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. …”

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

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Fault Classification Using Formal Modeling and Mutation Testing with Deep Learning by 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 by Arshad, Muhammad Arbab

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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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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. …”

Benchmark on a large cohort for sleep-wake classification with machine learning techniques by Joao Palotti (8479842)

Active Learning Based Federated Learning for Waste and Natural Disaster Image Classification by Lulwa Ahmed (16869936)

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Exposure of Botnets in Cloud Environment by Expending Trust Model with CANFES Classification Approach by Nagendra Prabhu Selvaraj (17542041)

EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach by Sriman Bidhan Baray (15302398)

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Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification by Ibrar Amin (19438018)

“…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>…”