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Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting
Published 2025“…The computational results demonstrate the superiority of the proposed models through a comparative analysis against state-of-the-art approaches across fifteen significant wave height time series, validated by three error metrics and a statistical test.…”
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Fuel Consumption Saving Potential of Stirling Machine on Series Parallel Hybrid Electric Vehicle
Published 2018“…Investigations on alternative fuels and new hybrid powertrain architectures have recently undergone significant efforts in the automotive industry, in attempt to reduce carbon emissions from passenger cars. …”
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Randomized Deep Hopfield Network with Multiple Output Layers for Volatility Time Series Forecasting
Published 2025“…However, the inherent complexity and irregular variations in volatility time series data present significant challenges for accurate modeling. …”
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Recurrent ensemble random vector functional link neural network for financial time series forecasting
Published 2024“…However, the non-stationary and non-linear characteristics inherent in time series data pose significant challenges when accurately predicting future forecasts. …”
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Exergo-Technological Explicit Selection Methodology for Vapor Cycle Systems Optimization for Series Hybrid Electric Vehicles
Published 2018“…Significant research efforts are considered in the automotive industry on the use of low carbon alternative fuels in order to reduce the carbon dioxide emissions and to improve the fuel economy of future vehicles. …”
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A comparative analysis to forecast carbon dioxide emissions
Published 2022“…This leads to the second step, which involves formulating the multivariate time series CO<sub>2</sub> emissions forecasting challenges considering its influential factors. …”
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Hybrid Multimodule DC-DC Converters for Ultrafast Electric Vehicle Chargers
Published 2020“…<p dir="ltr">To increase the adoption of electric vehicles (EVs), significant efforts in terms of reducing the charging time are required. …”
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Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis
Published 2019“…Specifically, symptom queries were first determined to be significantly predictive of subsequent 12-step queries if the probability of querying a medical symptom by those who later sought information about the 12-step program exceeded the probability of that same query being made by a comparison group of all other Bing users in the United States. …”
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Comparable antibody levels in heterologous and homologous mRNA COVID-19 vaccination, with superior neutralizing and IgA antibody responses in mRNA homologous boosting
Published 2024“…ResultsThe study found mRNA vaccines to exhibit superior immunogenicity in primary series vaccination compared to ChAd, with mRNA-1273 significantly enhancing NTAbs, TAbs, anti-S-RBD IgG, and anti-S1 IgA levels (p < 0.001). …”
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Comparable antibody levels in heterologous and homologous mRNA COVID-19 vaccination, with superior neutralizing and IgA antibody responses in mRNA homologous boosting
Published 2024“…</p><h3>Results</h3><p dir="ltr">The study found mRNA vaccines to exhibit superior immunogenicity in primary series vaccination compared to ChAd, with mRNA-1273 significantly enhancing NTAbs, TAbs, anti-S-RBD IgG, and anti-S1 IgA levels (p < 0.001). …”
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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
Published 2025“…However, the dynamic nature and significant variability in financial <u>time series</u> data pose substantial challenges to achieving these forecasts. …”
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Follow‐Up and Comparative Assessment of SARS‐CoV‐2 IgA, IgG, Neutralizing, and Total Antibody Responses After BNT162b2 or mRNA‐1273 Heterologous Booster Vaccination
Published 2024“…Nevertheless, analyses comparing the immunogenicity of heterologous booster to homologous primary vaccination regimens and natural infection are lacking. …”
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A novel hybrid methodology for fault diagnosis of wind energy conversion systems
Published 2023“…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …”
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A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
Published 2021“…The results of the conducted computational experiments indicate that an increase in infrastructure investment through high speed chargers can significantly decrease the size of the necessary fleets. …”
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An innovative simulated annealing approach to the long-term hydroscheduling problem
Published 2001“…The proposed algorithm has been applied successfully to solve a system with four series cascaded reservoirs. Numerical results show an improvement in the solutions compared to previously obtained results…”
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A decision support system for automating document retrieval and citation screening
Published 2021“…The proposed DSS is effective and can substantially decrease the document retrieval and citation screening steps' workload and error rate.…”
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A new tabu search algorithm for the long-term hydro scheduling problem
Published 2002“…The proposed algorithm has been applied successfully to solve a system with four series cascaded reservoirs. Numerical results show an improvement in the solution compared to previously obtained results.…”
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