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Predicting the Remaining Useful Life of Turbofan Engines Using Fractional Lévy Stable Motion with Long-Range Dependence for the prediction of RUL. In this study, we propose fractional Lévy stable motion for degradation modeling. First
Spatio-Temporal Coherence of mmWave/THz Channel Characteristics and Their Forecasting Using Video Frame Prediction TechniquesLSTM model allows us to accurately predict AoA and AoD angles up to the 0.6 m distance with AoA being
Multimodal Deep Regression on TikTok Content Success for accurately predicting video success. Our preliminary results demonstrate the model’s effectiveness
The first calibration and evaluation of the STICS soil-crop model on chickpea-based intercropping system under Mediterranean conditions efficiency (EF ranged from 0.62 to 0.93). In addition, grain yield was correctly predicted by the model
SIMULATION MODELS OF AGRONOMIC MANAGEMENT ON WEEDS: TO PREDICT PRODUCTIVITY WHEAT AND ECOLOGICAL HEALTHY the factors into three categories: environmental, management and measurement. Process-based simulation models
Eddington’s Prediction for General Relativity RevisitedEddington’s prediction for general relativity (GR) is exemplified by three cases: a static
Predictive age-groups modeling in a long-term perspective arguments to plan and predict future demographic situation. In this paper, this method is used to predict
Adaptive neural network system to build environmental prediction and control by their typing biometrics-based prediction and control system for the regulation of building environmental parameters and discusses
Multi-Instance Learning Approach to Predictive Modeling of Catalysts EnantioselectivityHere, we report an application of the multi-instance learning approach to predictive modeling
Sensitivity analysis of the physical parameterizations in the WRF model on the prediction accuracy of meteorological parameters quality, but it is not the main aspect in ensuring prediction accuracy. To test the WRF model
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