A Complete Classification of 2 x 2 Linear Iterative Systems by Habre, Samer

“…As in the case of linear systems of differential equations, the classification of the equilibrium solution (0; 0) leads to an analysis of the eigenvalues and eigenvectors of the system matrix. …”
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MEDIC: a multi-task learning dataset for disaster image classification by Firoj Alam (14158866)

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Classification and segmentation of kidney MRI images for chronic kidney disease detection by Md. Sakib Bin Islam (20494559)

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

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Feature fusion based on joint sparse representations and wavelets for multiview classification by 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 by Abdulrazak Yahya Saleh (18520026)

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Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images by 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 by 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 by Zubair Saeed (19325647)

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Hybrid Neural Networks for Precise Hydronephrosis Classification Using Deep Learning by 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. …”

FPGA-based Parallel Hardware Architecture for Real-time Object Classification by 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 by Aldamani, Raghad

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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 by Waleed Khan (9427344)

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

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

Biodegradable Magnesium Alloys for Biomedical Implants: Properties, Challenges, and Surface Modifications with a Focus on Orthopedic Fixation Repair by 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 by Narasimhan, Srinivasan

Subjects: “…Semi-synthetic modification…”
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Modelling of Asphalt’s Adhesive Behaviour Using Classification and Regression Tree (CART) Analysis by 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 by Al-Jamimi, Hamdi Ali

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Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by 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. …”