Blue collar laborers’ travel pattern recognition: Machine learning classifier approach حسب Aya Hasan Alkhereibi (17151070)

COVID-19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers حسب Syed Ali Jafar Zaidi (19505617)

Sentiment Analysis of Emirati Dialect حسب A. Al Shamsi, Arwa

"…The sentiment analysis experiment was carried out on both balanced and unbalanced datasets using several machine learning classifiers. The evaluation metrics of the sentiment analysis experiments were accuracy, recall, precision, and f-measure. …"
احصل على النص الكامل
احصل على النص الكامل

Arabic Sentiment Analysis using Machine Learning حسب ATIYAH, SASI FUAD

"…The research showed that through parameter optimization, basic machine learning classifiers achieved higher results than other more complex hybrid approaches, in addition, the overall parameters settings were tested on two new datasets and provided very promising results indicating that performance weren’t as a cause of overfitting. …"
احصل على النص الكامل

Exploiting Functional Discourse Grammar to Enhance Complex Arabic Relation Extraction using a Hybrid Semantic Knowledge Base - Machine Learning Approach حسب OSMAN, TAHA

"…Using Economics as the problem domain, experimental evalua tion evidenced the high accuracy of our FDG-SKML approach in complex Arabic relation extraction task and demonstrated its further improvement upon integration with machine learning classifiers.…"
احصل على النص الكامل
احصل على النص الكامل

Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic حسب AL MANSOORI, MOUZA

"…The purpose of this study is to examine the performance of sentiment analysis on three datasets that have different level of dialectal Arabic; mixed dialects dataset, gulf dialect dataset, and Emirati dialect dataset. Two machine learning classifiers were used in this experiment; the support vector machine (SVM) and Naïve Bayes (NB). …"
احصل على النص الكامل

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. …"

Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates حسب Reda Rawi (391865)

"…Here, we report machine learning classifiers that accurately predict resistance of HIV-1 isolates to 33 bNAbs. …"

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

"…We then evaluate the proposed methods using machine learning classifiers. We carried out an experiment on nine subjects performing semantic vigilance task (Stroop color word test (SCWT)) for approximately 45 minutes. …"
احصل على النص الكامل

Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods حسب Jayakanth, Kunhoth

"…Extracted features are used to train and evaluate multiple machine learning classifiers such as K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Random forest, and AdaBoost. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

ModeSense: Ubiquitous and Accurate Transportation Mode Detection using Serving Cell Tower Information حسب Sherif Mostafa (13548916)

"…However, existing solutions employ limited statistical hand-engineered features and traditional machine learning classifiers, leading to low estimation accuracy.…"

Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods حسب Jayakanth Kunhoth (14158908)

"…Extracted features are used to train and evaluate multiple machine learning classifiers such as K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Random forest, and AdaBoost. …"

Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements حسب Mubarak A. Bidmos (14158851)

"…Here, we have used the top performing three ML classifiers as base learners and the predictions of these models were used as inputs to different machine learning classifiers as meta learners to make the final decision. …"

Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy حسب Yahya, Fares

"…Five different machine learning classifiers are employed to differentiate between two levels of stress resulting in impressive classification accuracy rates: 96.44% with-nearest neighbor (KNN), 95.52% with linear discriminant analysis (LDA), 88.71% with Naïve Bayes (NB), 87.41 with decision trees (DT) and 96.48% with Support Vector Machine (SVM). …"
احصل على النص الكامل

Sentiment Analysis of the Emirati Dialect text using Ensemble Stacking Deep Learning Models حسب AL SHAMSI, ARWA AHMED

"…For the basic machine learning algorithms, LR, NB, SVM, RF, DT, MLP, AdaBoost, GBoost, and an ensemble model of machine learning classifiers were used. For deep-learning models, CNN, Bi-LSTM, Bi-GRU, as well as Hybrid deep-learning models were used for Sentiment Analysis. …"
احصل على النص الكامل

A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs حسب Alabd-Aljabar, Ahmed

"…The results revealed that all ten chosen deep learning models experienced a similar or improved performance when used in conjunction with a machine learning classifier. In particular, Vision Transformer (ViT) performed the best with a record accuracy of 96% using both the direct and hybrid approaches. …"
احصل على النص الكامل

Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations حسب Abdullah Alsalemi (6951986)

"…A supervised machine learning classifier is then used to analyze the acquired micro-moments, identify abnormalities, and formulate a list of energy-saving recommendations. …"