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

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

"…In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. …"

NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY حسب JINESH, PADIKKAPPARAMBIL

"…Therefore, this thesis proposed a Novel Stacking Classification and Prediction (NSCP) algorithm based on AAL for the older people with Multi-strategy Combination based Feature Selection (MCFS) and Novel Clustering Aggregation (NCA) algorithms. …"
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Internet of things based multi-sensor patient fall detection system حسب Khan, Sarah

الموضوعات: "…Pattern classification…"
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Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis حسب Navadon Khunlertgit (3480926)

Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection حسب Faizul Rakib Sayem (21399890)

Feature modeling using polynomial classifiers and stepwise regression حسب 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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Advancing crop classification in smallholder agriculture: A multifaceted approach combining frequency-domain image co-registration, transformer-based parcel segmentation, and Bi-LS... حسب Waleed Khan (9427344)

"…Furthermore a Bidirectional-Long Short-Term Memory-based (Bi-LSTM) deep learning model is developed and trained for crop classification, achieving results with accuracy of more than 94% and 96% for validation sets of two data sets collected in the field, during 2 growing seasons.…"

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

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

Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators حسب Abu Zitar, Raed

"…Moreover, the results of MGWO are compared with seven state-of-art gene selection methods using the same datasets based on classification accuracy and the number of selected genes. …"
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Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition حسب Abboud, Ralph

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Energy Conservation-based Thresholding for Effective Wavelet Denoising of Partial Discharge Signals حسب Hussein, Ramy

"…Recent studies have shown that wavelet transform can effectively be used for noise reduction in the context of partial discharge (PD) signal detection and classification. …"
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Multivariate Features Extraction and Effective Decision Making Using Machine Learning Approaches حسب Sondes Gharsellaoui (16870047)

"…Third, the extracted and selected features are introduced to several machine learning classifiers for fault classification purposes. The effectiveness and higher classification accuracy of the developed Multiscale PCA (MSPCA)-based ML technique is demonstrated using two examples: synthetic data and simulated data extracted from Air Conditioning systems.…"

Image-CNN Based Process Control of Profile حسب Zeinab, Zeinab Jihad

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An Arabic social media based framework for incidents and events monitoring in smart cities حسب Alkhatib, Manar

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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition حسب Hanif Heidari (22467148)

"…A PRF is more effective on smaller datasets and with higher LE values. …"

Data Analytics: Adaptive Network-based Fuzzy Inference System for prediction of computer science graduates’ employability حسب Khadragy, Saada

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Integrating binary classification and clustering for multi-class dysarthria severity level classification: a two-stage approach حسب Afnan S. Al-Ali (22224889)

"…However, these classification-based approaches may not readily translate to real-world scenarios without predefined labels. …"

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

Improving the Classification of Multiple Disorders with Problem Decomposition حسب Abdel-Aal, Radwan E.

"…Two-stage classification schemes based on hierarchical decomposition boost the classification accuracy from 91% for the single-classifier monolithic approach to 99%, matching the theoretical upper limit reported in the literature for the accuracy of classifying the dataset. …"
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