Sami Azam
Orcid: 0000-0001-7572-9750
According to our database1,
Sami Azam
authored at least 60 papers
between 2011 and 2024.
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Collaborative distances:
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Bibliography
2024
A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges.
IEEE Access, 2024
Methods for Detection and Measurement of Potential Broncho-Arterial Pairs in Chest Computed Tomography Scans of Children.
IEEE Access, 2024
2023
Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach.
Intell. Syst. Appl., November, 2023
Intell. Syst. Appl., September, 2023
J. Sens. Actuator Networks, June, 2023
Using feature maps to unpack the CNN 'Black box' theory with two medical datasets of different modality.
Intell. Syst. Appl., May, 2023
PbDinEHR: A Novel Privacy by Design Developed Framework Using Distributed Data Storage and Sharing for Secure and Scalable Electronic Health Records Management.
J. Sens. Actuator Networks, April, 2023
High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images.
Comput. Biol. Medicine, March, 2023
Inf., January, 2023
Designing a Private and Secure Personal Health Records Access Management System: A Solution Based on IOTA Distributed Ledger Technology.
Sensors, 2023
Feature Extraction Using Deep Generative Models for Bangla Text Classification on a New Comprehensive Dataset.
CoRR, 2023
AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer's Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images.
IEEE Access, 2023
A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images.
IEEE Access, 2023
Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning.
IEEE Access, 2023
MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data.
IEEE Access, 2023
Data Driven Classification of Opioid Patients Using Machine Learning-An Investigation.
IEEE Access, 2023
Determining the Optimal Number of GAT and GCN Layers for Node Classification in Graph Neural Networks.
Proceedings of the 8th IEEE International Conference On Software Engineering and Computer Systems, 2023
Simulation of IoT-based Smart City of Darwin: Leading Cyber Attacks and Prevention Techniques.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
Sensors, 2022
TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classification.
Neural Networks, 2022
J. Sens. Actuator Networks, 2022
Integrating social media as cooperative learning tool in higher education classrooms: An empirical study.
J. King Saud Univ. Comput. Inf. Sci., 2022
An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification.
Intell. Syst. Appl., 2022
A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis.
Comput., 2022
TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study.
IEEE Access, 2022
Blockchain-Based Electronic Health Records Management: A Comprehensive Review and Future Research Direction.
IEEE Access, 2022
A Review on Current Technologies and Future Direction of Water Leakage Detection in Water Distribution Network.
IEEE Access, 2022
Proceedings of the 24th IEEE/ACIS International Conference on Software Engineering, 2022
Citadel: An Automated Abuse Detection System to Detect And Prevent Abusive Behaviors over Emails.
Proceedings of the 2022 9th International Conference on Networking, 2022
A Machine Learning based Proposition for Automated and Methodical Prediction of Liver Disease.
Proceedings of the 10th International Conference on Computer and Communications Management, 2022
A Robust Deep Learning based Framework for High-Precision Detection of Liver Disease.
Proceedings of the 10th International Conference on Computer and Communications Management, 2022
2021
A novel framework for integrating social media as cooperative learning tool in higher education's classrooms.
Res. Pract. Technol. Enhanc. Learn., 2021
IEEE Access, 2021
IEEE Access, 2021
An Unsupervised Approach for Content-Based Clustering of Emails Into Spam and Ham Through Multiangular Feature Formulation.
IEEE Access, 2021
Study of Correlation Between EEG Electrodes for the Analysis of Cortical Responses Related to Binaural Hearing.
IEEE Access, 2021
Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques.
IEEE Access, 2021
IEEE Access, 2021
IEEE Access, 2021
Proceedings of the IEEE Region 10 Conference, 2021
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer.
Proceedings of the International Joint Conference on Neural Networks, 2021
Use of Efficient Machine Learning Techniques in the Identification of Patients with Heart Diseases.
Proceedings of the ICISDM 2021: 2021 the 5th International Conference on Information System and Data Mining, Silicon Valley, CA, USA, May 27, 2021
A Robust Deep Learning based Prediction System of Heart Disease using a Combination of Five Datasets.
Proceedings of the 31st International Conference on Computer Theory and Applications, 2021
2020
Efficient Clustering of Emails Into Spam and Ham: The Foundational Study of a Comprehensive Unsupervised Framework.
IEEE Access, 2020
2019
A Systematic Literature Review of Authentication in Internet of Things for Heterogeneous Devices.
J. Comput. Networks Commun., 2019
Vulnerabilities Analysis and Security Assessment Framework for the Internet of Things.
Proceedings of the Cybersecurity and Cyberforensics Conference, 2019
Improving Accessibility for Mobility Impaired People in Smart City using Crowdsourcing.
Proceedings of the Cybersecurity and Cyberforensics Conference, 2019
2018
Proceedings of International Joint Conference on Computational Intelligence, 2018
2017
An Efficient Method for Detecting Fraudulent Transactions Using Classification Algorithms on an Anonymized Credit Card Data Set.
Proceedings of the Intelligent Systems Design and Applications, 2017
Proceedings of the Intelligent Systems Design and Applications, 2017
2013
Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Communication Systems and Networks, 2013
2011
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011