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. …”

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

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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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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. …”

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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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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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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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)

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). …”

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

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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. …”

“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)

“…This study provides a comprehensive approach toward the prediction of student academic performance through the lens of the knowledge, attitudes and behavioral skills (KAB) model. …”

Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE by SHWEDEH, FATEN

“…In addition to building a prediction model to examine if a school will improve in the future TIMSS assessment cycles. …”
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Inductive Transfer and Deep Neural Network Learning-Based Cross-Model Method for Short-Term Load Forecasting in Smarts Grids by Dabeeruddin Syed (16864260)

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

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

“…The second BEM technique is based on model predictive control (MPC) which generates the current signal for the speed regulation. …”
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A Study into the Adoption of Internet of Things – IoT Technologies within Contractors in Dubai, United Arab Emirates by Al-Amleh, Khalel

“…Regression analysis was used to test the research hypotheses and Multiple linear regression was utilized to develop a prediction model. Findings – According to respondents, when asked on the types of IoT technologies utilized by their organizations BIM, smartphones, and cloud storage systems were the contractors' leading types of IoT technologies adopted. …”
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