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Optimization metaheuristic for software testing
Published 2013“…Although state-based testing has been reported, few papers have addressed modern web applications. In our work, we model web applications by associating features or web pages with states; state transition diagrams are based on events representing state transitions. …”
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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach
Published 2025“…However, their susceptibility to intrusions poses a significant challenge. This paper proposes a novel Intrusion Detection System (IDS) leveraging Particle Swarm Optimization (PSO) and an ensemble machine learning approach combining Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbors (KNN) models to enhance the accuracy and reliability of intrusion detection in WSNs. …”
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Multiple objectives optimization of injection-moulding process for dashboard using soft computing and particle swarm optimization
Published 2024“…The best model estimates defects. Multiple objectives particle swarm optimisation extracts optimal process parameters. …”
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Optimal power system VAr planning
Published 1990“…The problem is formulated as a mathematical optimization problem based on a linearized power system model. …”
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On the Optimization of Band Gaps in Periodic Waveguides
Published 2025“…For the first optimization scenario, distribution-free analysis showed that at intermediate function evaluation budgets, detectable differences emerge among algorithms, whereas in the second scenario, these differences diminish at higher evaluation budgets (with no significant pairwise contrasts), indicating convergence. …”
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An Evaluation of Short-Term Effects of Different Soil Management Systems on Soil Physical, Structural and Hydraulic Properties and an Estimation and Optimization of Water Infiltrat...
Published 2022“…Hence, the need for a mathematical model that computes infiltration into agricultural soils is necessary. …”
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A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
Published 2025“…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. …”
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Optimal management, prevalence, and clinical behavior of saddle pulmonary embolism: A systematic review and meta-analysis
Published 2022“…In a multivariate logistic regression model, massive PE features significantly increased the odds of death (OR: 29.3, CI: 4.86–181.81, p < 0.001), whereas, treatment with anticoagulation (AC) alone (OR: 0.1, CI: 0.027–0.356, p < 0.001), TT (OR: 0.065, CI: 0.019–0.26, p < 0.001), surgical thrombectomy (ST) (OR: 0.047, CI: (0.010–0.23), p < 0.001), or percutaneous thrombectomy (PT) (OR: 0.12, CI: 0.020–0.84, p = 0.032) significantly decreased odds of death.…”
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Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
Published 2022“…Next, as a feature selection tool, an improved extension of Artificial Butterfly Optimization (ABO) algorithm is used in order to extract the significant features from data and improve the diagnosis results of multiscale interval SVM. …”
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Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System
Published 2025“…We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …”
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Cost and Sustainability Optimization of Desalinated Water Supply Chains
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…BERT generates a 768-dimensional vector for each record, which introduces significant time complexity during computation. Additionally, our proposed model optimizes the features using a genetic algorithm. …”
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Integrating data collection optimization into pavement management systems
Published 2017“…This study presents the processes required to code the list of roads for testing, select appropriate hotels in the region of testing, and apply a Traveling Salesman Problem with Hotel Stops model to derive a route. Applying the processes to a case study shows significant cost savings associated with this method of roadway testing, as opposed to the current ad hoc methods.…”
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Optimal Routing Protocol in Multimedia Wireless Sensor Networks
Published 2011Get full text
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Optimization of p-chart for Processes with Multiple Assignable Causes and Random Shift
Published 2020Get full text
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