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Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images
منشور في 2020"…Three types of classification models were built: person-specific models, generic classification models, and calibrated-generic classification models. …"
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63
An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method
منشور في 2022"…In term of binary-class classification, we were able to achieve very good results using both GM and WM. …"
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64
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Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning
منشور في 2025"…The framework also supported hydronephrosis classification using the fluid-to-kidney area ratio, with a threshold of 0.213 derived from prior literature. …"
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66
Construction Materials Classification Using Wi-Fi and Convolutional Neural Networks
منشور في 2021الموضوعات: احصل على النص الكامل
doctoralThesis -
67
Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning
منشور في 2023"…A Master of Science thesis in Computer Engineering by Yara Kaddoura entitled, “Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning”, submitted in January 2023. …"
احصل على النص الكامل
doctoralThesis -
68
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
منشور في 2021الموضوعات: احصل على النص الكامل
doctoralThesis -
69
FPGA-based Parallel Hardware Architecture for Real-time Object Classification
منشور في 2014"…A Master of Science thesis in Computer Engineering by Murad Mohammad Qasaimeh entitled, "FPGA-based Parallel Hardware Architecture for Real-time Object Classification," submitted in June 2014. Thesis advisor is Dr. …"
احصل على النص الكامل
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70
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
منشور في 2024الموضوعات: احصل على النص الكامل
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71
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Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis
منشور في 2019"…<p>The modification by polymers and nanomaterials can significantly improve different properties of asphalt. …"
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73
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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
منشور في 2024"…Features from MRI images are extracted using 3-D-CNN and fed into the wavelet KRR-RVFL network for brain age classification and prediction. The proposed algorithm achieved high classification accuracy, 97.22%, 99.31%, and 95.83% for GM, WM, and CSF regions, respectively. …"
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Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification
منشور في 2020الموضوعات: -
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EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach
منشور في 2023الموضوعات: -
79
Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification
منشور في 2023"…Performance of the proposed model is evaluated on a publicly available dataset of blood smear images (with malaria-infected and normal class) and achieved a classification accuracy of 96.6%.</p><h2>Other Information</h2><p dir="ltr">Published in: Computers, Materials & Continua<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.32604/cmc.2023.033860" target="_blank">https://dx.doi.org/10.32604/cmc.2023.033860</a></p>…"
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