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Modern Wind Turbines Capacity Utilization in Real Conditions
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Wind Turbine Aeroelastic Modeling: Basics and Cutting Edge Trends
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2464
Improved Model Predictive Control Algorithm for the Path Tracking Control of Ship Autonomous Berthing
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Microwave Device for Obtaining Extracts from Plant Materials
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Solution of local fractional generalized coupled Korteweg–de Vries (cKdV) equation using local fractional homotopy analysis method and Adomian decomposition method
Published 2024-12-01“…The findings clearly demonstrate that the suggested methods are appropriate and efficient for handling both linear and nonlinear issues in engineering and sciences. To demonstrate the suggested approaches' competencies, examples are provided. …”
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2468
Improvement of Low-Frequency Radiated Emission in Electric Vehicle by Numerical Analysis
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2469
Fekete-Szegö and Hankel inequalities related to the sine function
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2470
Assessment for shallow and large tunnel construction in weak ground conditions: Application of tunnel boring machines
Published 2025-03-01“…Because of the additional engineering measures taken before excavation in problematic areas, the tunnel was completed with great success within the initially planned timeframe. …”
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Analysis of Modes of Asynchronized Generator in Extra-High Voltage Power Grid
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Algorithm for Defining the Amount of Energy Transferred by Dry Saturated Steam
Published 2023-12-01Get full text
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2474
Development of Quality Information Management System for Alumina Ceramic Tube Manufacturing Process
Published 2022-01-01Get full text
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Investigations on the Innovation Model of Exergy Effectiveness of Air Conditioning System for Operating Cleanrooms
Published 2017-06-01“…The issue of fuel and energy saving is a top priority for energy technological systems (ETS) such as air conditioning systems (ACS). …”
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Algorithmic Method for Precision Enhancement of Paper Pulp Blade Consistometer
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Improving the criteria of electricity consumptionforecasting in petrochemical industrial units based ondeep learning
Published 2025-06-01“…This study presents a novel deep learning framework that integrates advanced feature engineering and Long Short-Term Memory (LSTM) networks to address the challenges posed by irregular seasonal trends and dynamic consumption patterns. …”
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