Machine learning-aided prediction of COD removal in the electrocoagulation process using a super learner model by Mhd Taisir Albaba (20601071)

“…The stacking model uses three ensemble models, specifically, gradient boosting regression (GBR), eXtreme Gradient Boosting (XGB), and random forest regression (RFR), as the base learners, while the meta learner is a linear regression model. …”

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. …”
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A Schur-complement model-order-reduction technique for the finite element solution of transient elastohydrodynamic lubrication problems by Habchi, W.

“…As such, it is exact and introduces no additional errors to the solution, with respect to the standard non-reduced finite element model. The technique reduces by one, the dimension of the linear elasticity part within the EHL problem. …”
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Illegitimate Tasks, Negative Affectivity, and Organizational Citizenship Behavior among Private School Teachers: AMediated–Moderated Model by Shaya, Nessrin

“…Confirmatory factor analysis (CFA) is conducted using AMOS 20, hierarchical linear modeling (HLM) is utilized to verify the causal and moderation hypotheses, and the resulting moderated mediated conceptual model is evaluated by employing Hayes PROCESS analysis. …”
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Particle swarm optimization based algorithm for protein structure prediction in the 3D HP model. (c2008) by Kanj, Fatima Hassan

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A thermodynamically consistent phase field model for brittle fracture in graded coatings under thermo-mechanical loading by R. Piska (18560701)

“…Additionally, the model incorporates a thermal conductivity degradation proposed. …”

SYSTEM DYNAMICS APPROACH FOR WHOLE LIFE CYCLE COST MODELLING OF RESIDENTIAL BUILDING PROJECTS IN UNITED ARAB EMIRATES by Sadek, Ahmed

“…The significance of cost modelling comes from the forecasted information value. …”
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Solar Technology and District Cooling System in a Hot Climate Regions: Optimal Configuration and Technology Selection by Rabah Ismaen (18387189)

“…The research presented in this paper aims to assess and compare these configurations by considering the energy prices and the installation area. The proposed model is formulated in Mixed-Integer Linear Programming and optimizes the holistic system design and operation. …”

Investigating the Distribution of the Modulus of Subgrade Reaction for the Structural Design of Mat Foundations in Clay by Saad, Gaby Michel

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Integrated Power Amplifier Design with Built-in Analog Pre-Distortion by Kashfi, Seyed Mohammad

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Quarantine-aware home healthcare routing and scheduling: a bi-objective approach by Najmeh Nabavizadeh (22928821)

“…To address these pressing needs, our research introduces a Mixed Integer Linear Programming (MILP) model tailored to the COVID-19 era. …”

High Brightness and High Voltage Dimmable LED Driver for Advanced Lighting System by Mohammad Meraj (16855401)

“…These two modelling approaches result in the optimization of both footprint and cost of the driver. …”

Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar by Amith Khandakar (14151981)

“…Two different bias calculation techniques were used to evaluate the instances of biased prediction, which can be utilized to reduce bias to improve accuracy. The ANN model outperforms other regression models, such as a linear regression model, M5P decision tree and gaussian process regression (GPR) model. …”

Neural network based predistortion of radio frequency power amplifiers by Ali, Anfal Alsayed

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Optimization and assessment of solar-assisted cooling systems: A multicriteria framework and comparative study by Dana, Alghool

“…First, novel Mixed-Integer Linear Programming models are proposed to aid in generating cost-effective designs and operations for each of STECS and HSCS. …”
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An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services by Dorahaki, Sobhan

“…The proposed structure is modeled using a mixed integer linear programming (MILP) approach and solved with the CPLEX solver, allowing for precise optimization of CES operations. …”
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An adaptive bi-level optimization model for market integration of community energy storage in local trading and upstream energy and regulation services by Sobhan Dorahaki (20545670)

“…The proposed structure is modeled using a mixed integer linear programming (MILP) approach and solved with the CPLEX solver, allowing for precise optimization of CES operations. …”

Loss Model Control for Efficiency Optimization and Advanced Sliding Mode Controllers with Chattering Attenuation for Five-Phase Induction Motor Drive by Hassen Moussa (19759911)

“…Secondly, this paper also proposes a Loss Model Controller (LMC) for FPIM energy optimization. …”

Accurate modeling of nonideal low-power PWM DC-DC converters operating in CCM and DCM using enhanced circuit-averaging techniques by Tannir, Dani

“…As a result, most of these existing approaches present simplified models that are ideal or linearized, and do not accurately account for the performance characteristics of the converter. …”
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Local stress distribution in composites for pulled-out fibers with axially varying bonding by Igor V. Andrianov (5483624)

“…Bonding is modeled by a modification of the classical spring-layer model, in which the quality of bonding between two constituents is quantified by a proportionality constant that describes the ratio of the displacements to the acting shear stresses in an interface. …”