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Advanced DFE, MLD, and RDE Equalization Techniques for Enhanced 5G mm-Wave A-RoF Performance at 60 GHz
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Machine learning-based seismic response forecasting using feature mapping algorithms and scientometric analysis of nailed vertical excavation in a soil mass
Published 2025-12-01“…Laboratory studies revealed that the critical acceleration was increased by 32% on the inclusion of nails of reinforcement length to excavation height ratio (L/H) to 0.6, and by 17% when the (L/H) was increased from 0.6 to 0.8. The research was focussed on the incorporation of ML techniques for effective data processing and modeling algorithms to extract data. …”
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Research on the Injection Mold Design and Molding Process Parameter Optimization of a Car Door Inner Panel
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Research on Real-Time Control Strategy of Air-Conditioning Water System Based on Model Predictive Control
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Research on Underwater Small Target Detection Technology Based on Single-Stage USSTD-YOLOv8n
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Research Progress on State of Charge Estimation Methods for Power Batteries in New Energy Intelligent Connected Vehicles
Published 2025-04-01“…To address these challenges, this study systematically classifies existing SOC estimation algorithms, performs comparative analyses of their computational complexity and accuracy, and identifies the inherent limitations within each category. …”
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Research on Soft-Sensing Method Based on Adam-FCNN Inversion in <i>Pichia pastoris</i> Fermentation
Published 2025-06-01Get full text
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Research on Multi-Channel Spectral Prediction Model for Printed Matter Based on HMSSA-BP Neural Network
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Real-world assessment of healthcare provided by the National Health Service: The network of regional Beaver research platforms
Published 2018-06-01“…The use of standardized and validated algorithms enables to obtain regional estimates that, being obtained by employing regional platforms containing data extracted with standardized procedure, may be compared and possibly summarized by using common meta-analytic techniques. …”
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Scoring of swine lung images: a comparison between a computer vision system and human evaluators
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