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

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Exploring Machine Learning Models to Predict Harmonized System Code حسب 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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Payload Prediction for Quadro Drone using Temporal Deep Machine Learning Models حسب 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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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 حسب 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 حسب 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 حسب 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. …"

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

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

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

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

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

An Effective Transformerless PUC7-Based Dynamic Voltage Restorer Using Model Predictive Control حسب 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.…"

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

Will they take this offer? A machine learning price elasticity model for predicting upselling acceptance of premium airline seating حسب 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” حسب Ahmad Samed Al-Adwan (12048279)

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

An Effective Model Predictive Control Method With Self-Balanced Capacitor Voltages for Single-Phase Three-Level Shunt Active Filters حسب 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). …"

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

A Study into the Adoption of Internet of Things – IoT Technologies within Contractors in Dubai, United Arab Emirates حسب 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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Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining حسب 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. …"

Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE حسب 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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