Derivative-Free Data-Enabled Optimal Tracking (DF-DeeOT) Controller for a PV Grid-Connected Inverter

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QLID-Net: A Hybrid Quantum-Classical Neural Network for Robust and Data-Efficient Smart Grid Load Identification

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Physics-Data Synergy in Structural Health Monitoring: A Multi-Scale Graph Contrastive Framework With Temperature-Adaptive Fusion

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An Efficient Algorithm for Distinguishing Triple Negative Breast Cancer with Ultrasound Image and High-dimensional Radiomics Data

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Repair as Empowerment. How a data work profession asserted its position against deskilling and automation

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MACHINE LEARNING CLASSIFICATION TECHNIQUES TO PREDICT IN SITU COMPRESSIVE STRENGTH OF REINFORCED CONCRETE USING NDT DATA

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Data-driven p-norms for estimating transmission loss coefficients in power systems

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Lightweight blockchain facilitated BIM data management for smart city operation and maintenance

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Data-driven derivation of macroscopisc fundamental diagram from floating car trajectories

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Retraction: N-Beats architecture for explainable forecasting of multi-dimensional poultry data

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MfN DataHub – a Centralized Service for Automated Biodiversity Data Integration at the Museum for Natural History Berlin

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Periodontal suturing, data on selection criteria

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What is the value of public health data?

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A Study on the Performance of Distributed Training of Data-driven CFD Simulations

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A Treasure Trove of Performance: Analyzing the IO500 Submission Data

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A Scalable Digital Twin Framework for Energy Optimization in Data Centers

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Unified Semantic-Dynamic Occupancy Grid Map for Autonomous Vehicles Using LiDAR Semantic Data and Dempster-Shafer Theory

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DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data

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