Machine learning approach for the classification of corn seed using hybrid features حسب Aqib Ali (19680145)

الموضوعات:

Feature fusion based on joint sparse representations and wavelets for multiview classification حسب Younes Akbari (14150781)

"…Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views by various fusion methods. …"

Lung cancer medical images classification using hybrid CNN-SVM حسب Abdulrazak Yahya Saleh (18520026)

الموضوعات:

Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images حسب Sami Elzeiny (16891521)

"…Three types of classification models were built: person-specific models, generic classification models, and calibrated-generic classification models. …"

An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method حسب Heba Soliman Zaina (16904787)

"…In term of binary-class classification, we were able to achieve very good results using both GM and WM. …"

Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach حسب Zubair Saeed (19325647)

الموضوعات:

Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning حسب Abdus Salam (1918387)

"…The framework also supported hydronephrosis classification using the fluid-to-kidney area ratio, with a threshold of 0.213 derived from prior literature. …"

Construction Materials Classification Using Wi-Fi and Convolutional Neural Networks حسب Gacem, Mohamed Ait

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Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning حسب Kaddoura, Yara

"…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 حسب Arshad, Muhammad Arbab

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FPGA-based Parallel Hardware Architecture for Real-time Object Classification حسب Qasaimeh, Murad Mohammad

"…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 حسب Aldamani, Raghad

الموضوعات: احصل على النص الكامل

Advancing crop classification in smallholder agriculture: A multifaceted approach combining frequency-domain image co-registration, transformer-based parcel segmentation, and Bi-LSTM for crop classification حسب Waleed Khan (9427344)

الموضوعات:

PROPOSED MODIFICATIONS TO THE CIVIL ENGINEERING PROGRAM AT KFUPM TO FULFILL 2008-2009 ABET CRITERIA AND THE KFUPM PROGRAM REQUIREMENTS حسب Ratrout, N.T

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Surface Modification of Poly(lactic acid) Film via Cold Plasma Assisted Grafting of Fumaric and Ascorbic Acid حسب Asma Abdulkareem (14634508)

Biodegradable Magnesium Alloys for Biomedical Implants: Properties, Challenges, and Surface Modifications with a Focus on Orthopedic Fixation Repair حسب Thomas, Kevin Koshy

"…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 حسب Narasimhan, Srinivasan

الموضوعات: "…Semi-synthetic modification…"
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Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis حسب Md Arifuzzaman (11471123)

"…<p>The modification by polymers and nanomaterials can significantly improve different properties of asphalt. …"

CLASSIFICATION OF REFACTORING METHODS FOR ASPECT ORIENTED PROGRAMMING BASED ON SOFTWARE QUALITY ATTRIBUTES حسب Al-Jamimi, Hamdi Ali

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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation حسب Raveendra Pilli (21633287)

"…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. …"