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Behavioral Modeling of GaN Doherty Power Amplifiers Using Memoryless Polar Domain Functions and Deep Neural Networks
منشور في 2020"…In this paper, novel Doherty Power Amplifier (DPA) models are presented. The motivation behind the proposed models is to accurately predict static nonlinearities in the compression regions of the carrier and peaking amplifiers. …"
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Iterative Methods for the Solution of a Steady State Biofilter Model
منشور في 2017احصل على النص الكامل
doctoralThesis -
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Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy
منشور في 2024"…In conclusion, this study demonstrates the effectiveness of combining functional near infrared spectroscopy (fNIRS) with multiple machine learning models to accurately assess and quantify mental stress levels during prolonged space missions, providing a promising approach for early stress detection in astronauts.…"
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A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
منشور في 2024"…Moreover, the DBRF classification model is deployed to categorize the normal and attacking data flows using optimized features. …"
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High-Accurate Parameter Identification of PEMFC Using Advanced Multi-Trial Vector-Based Sine Cosine Meta-Heuristic Algorithm
منشور في 2025"…<p dir="ltr">Development and modeling of proton exchange membrane fuel cells (PEMFCs) need accurate identification of unknown factors affecting mathematical models. …"
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Hypergeometric Gevrey-0 approximation for the Gevrey-<i>k </i>divergent series with application to eight-loop renormalization group functions of the O(<i>N</i>)-symmetric field mod...
منشور في 2024"…(Phys Rev Lett 115:143001, 2015) discovered that the hypergeometric function can serve as an accurate approximant for a divergent Gevrey-1 type of series with an asymptotic large-order behavior of the form . …"
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A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
منشور في 2025"…The proposed model offers an accurate, robust, and uncertainty-aware solar power forecasting methodology for improved power system operation and management.…"
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Wide area monitoring system operations in modern power grids: A median regression function-based state estimation approach towards cyber attacks
منشور في 2023"…To address this issue, a median regression function (MRF)-based state estimation is presented in this paper. …"
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THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis
منشور في 2025"…The small-scale fading is modeled using the α–μ distribution, which accurately represents various fading environments. …"
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Recurrent ensemble random vector functional link neural network for financial time series forecasting
منشور في 2024"…However, the non-stationary and non-linear characteristics inherent in time series data pose significant challenges when accurately predicting future forecasts. This paper proposes a novel Recurrent ensemble deep Random Vector Functional Link (RedRVFL) network for financial time series forecasting. …"
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The link between glycemic control measures and eye microvascular complications in a clinical cohort of type 2 diabetes with microRNA-223-3p signature
منشور في 2023"…Accordingly, we performed functional validation using a miR-223-3p mimic (overexpression) under control and hyperglycemia-induced conditions in a zebrafish model.…"
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Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting
منشور في 2025"…This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. …"
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Simulation & Analysis of the Helicopter Transmission System
منشور في 2019"…The last method is the hybrid model, where the gears are taken as discrete elements, while the shaft characteristics are continuous functions of the shafts’ length. …"
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Modeling, Simulation and Control of Biotrickling Filter for Removal of Air Pollutants
منشور في 2012احصل على النص الكامل
doctoralThesis -
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Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
منشور في 2023"…Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, slow decay of autocorrelation function, among many others. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models
منشور في 2023"…<p>Accurately modeling and forecasting electricity consumption remains a challenging task due to the large number of the statistical properties that characterize this time series such as seasonality, trend, sudden changes, slow decay of autocorrelation function, among many others. …"
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Heteroscedastic ensemble deep random vector functional link neural network with multiple output layers for High Frequency Volatility Forecasting and Risk Assessment
منشور في 2025"…<p dir="ltr">Accurate volatility forecasting is crucial for the efficient management of <u>financial systems</u>. …"