md. Sipon Miah

Big Data Cogn. Comput., 2019

2018

Unscented Kalman Filter Based on Spectrum Sensing in a Cognitive Radio Network Using an Adaptive Fuzzy System.

Md. Ruhul Amin, Md. Mahbubur Rahman, Mohammad Amazad Hossain, Md. Khairul Islam, Kazi Mowdud Ahmed, Bikash Chandra Singh, Md. Sipon Miah

Big Data Cogn. Comput., 2018