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tool implementation » _ implementation (Expand Search), its implementation (Expand Search)
prediction model » predictive models (Expand Search)
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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
Published 2018“…<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. …”
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Exploring Machine Learning Models to Predict Harmonized System Code
Published 2019“…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
Published 2024“…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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Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
Published 2001“…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
Published 2021“…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. …”
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
Published 2024Get full text
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Developing a UAE-Based Disputes Prediction Model using Machine Learning
Published 2022Get full text
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Modeling of student academic achievement in engineering education using cognitive and non-cognitive factors
Published 2019“…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. …”
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An Effective Transformerless PUC7-Based Dynamic Voltage Restorer Using Model Predictive Control
Published 2023“…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.…”
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Will they take this offer? A machine learning price elasticity model for predicting upselling acceptance of premium airline seating
Published 2023“…<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. …”
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A Study into the Adoption of Internet of Things – IoT Technologies within Contractors in Dubai, United Arab Emirates
Published 2020“…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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Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE
Published 2018“…In addition to building a prediction model to examine if a school will improve in the future TIMSS assessment cycles. …”
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An Effective Model Predictive Control Method With Self-Balanced Capacitor Voltages for Single-Phase Three-Level Shunt Active Filters
Published 2021“…<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). …”
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Battery Energy Management Techniques for Electric Vehicle Traction System
Published 2019Get full text
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Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining
Published 2024“…The model developed in this work has the potential to be integrated with the Industrial Internet of Things to further enhance automated machining.…”
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Critical Success Factors for Implementing Artificial Intelligence (AI) Projects in Dubai Government United Arab Emirates (UAE) Health Sector: Applying the Extended Technology Accep...
Published 2019“…Second, a modified proposed model for this research was developed by using the extended TAM model and the most widely used factors. …”
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