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Robustly stable multiestimation scheme for adaptive control and identification with model reduction issues
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A model of piston impact and vibration for internal combustion engine noise reduction
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Physics-informed machine learning for automatic model reduction in chemical reaction networks
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IterDBR: Iterative Generative Dataset Bias Reduction Framework for NLU Models
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Dietary salt reduction and cardiovascular disease rates in India: a mathematical model.
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Modality-based Modeling with Data Balancing and Dimensionality Reduction for Early Stunting Detection
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Review of Fast Computation Methods for Finite-State Predictive Control of Multi-Phase Drives
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Stability-Preserving Model Reduction and Interpolation for Vibration Optimization in Beam-like Structures
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Advancements in noise reduction for wheel speed sensing using enhanced LSTM models
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
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