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Hybrid models and biological model reduction with PyDSTool.
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Efficient Encoding and Decoding of Voxelized Models for Machine Learning-Based Applications
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Optimizing Models and Data Denoising Algorithms for Power Load Forecasting
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Voltage Control of 3-Phase 4-Leg Multilevel Inverter with Minimum Number of Switching States
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Large Language Models are Zero-Shot Next Location Predictors
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A High‐Performance Coupled Human And Natural Systems (CHANS) Model for Flood Risk Assessment and Reduction
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Model predictive control for energy efficient AC motor drives: An overview
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Data-Driven Pavement Performance: Machine Learning-Based Predictive Models
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Development of an autoregressive neural network model for predicting accidents in the Khabarovsk Territory
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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management
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Review of Fast Computation Methods for Finite-State Predictive Control of Multi-Phase Drives
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Statistical and machine learning models for predicting university dropout and scholarship impact.
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