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Metaheuristic Algorithm for State-Based Software Testing
Published 2018“…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …”
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A reduced model for phase-change problems with radiation using simplified PN approximations
Published 2025“…The performance of the proposed reduced models is analyzed on several test examples for coupled radiative heat transfer and phase-change problems in two and three space dimensions. …”
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Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines
Published 2017Subjects: “…Model Based Testing…”
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Modeling, testing, and regression testing of web applications. (c2006)
Published 2006Get full text
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Metaheuristic algorithm for testing web 2.0 applications. (c2012)
Published 2012Get full text
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Modeling and automated blackbox regression testing of web applications
Published 2008“…Having discovered, as well, that there is no automated black box regression testing technique, we also propose a methodology and algorithm to create a tool capable of applying black box regression testing automatically…”
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Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
Published 2013Subjects: Get full text
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New fault models and efficient BIST algorithms for dual-portmemories
Published 1997“…New fault models are proposed, and efficient O(n) test algorithms are described for both the memory array and the address decoders. …”
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Combining and adapting software quality predictive models by genetic algorithms
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CNN and HEVC Video Coding Features for Static Video Summarization
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
Published 2016Subjects: Get full text
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Brain Source Localization in the Presence of Leadfield Perturbations
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Monitoring Bone Density Using Microwave Tomography of Human Legs: A Numerical Feasibility Study
Published 2021“…This study was performed using an in-house finite-element method contrast source inversion algorithm (FEM-CSI). …”
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
Published 2025“…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …”