A study on Implementation of classification techniques to predict students’ results for Institutional Analysis by Gorikhan, Naseem Akhtar

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Exploring Machine Learning Models to Predict Harmonized System Code by AL Taheri, Fatma

“…Following this is the preparation of data for processing and the creation of the machine learning models. The results of the study indicate that machine learning models are effective tools in predicting HS Code for the user goods descriptions. …”
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Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm by Abdelbasset Krama (16870008)

“…<p dir="ltr">This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. …”

Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms by Al-Duwaish, H.

“…Model predictive control or MPC can provide robust control for processes with variable gain and dynamics, multivariable interaction, measured loads and unmeasured disturbances. …”
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Payload Prediction for Quadro Drone using Temporal Deep Machine Learning Models by Abu Zitar, Raed

“…Several simulations were implemented for training, testing, and validation. Cross-validation for the models was implemented The RMSE and MAE errors were used to evaluate the loss and the accuracies. …”
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B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core by Yahuza Bello (19645930)

“…Leveraging AWS environment, we implemented and evaluated the two proposed auto-scaling models based on the attachment success rate, latency, CPU usage and RAM usage. …”

An Effective Transformerless PUC7-Based Dynamic Voltage Restorer Using Model Predictive Control by Mohamed Trabelsi (16869891)

“…The PUC7 inverter is controlled using a multi-objective (filtering current, compensating voltage, and PUC capacitor voltage controls) Model Predictive Control (MPC) strategy. Simulation and implementation tests are carried out to demonstrate the high performance of the proposed DVR at steady-state and during transient conditions, while keeping the load voltage unaffected by the disturbances in the grid voltage.…”

AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

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Developing a UAE-Based Disputes Prediction Model using Machine Learning by Abu Laila, Ibrahim Wasef Subhi

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Adjustments to unemployment amid COVID-19: Implementation of ABCX model of family stress on Chinese tourism industry by Umar Nawaz Kayani (17131781)

Inductive Transfer and Deep Neural Network Learning-Based Cross-Model Method for Short-Term Load Forecasting in Smarts Grids by Dabeeruddin Syed (16864260)

An Effective Model Predictive Control Method With Self-Balanced Capacitor Voltages for Single-Phase Three-Level Shunt Active Filters by Hasan Komurcugil (16388513)

“…<p>This paper presents an effective model predictive control (MPC) method for single-phase three-level T-type inverter-based shunt active power filters (SAPFs). …”

Distilling Wisdom: A Review on Optimizing Learning From Massive Language Models by Dingzong Zhang (23275066)

Will they take this offer? A machine learning price elasticity model for predicting upselling acceptance of premium airline seating by Saravanan Thirumuruganathan (11038038)

“…<p>Employing customer information from one of the world's largest airline companies, we develop a price elasticity model (PREM) using machine learning to identify customers likely to purchase an upgrade offer from economy to premium class and predict a customer's acceptable price range. …”

A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems by Mariam Elnour (14147790)

“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” by Ahmad Samed Al-Adwan (12048279)

Modeling of student academic achievement in engineering education using cognitive and non-cognitive factors by Bothaina A. Al-Sheeb (18069379)

“…The implementation of two new methodologies to improve the prediction accuracy of student success.…”

Battery Energy Management Techniques for Electric Vehicle Traction System by AbdelAziz, Ahmed Sayed AbdelAal

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Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining by Mohammadjafar Hadad (21142499)

“…Recent studies have concentrated on the development of neural networks, as a subcategory of machine learning techniques, to predict non-linear roughness behavior in relation to various parameters. …”

An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System by Alkhatib, Osama

“…Two types of machine learning models namely classification and regression model were developed and implemented to predict the failure and abnormal behavior of the system. …”
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