Md. Khairul Islam

Orcid: 0000-0003-2894-8584

According to our database1, Md. Khairul Islam authored at least 23 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections.
CoRR, 2024

Unlocking the Potential of XAI for Improved Alzheimer's Disease Detection and Classification Using a ViT-GRU Model.
IEEE Access, 2024

Temporal Dependencies and Spatio-Temporal Patterns of Time Series Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Deep transfer learning approaches for Monkeypox disease diagnosis.
Expert Syst. Appl., April, 2023

Population Age Group Sensitivity for COVID-19 Infections with Deep Learning.
CoRR, 2023

MVAM: Multi-variant Attacks on Memory for IoT Trust Computing.
CoRR, 2023

Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series Models.
Proceedings of the IEEE International Conference on Digital Health, 2023

MVAM: Multi-variant Attacks on Memory for IoT Trust Computing.
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.
Proceedings of the Brain Informatics - 16th International Conference, 2023

2022
Early prediction for merged vs abandoned code changes in modern code reviews.
Inf. Softw. Technol., 2022

Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights.
CoRR, 2022

Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models.
CoRR, 2022

Brain-DeepNet: A Deep Learning Based Classifier for Brain Tumor Detection and Classification.
ICO, 2022

Machine Learning Prediction of Consumer Travel Insurance Purchase Behavior.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

Early Exposing Cardiovascular Disease Identification Using Machine Learning Approach.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

Wheat Production Forecasting in Bangladesh Using Deep Learning Techniques.
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.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021
Sentiment Analysis of Microblogging dataset on Coronavirus Pandemic.
CoRR, 2021

2020
Enhanced Sensing and Sum-Rate Analysis in a Cognitive Radio-Based Internet of Things.
Sensors, 2020

Network Anomaly Detection Using LightGBM: A Gradient Boosting Classifier.
Proceedings of the 30th International Telecommunication Networks and Applications Conference, 2020

2019
Accepted or Abandoned? Predicting the Fate of Code Changes.
CoRR, 2019

Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm.
Big Data Cogn. Comput., 2019

2018
Unscented Kalman Filter Based on Spectrum Sensing in a Cognitive Radio Network Using an Adaptive Fuzzy System.
Big Data Cogn. Comput., 2018


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