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purification » publication (Expand Search)
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Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning
Published 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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Construction Materials Classification Using Wi-Fi and Convolutional Neural Networks
Published 2021Subjects: Get full text
doctoralThesis -
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Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning
Published 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. …”
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
Published 2021Subjects: Get full text
doctoralThesis -
146
FPGA-based Parallel Hardware Architecture for Real-time Object Classification
Published 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. …”
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doctoralThesis -
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LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
Published 2024Subjects: Get full text
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Biodegradable Magnesium Alloys for Biomedical Implants: Properties, Challenges, and Surface Modifications with a Focus on Orthopedic Fixation Repair
Published 2023“…These modifications offer opportunities to improve the long-term performance of magnesium-based biomedical implants. …”
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153
Anti-Bacterial and Anti-Fungal Activity of Xanthones Obtained via Semi-Synthetic Modification of α-Mangostin from Garcinia mangostana
Published 2017Subjects: “…Semi-synthetic modification…”
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Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis
Published 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
Published 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
Published 2020Subjects: -
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EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach
Published 2023Subjects: