Publication List
Years
1. 2024
2. 2023
3. 2022
4. 2021
5. 2020
2024
3. Enhancing Monkeypox diagnosis and explanation through modified transfer learning, vision transformers, and federated learning.
Ahsan, M. M., et al.
Informatics in Medicine Unlocked (Elsevier)
[Paper] [Code]
2. Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model.
Mahim, S. M., et al.
IEEE Access (IEEE)
[Paper] [Code]
1. Enhancing and improving the performance of imbalanced class data using novel GBO and SSG: A comparative analysis.
Ahsan, M. M., et al.
Neural Networks (Elsevier)
[Paper] [Code]
2023
9. Few shot learning for medical imaging: A comparative analysis of methodologies and formal mathematical framework.
Nayem, Jannatul, et al.
Springer Nature Switzerland
[Paper] [Code]
8. Invariant Scattering Transform for Medical Imaging.
Ahsan, M. M., et al.
Springer Nature Switzerland
[Paper] [Code]
7. Defect Analysis of 3D Printed Cylinder Object Using Transfer Learning Approaches.
Ahsan, M. M., et al.
arXiv preprint arXiv:2310.08645
[Paper] [Code]
6. Efficient Deep Learning-Based Data-Centric Approach for Autism Spectrum Disorder Diagnosis from Facial Images Using Explainable AI.
Alam, M. S., et al.
Technologies (MDPI)
[Paper] [Code]
5. Monkeypox diagnosis with interpretable deep learning.
Ahsan, M. M., et al.
IEEE Access (IEEE)
[Paper] [Code]
4. Enhancing Atrial Fibrillation detection accuracy: A wavelet transform filtered single lead ECG signal analysis with artificial neural networks and novel feature extraction.
Duranta, D. U. S., et al.
Machine Learning with Applications (Elsevier)
[Paper] [Code]
3. Bsgan: A novel oversampling technique for imbalanced pattern recognitions.
Ahsan, M. M., et al.
arXiv preprint arXiv:2305.09777
[Paper] [Code]
2. Deep transfer learning approaches for Monkeypox disease diagnosis.
Ahsan, M. M., et al.
Expert Systems with Applications (Elsevier)
[Paper] [Code]
1. Cardiovascular disease identification using a hybrid CNN-LSTM model with explainable AI.
Hossain, M. M., et al.
Informatics in Medicine Unlocked (Elsevier)
[Paper] [Code]
2022
15. Empirical study of autism spectrum disorder diagnosis using facial images by improved transfer learning approach.
Alam, M. S., et al.
Bioengineering (MDPI)
[Paper] [Code]
14. Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights.
Ahsan, M. M., et al.
arXiv preprint arXiv:2211.05633
[Paper] [Code]
13. Imbalanced Class Data Performance Evaluation and Improvement using Novel Generative Adversarial Network-based Approach: SSG and GBO.
Ahsan, M. M., et al.
arXiv preprint arXiv:2210.12870
[Paper] [Code]
12. Accurate Numerical Treatment on a Stochastic SIR Epidemic Model with Optimal Control Strategy.
Ghosh, I., et al.
Technologies (MDPI)
[Paper] [Code]
11. Image Data collection and implementation of deep learning-based model in detecting Monkeypox disease using modified VGG16.
Ahsan, M. M., et al.
arXiv preprint arXiv:2206.01862
[Paper] [Code]
10. Monkeypox image data collection.
Ahsan, M. M., et al.
arXiv preprint arXiv:2206.01774
[Paper] [Code]
9. Machine learning-based heart disease diagnosis: A systematic literature review.
Ahsan, M. M., et al.
Artificial Intelligence in Medicine (Elsevier)
[Paper] [Code]
8. A modified iterative algorithm for numerical investigation of HIV infection dynamics.
Ghosh, I., et al.
Algorithms (MDPI)
[Paper] [Code]
7. A comparative analysis on suicidal ideation detection using NLP, machine, and deep learning.
Haque, R., et al.
Technologies (MDPI)
[Paper] [Code]
6. Industry 4.0 in Healthcare: A systematic review.
Ahsan, M. M., et al.
International Journal of Information Management Data Insights (Elsevier)
[Paper] [Code]
5. Machine-learning-based disease diagnosis: A comprehensive review.
Ahsan, M. M., et al.
Healthcare (MDPI)
[Paper] [Code]
4. Promise of AI in DeFi, a systematic review.
Sadman, N., et al.
Digital (MDPI)
[Paper] [Code]
3. Design and development of an autonomous surface vehicle for water quality monitoring.
Rashid, M. M., et al.
arXiv preprint arXiv:2201.10685
[Paper] [Code]
2. The development of a portable elbow exoskeleton with a twisted strings actuator to assist patients with upper limb inhabitation.
Roy, R., et al.
arXiv preprint arXiv:2202.03147
[Paper] [Code]
1. Machine learning-based disease diagnosis: A bibliometric analysis.
Ahsan, M. M., et al.
arXiv preprint arXiv:2201.02755
[Paper] [Code]
2021
11. Driver drowsiness detection using ensemble convolutional neural networks on YawDD.
Salman, R. M., et al.
arXiv preprint arXiv:2112.10298
[Paper] [Code]
10. Performance analysis of PI and DMRAC algorithm in buck–boost converter for voltage tracking in electric vehicle using simulation.
Islam, M., et al.
Electronics (MDPI)
[Paper] [Code]
9. Investigation of 2DOF PID controller for physio-therapeutic application for elbow rehabilitation.
Roy, R., et al.
Applied Sciences (MDPI)
[Paper] [Code]
8. Detection of COVID-19 Patients from CT Scan and Chest X-ray Data Using Modified MobileNetV2 and LIME.
Ahsan, M. M., et al.
Healthcare (MDPI)
[Paper] [Code]
7. Effect of data scaling methods on machine learning algorithms and model performance.
Ahsan, M. M., et al.
Technologies (MDPI)
[Paper] [Code]
6. Behavioral Pattern Analysis between Bilingual and Monolingual Listeners’ Natural Speech Perception on Foreign-Accented English Language Using Different Machine Learning Approaches.
Ahad, M. T., et al.
Technologies (MDPI)
[Paper] [Code]
5. A review on comparative remarks, performance evaluation and improvement strategies of quadrotor controllers.
Roy, R., et al.
Technologies (MDPI)
[Paper] [Code]
4. Evaluating the performance of eigenface, fisherface, and local binary pattern histogram-based facial recognition methods under various weather conditions.
Ahsan, M. M., et al.
Technologies (MDPI)
[Paper] [Code]
3. Detecting SARS-CoV-2 from chest X-Ray using artificial intelligence.
Ahsan, M. M., et al.
IEEE Access (IEEE)
[Paper] [Code]
2. Performance Analysis of PI and DMRAC Algorithm in Buck–Boost Converter for Voltage Tracking in Electric Vehicle Using Simulation.
Islam, M., et al.
Electronics (MDPI)
[Paper] [Code]
1. Effect of data scaling methods on machine learning algorithms and model performance.
Ahsan, M. M., et al.
Technologies (MDPI)
[Paper] [Code]
2020
8. Face Recognition in an Unconstrained and Real-Time Environment Using Novel BMC-LBPH Methods Incorporates with DJI Vision Sensor.
Ahsan, M. M., et al.
Journal of Sensor and Actuator Networks (MDPI)
[Paper] [Code]
7. “can nlp techniques be utilized as a reliable tool for medical science?”-building a nlp framework to classify medical reports.
Sadman, N., et al.
2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
[Paper] [Code]
6. Covid-19 symptoms detection based on nasnetmobile with explainable ai using various imaging modalities.
Ahsan, M. M., et al.
Machine Learning and Knowledge Extraction (MDPI)
[Paper] [Code]
5. ADCR: An Adaptive TOOL to select” Appropriate Developer for Code Review” based on Code Context.
Sadman, N., et al.
2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)
[Paper] [Code]
4. Applications and Evaluations of Bio-Inspired Approaches in Cloud Security: A Review.
Ahsan, M. M., et al.
IEEE Access
[Paper] [Code]
3. Deep MLP-CNN model using mixed-data to distinguish between COVID-19 and Non-COVID-19 patients.
Ahsan, M. M., et al.
Symmetry (MDPI)
[Paper] [Code]
2. Study of different deep learning approach with explainable ai for screening patients with COVID-19 symptoms: Using ct scan and chest x-ray image dataset.
Ahsan, M. M., et al.
arXiv preprint arXiv:2007.12525
[Paper] [Code]
1. Leveraging machine learning approach to setup software-defined network (SDN) controller rules during DDoS attack.
Sen, S., et al.
Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2018 (Springer Singapore)
[Paper] [Code]