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notification » modifications (Expand Search), certification (Expand Search), justification (Expand Search)
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Construction Materials Classification Using Wi-Fi and Convolutional Neural Networks
Published 2021Subjects: Get full text
doctoralThesis -
122
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 -
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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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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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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: -
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Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification
Published 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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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…In this paper, we propose two models for intrusion detection and classification scheme Trust-based Intrusion Detection and Classification System (TIDCS) and Trust-based Intrusion Detection and Classification System- Accelerated (TIDCS-A) for secure network. …”