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1
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
Published 2016Subjects: Get full text
doctoralThesis -
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A reduced model for phase-change problems with radiation using simplified PN approximations
Published 2025“…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …”
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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
Published 2025Subjects: -
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A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
Published 2008Get full text
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Automating UML Models Refactoring using Search-Based Algorithms
Published 2020Get full text
masterThesis -
7
Using genetic algorithms to optimize software quality estimation models
Published 2004“…This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …”
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masterThesis -
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Quality estimation models optimization using genetic algorithms: Case of maintainability
Published 1999Get full text
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conferenceObject -
10
General Inspection Plan For Critical Multicharacteristic Components
Published 2020Get full text
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11
Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques
Published 2025“…In the first stage, the WPT is used to split the PV voltage and string currents into specific sub-band frequencies, and then EMD is used to decompose the selected frequency bands into a number of intrinsic mode functions (IMFs) and a residual. The generated IMF components are then fed into the Random Forest (RF) algorithm designed for shading detection and classification. …”
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Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval
Published 2024“…One of the widely used data-driven FDD methods is the Principal Component Analysis (PCA). …”
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14
Prediction of EV Charging Behavior Using Machine Learning
Published 2021“…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
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15
A COMPLETE INSPECTION PLAN FOR DEPENDENT MULTICHARACTERISTIC CRITICAL COMPONENTS
Published 2020Get full text
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16
Detecting Game Bugs Using Genetic Algorithms And Reachability Analysis Of Colored Petri Nets Models
Published 2020Get full text
masterThesis -
17
A pragmatic approach for testing robustness on real-time component based systems
Published 2005“…In this paper, we suggest a realistic methodology for testing robustness of real-time component-based systems (RTCBS). A RTCBS system is described as a collection of components where each component is specified by a nominal and a degraded specification, modeled as a timed input-output automaton (TIOA). …”
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18
Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms
Published 2023“…Eighteen classification models were built using different classification algorithms such as Gaussian Naive Bais, Logistic Regression, k-nearest neighbors, Random Forest, and Decision Tree. …”
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Valuation of commodity option prices under a regime-switching model with stochastic convenience yield: Model calibration using flower pollination optimization algorithm
Published 2025“…Using the WTI crude oil spot prices, the parameters involved in the proposed commodity regime-switching model are estimated by expectation–maximization algorithm. …”
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The Use of Microwave Tomography in Bone Healing Monitoring
Published 2019Get full text
doctoralThesis