Grid Voltage Sensorless Model Predictive Control for a Single-Phase T-Type Rectifier With an Active Power Decoupling Circuit by Sertac Bayhan (16388511)

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

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The extended model predictive-sliding mode control of three-level AC/DC power converters with output voltage and load resistance variations by Muhammad Jamshed Abbas (19569334)

“…The traditional proportional-integral (PI) controller is used in the Model Predictive PI controller (MPPIC) technique to produce active power reference. …”

Inverse Model Predictive Control for Power Electronic Converters by Ali Sharida (17947847)

“…<p dir="ltr">In this paper, a new control technique called inverse model predictive control (IMPC) is proposed for power electronic converters. …”

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)

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Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter by Mena S. ElMenshawy (17983807)

Neuroreceptor Activation by Vibration-Assisted Tunneling by Ross D. Hoehn (1836382)

“…Inelasticelectron tunneling spectroscopy (IETS) has been proposed as a model for themechanism by which olfactory GPCRs are activated by a bound agonist. …”

Hierarchical Model-Predictive Droop Control for Voltage and Frequency Restoration in AC Microgrids by Iresha Poonahela (16876005)

“…The proposed predictive control optimally restores voltage and frequency in the microgrid by predicting their trajectory deviations and leveraging the droop characteristic curves. …”

Estimating community feedback effect on topic choice in social media with predictive modeling by David Ifeoluwa Adelani (18877216)

“…Here, we investigate this hypothesis with a predictive approach based on an interpretable model of an author’s decision to continue the topic of their previous post. …”

Forecasting model to predict project success based on the contractors’ characteristics by AlSuwaidi, Khalid Waleed Rashid Deemas

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Experimental demonstration of the active area model in extensional ionic polymer transducers by Akle, Barbar J.

“…This paper presents DC and AC experimental measurements of the free displacement in extensional IPT actuators. The active area model presented in the previous study is employed in this study and is proven to accurately predict the displacement behavior. …”
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An Effective Finite Control Set-Model Predictive Control Method for Grid Integrated Solar PV by Iresha Poonahela (16876005)

“…The system uses a dc-dc converter for power tracking while employing finite control set model predictive control (FCS-MPC) to govern the dc-ac inverter. …”

Prediction of Propulsion Kinematics and Performance in Wheelchair Rugby by David S. Haydon (13011048)

“…More detailed modeling approaches that can account for individual athlete activity limitations would likely result in improved accuracy in propulsion and performance predictions across a range of wheelchair sports. …”

Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset by Heesoo Park (1604989)

“…Using an experiment-to-machine-learning scheme applied to a limited experimental dataset, we built a model that can predict the photocatalytic activity of materials for antimicrobial applications over a wide range of material compositions. …”

Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

“…In this study, we develop a predictive model combining experimental measurements with deep learning techniques. …”
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Assessing and predicting land cover dynamics for environmental sustainability in Jordan's arid ecosystems using CA-Markov model by Rana N. Jawarneh (18180424)

Collaborative Byzantine Resilient Federated Learning by A. Gouissem (17541396)

“…To prevent biased assessments, the identification procedure is done blindly and is incorporated into the regular training process. A smart activation mechanism based on flag activation is also proposed to reduce the network overhead. …”

Group Relative Deprivation and Violent Radicalism: Moving Toward a Comprehensive Model by Serge Guimond (6204587)

Dynamic behavior modelling of a hybrid magnetorheological elastomer with encapsulated fluid for base vibration isolation by Abdelrahman Ali (13531354)

“…To bridge the gap, this study presents a parametric model for a hybrid semi-active isolator's nonlinear and hysteretic behavior that utilizes a hybrid MRE (H-MRE). …”

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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