FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

“…A Master of Science thesis in Computer Engineering by Mohammed Elnawawy entitled, “FPGA-Based Network Traffic Classification Using Machine Learning”, submitted in November 2019. …”
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FPGA-Based Network Traffic Classification Using Machine Learning by Elnawawy, Mohammed

“…The proposed design achieves an average throughput of 163.24 Gbps, exceeding throughputs of reported hardware-based classifiers that use comparable approaches, which in turn ensures the continuity of realtime traffic classification at congested data centers.…”
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Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images by Sami Elzeiny (16891521)

“…By combining 20% of the samples collected from test subjects into the training data, the calibrated generic models’ accuracy was improved and outperformed the generic performance across both the spatial and frequency domain images. The average classification accuracy of 99.6%, 99.9%, and 88.1%, and 99.2%, 97.4%, and 87.6% were obtained for the training set, validation set, and test set, respectively, using the calibrated generic classification-based method for the series of inter-beat interval (IBI) spatial and frequency domain images. …”

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

“…To build the classification models, Random forest (RF), BayesNet (BN), LogitBoost (LB), and Multilayer Perceptron (MLP) were employed using optimized multi-feature using (10-fold) cross-validation approach. …”

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

Feature modeling using polynomial classifiers and stepwise regression by Shanableh, Tamer

“…Two application scenarios are used to test the proposed solution, namely; image-based hand recognition and video-based recognition of isolated sign language gestures. …”
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Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

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On the Use of Deep Learning for Video Classification by Atiq ur Rehman (14153391)

“…The paper also summarizes the benchmark datasets and the performance evaluation matrices for video classification. Based on the compact, complete, and concise review, the paper proposes new research directions to solve the challenging video classification problem.…”

Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques by Amith Khandakar (14151981)

“…Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a higher risk of foot ulceration. …”

A Convolutional Neural Network-Based Framework for Classification of Protein Localization Using Confocal Microscopy Images by Sonam Aggarwal (16904763)

“…Hence, this study aims to develop a deep learning-based system for the multi-label classification of HPA. …”

EEG-Based Semantic Vigilance Level Classification Using Directed Connectivity Patterns and Graph Theory Analysis by Yahya, Fares

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Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models by Theng, Lau Wei

“…There are many techniques that can be used for fruit classification using computer vision technology. …”
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Markisa/Passion Fruit Image Classification Based Improved Deep Learning Approach Using Transfer Learning by Abdo, Ahmed

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Drone/Bird Classification Based on Features of Tracks Trajectories by Kengeskanov, Maksat

“…This paper presents the outcome of several machine learning techniques used for the task of bird/drone classification based on their tracks. …”
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Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Hassaan Malik (10486121)

“…Therefore, we designed a novel deep learning (DL)-based chest disease detection network (DCDD_Net) that uses a CXR, CT scans, and cough sound images for the identification of nine different types of chest diseases. …”

LDSVM: Leukemia Cancer Classification Using Machine Learning by Abdul Karim (417009)

DCT-Based Channel Attention for Multivariate Time Series Classification by Amine Haboub (22392097)

“…<p dir="ltr">This article introduces a novel DCT-based channel attention (DCA) mechanism for time series classification (TSC) using convolutional neural networks (CNNs). …”

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance by Krishnamoorthy Natarajan (22047464)

Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition by Tuffaha, Mohammed

“…The dataset is collected using sensor-based gloves. We propose a novel set of features suitable for sensor readings based on covariance, smoothness, entropy and uniformity. …”
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An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method by Heba Soliman Zaina (16904787)