Mirjam Jonkman
Orcid: 0000-0002-0396-8370
According to our database1,
Mirjam Jonkman
authored at least 30 papers
between 2008 and 2024.
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Bibliography
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
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
A Lightweight Robust Deep Learning Model Gained High Accuracy in Classifying a Wide Range of Diabetic Retinopathy Images.
IEEE Access, 2023
MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data.
IEEE Access, 2023
2022
Sensors, 2022
An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification.
Intell. Syst. Appl., 2022
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
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
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
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
2010
Proceedings of the Biomedical Engineering Systems and Technologies, 2010
Frequency Bands Effects on QRS Detection.
Proceedings of the BIOSIGNALS 2010, 2010
Heart Rate Variability Measurement using the Second Derivative Photoplethysmogram.
Proceedings of the BIOSIGNALS 2010, 2010
2008
Proceedings of the Seventh IEEE International Conference on Cognitive Informatics, 2008