Using machine learning to support students’ academic decisions حسب ALLAH, AISHA QASIM GHAZAL FATEH

"…This research tests and compares the performance of Decision Trees, Random Forests, Gradient-Boosted trees, and Deep Learning machine learning regression algorithms to predict student GPA. …"
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Positive Unlabelled Learning to Recognize Dishes as Named Entity حسب TAREK, AIMAN

"…I work with Yelp dataset, going through each text review, using each noun as a candidate, label the positive samples using the aforementioned lookup table, then using Positive Unlabelled learning techniques to recognise more entities within the unlabelled data, by predicting the probability for each candidate. …"
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LDSVM: Leukemia Cancer Classification Using Machine Learning حسب Abdul Karim (417009)

"…The main aim was to predict the initial leukemia disease. Machine learning algorithms such as decision tree (DT), naive bayes (NB), random forest (RF), gradient boosting machine (GBM), linear regression (LinR), support vector machine (SVM), and novel approach based on the combination of Logistic Regression (LR), DT and SVM named as ensemble LDSVM model. …"

Machine Learning-Based Approach for EV Charging Behavior حسب Shahriar, Sakib

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Malicious URL and Intrusion Detection using Machine Learning حسب Hamza, Amr

"…Experimental results demonstrated that the ML algorithms were able to achieve high accuracy in predicting website maliciousness and intrusion detection. …"
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Machine Learning Model for a Sustainable Drilling Process حسب Alsaidi, Ola

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Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

"…Data-driven approaches, such as machine learning (ML), particularly deep learning (DL), have shown promising results. …"
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An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids حسب Ifeoluwa Wole-Osho (14151315)

Stacking-based ensemble learning for remaining useful life estimation حسب Begum Ay Ture (17773170)

"…In this study, predictive models that estimate the remaining useful life of turbofan engines have been developed using deep learning algorithms on NASA’s turbofan engine degradation simulation dataset. …"

Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test حسب Hasan T. Abbas (8115014)

"…In this paper, we present an automatic tool that uses machine learning techniques to predict the development of type 2 diabetes mellitus (T2DM). …"

Arabic Hotel Reviews Sentiment Analysis Using Deep Learning حسب ALMANSOORI, MOHAMMAD

"…Our models utilized advanced text preprocessing, feature extraction, and classification algorithms to accurately predict sentiment polarity in Arabic hotel reviews. …"
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Analysis of Using Machine Learning to Enhance the Efficiency of Facilities Management in the UAE حسب ULLAH, SAAD

"…This study addresses these issues by Implementing Machine Learning (ML) algorithms using data from Building Management Systems (BMS) and FM maintenance reports, focussing on predictive maintenance for Fresh Air Handling Units. …"
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Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks حسب Mohamed Massaoudi (16888710)

Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm حسب Noor Habib Khan (22224775)

"…To avoid such issues and provide the optimal solution, there are some modifications are implemented into the internal structure of t‐LCA based on Weibull flight operator, mutation‐based approach, quasi‐opposite‐based learning and gorilla troops exploitation‐based mechanisms to enhance the overall strength of the algorithm to obtain the global solution. …"

Next-generation energy systems for sustainable smart cities: Roles of transfer learning حسب Yassine Himeur (14158821)

"…However, training machine learning algorithms to perform various energy-related tasks in sustainable smart cities is a challenging data science task. …"

Enhancing e-learning through AI: advanced techniques for optimizing student performance حسب Rund Mahafdah (21399854)

"…The findings demonstrate that CNN outperformed other deep learning and machine learning algorithms in terms of accuracy during the prediction phase, showcasing the advanced capabilities of AI in educational contexts. …"

Proactive machine learning-based solution for advanced manageability of multi-persona mobile computing حسب Tout, Hanine

"…Additionally, idle applications and virtual environments impose high overhead on the device. Through machine learning, this work predicts future context and resource needs of currently running virtual environments and potential future active ones. …"
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Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data حسب ODEH, HANEEN

"…The classification algorithms were able to predict the pass/fail statues with up to 93.5% accuracy. …"
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Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems حسب Mahmood, Lubna Syeda

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Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations حسب Md Mosarrof Hossen (21399056)

"…A comparative evaluation of three FL algorithms (FedAvg, FedProx, Mime-lite) identifies the most suitable aggregation strategy. …"