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Supercapacitor Characterization Using Universal Adaptive Stabilization and Optimization
منشور في 2020الموضوعات: احصل على النص الكامل
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Model Parameter Identification of Supercapacitors Using Metaheuristic Gradient Based Optimization
منشور في 2023"…A Master of Science thesis in Mechatronics Engineering by Ahmad Hussein Yasin entitled, “Model Parameter Identification of Supercapacitors Using Metaheuristic Gradient Based Optimization”, submitted in November 2023. …"
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Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization
منشور في 2023الموضوعات: "…Parameter identification…"
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doctoralThesis -
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Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
منشور في 2020"…A model is proposed to identify the parameters of a class of stochastic nonlinearsystems. …"
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Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks
منشور في 2013الموضوعات: احصل على النص الكامل
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An Ultrafast Maximum Power Point Setting Scheme for Photovoltaic Arrays Using Model Parameter Identification
منشور في 2015"…In order to separate the search algorithms from converter operation, a model parameter identification approach is presented to estimate insolation conditions of each PV panel and build a real-time overallP-Icurve of PV arrays. …"
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Identifying Friction in a Nonlinear Chaotic System Using a Universal Adaptive Stabilizer
منشور في 2022الموضوعات: احصل على النص الكامل
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High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm
منشور في 2025"…This paper introduces a novel multi-trial vector-based sine cosine algorithm (MTV-SCA) for the identification of seven unknown parameters of PEMFCs. …"
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Neck localization and geometry quantification of intracranial aneurysms
منشور في 2010"…We present an approach for accurate localization of the neck of intracranial aneurysms and quantification of their geometry that is useful for their treatment through endovascular embolization. …"
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احصل على النص الكامل
احصل على النص الكامل
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FiLM-SimVP: Scalable Uncertainty Quantification in Spatiotemporal Forecasting
منشور في 2025"…<p dir="ltr">Uncertainty quantification in spatiotemporal forecasting is crucial for decision-making. …"
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International external quality assurance of JAK2 V617F quantification
منشور في 2018"…The present study aimed to identify parameters of specific importance for <i>JAK2</i> V617F quantification by quantitative PCR, using different starting materials, assays, and technical platforms. …"
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Wiener-Hammerstein Model Identification-Recursive lgorithms
منشور في 2020احصل على النص الكامل
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Parameter Estimation Of Wiener-Hammerstein Models Via Genetic Algorithms
منشور في 2020"…In this paper, a modified genetic algorithm is used as a procedure to solve the parameter identification problem of the nonlinear Wiener-Hammerstein models. …"
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Machine Learning Based Palm Farming: Harvesting and Disease Identification
منشور في 2024"…For this purpose, we utilize deep learning (DL) models by adding additional layers and optimizing various parameters to enhance their performance for these specific tasks. …"
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article