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Construction Materials Classification Using Wi-Fi and Convolutional Neural Networks
منشور في 2021الموضوعات: احصل على النص الكامل
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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
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123
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
منشور في 2021الموضوعات: احصل على النص الكامل
doctoralThesis -
124
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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125
LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
منشور في 2024الموضوعات: احصل على النص الكامل
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Biodegradable Magnesium Alloys for Biomedical Implants: Properties, Challenges, and Surface Modifications with a Focus on Orthopedic Fixation Repair
منشور في 2023"…These modifications offer opportunities to improve the long-term performance of magnesium-based biomedical implants. …"
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130
Anti-Bacterial and Anti-Fungal Activity of Xanthones Obtained via Semi-Synthetic Modification of α-Mangostin from Garcinia mangostana
منشور في 2017الموضوعات: "…Semi-synthetic modification…"
احصل على النص الكامل
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131
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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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: -
138
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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Hydronephrosis Classifications: Has UTD Overtaken APD and SFU? A Worldwide Survey
منشور في 2021الموضوعات: