Optimization and cost-benefit analysis of a grid-connected solar photovoltaic system by Md. Mehadi Hasan Shamim, Sidratul Montaha Silmee, Md. Mamun Sikder

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A Robust Framework Combining Image Processing and Deep Learning Hybrid Model to Classify Cardiovascular Diseases Using a Limited Number of Paper-Based Complex ECG Images by Kaniz Fatema, Sidratul Montaha, Md. Awlad Hossen Rony, Sami Azam, Md. Zahid Hasan, Mirjam Jonkman

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A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity by Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Sayma Islam, Pronab Ghosh, Mirjam Jonkman

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A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity. by Sidratul Montaha, Sami Azam, A K M Rakibul Haque Rafid, Sayma Islam, Pronab Ghosh, Mirjam Jonkman

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Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network by Sidratul Montaha, Sami Azam, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Md. Saddam Hossain Mukta, Mirjam Jonkman

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TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study by Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim, Ashraful Islam

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Automated Detection of Broncho-Arterial Pairs Using CT Scans Employing Different Approaches to Classify Lung Diseases by Sami Azam, A.K.M. Rakibul Haque Rafid, Sidratul Montaha, Asif Karim, Mirjam Jonkman, Friso De Boer

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Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset by Simran Gupta, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Sidratul Montaha, Rashik Rahman, Sk. Tanzir Mehedi, Ziaur Rahman

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A novel Data and Model Centric artificial intelligence based approach in developing high-performance Named Entity Recognition for Bengali Language. by Khadija Akter Lima, Khan Md Hasib, Sami Azam, Asif Karim, Sidratul Montaha, Sheak Rashed Haider Noori, Mirjam Jonkman

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Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning by Md. Shakhaout Hossain, Sami Azam, Asif Karim, Sidratul Montaha, Ryana Quadir, Friso De Boer, Md. Altaf-Ul-Amin

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Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model by Shahed Hossain, Sami Azam, Sidratul Montaha, Asif Karim, Sadia Sultana Chowa, Chaity Mondol, Md Zahid Hasan, Mirjam Jonkman

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An Effective Ensemble Machine Learning Approach to Classify Breast Cancer Based on Feature Selection and Lesion Segmentation Using Preprocessed Mammograms by A. K. M. Rakibul Haque Rafid, Sami Azam, Sidratul Montaha, Asif Karim, Kayes Uddin Fahim, Md. Zahid Hasan

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Using feature maps to unpack the CNN ‘Black box’ theory with two medical datasets of different modality by Sami Azam, Sidratul Montaha, Kayes Uddin Fahim, A.K.M. Rakibul Haque Rafid, Md. Saddam Hossain Mukta, Mirjam Jonkman

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BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images by Sidratul Montaha, Sami Azam, Abul Kalam Muhammad Rakibul Haque Rafid, Pronab Ghosh, Md. Zahid Hasan, Mirjam Jonkman, Friso De Boer

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An effective approach to address processing time and computational complexity employing modified CCT for lung disease classification by Inam Ullah Khan, Sami Azam, Sidratul Montaha, Abdullah Al Mahmud, A.K.M. Rakibul Haque Rafid, Md. Zahid Hasan, Mirjam Jonkman

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ECgMLP: A novel gated MLP model for enhanced endometrial cancer diagnosis by Md. Alif Sheakh, Sami Azam, Mst. Sazia Tahosin, Asif Karim, Sidratul Montaha, Kayes Uddin Fahim, Niusha Shafiabady, Mirjam Jonkman, Friso De Boer

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An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation by Sadia Sultana Chowa, Md Rahad Islam Bhuiyan, Mst. Sazia Tahosin, Asif Karim, Sidratul Montaha, Md. Mehedi Hassan, Mohd Asif Shah, Sami Azam

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An Automated Broncho-Arterial (BA) Pair Segmentation Process and Assessment of BA Ratios in Children with Bronchiectasis Using Lung HRCT Scans: A Pilot Study by Sami Azam, Sidratul Montaha, A. K. M. Rakibul Haque Rafid, Asif Karim, Mirjam Jonkman, Friso De Boer, Gabrielle McCallum, Ian Brent Masters, Anne Chang

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MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique by Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, Md. Zahid Hasan, Asif Karim, Khan Md. Hasib, Shobhit K. Patel, Mirjam Jonkman, Zubaer Ibna Mannan

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Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach by Sami Azam, Sidratul Montaha, A.K.M. Rakibul Haque Rafid, Asif Karim, Mirjam Jonkman, Friso De Boer, Gabrielle McCallum, Ian Brent Masters, Anne B Chang

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