System Identification Using Group Method of Data Handling (GMDH) by Abu-Kheil, Yasmeen Mohammed Zuhair

“…A Master of Science Thesis in Mechatronics Submitted by Yasmeen Mohammed Zuhair Abu-Kheil Entitled, "System Identification Using Group Method of Data Handling (GMDH)," January 2009. …”
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Vehicular Environment Identification Based on Channel State Information and Deep Learning by Hadid, Abdenour

“…We consider environment identification as a classification problem, and propose a new convolutional neural network (CNN) architecture to deal with it. …”
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DASSI: differential architecture search for splice identification from DNA sequences by Shabir Moosa (14153316)

“…</p> <h2>Conclusions</h2> <p>We proposed the use of differential architecture search method (DASSI) to perform SS classification on raw DNA sequences, and discovered new neural network models with low number of tunable parameters and competitive performance compared with manually engineered architectures. …”

Risk Identification of Electric Vehicle Infrastructure Projects: A Systematic Review by Yifei Sheng

“…Methods: With the aim of identifying risk factors within electric vehicle infrastructure projects, a review on the risk identification of electric vehicle infrastructure projects is conducted using preferred reporting items for systematic reviews and meta-analysis (PRISMA) approach and classification analysis of literature. …”
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Group Classification and Similarity Solutions of Klein Gordon Equations on a Sphere by unknown

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Deep Learning Models for Small Fruit Detection and Maturity Level Classification by unknown

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Low-Light Homomorphic Filtering Network for integrating image enhancement and classification by Al Sobbahi, Rayan

“…When embedded with a classification model, our solution achieves an average 5.5% improvement in classification accuracy, compared with the traditional pipeline of separate enhancement followed by classification. …”
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Low-Light Image Enhancement for Object Classification using Deep Learning by Al Sobbahi, Rayan

“…When embedded with a classification model, our solution achieves an average of 5.5% improvement in classification accuracy, compared with the traditional pipeline of separate enhancement followed by classification. …”
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Harmonizing Bilingual Layouts: A Proposal of Latin–Arabic Typographic Classifications by Abdel Baki, Randa

“…This proposal presents multiple bilingual layout classifications to equip designers in better understanding duality and creating harmonious bilingual compositions while preserving the local script.…”
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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. …”

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

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