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MILLING FORCE MODELING BASED ON EQUIVALENT TURNING FORCE AND OBLIQUE CUTTING FORCE MODEL (MT)
Published 2023-01-01Get full text
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2164
Early Prediction of Remaining Useful Life for Lithium-Ion Batteries with the State Space Model
Published 2024-12-01“…To reduce the complexity and improve the accuracy and applicability of early RUL predictions for LIBs, we proposed a Mamba-based state space model for early RUL prediction. …”
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2165
A Deformation Prediction Model for Concrete Dams Based on RSA-VMD-AttLSTM
Published 2025-01-01“…This paper presents a deformation prediction model for concrete dams that integrates a reptile search algorithm (RSA), a Variational Mode Decomposition (VMD) algorithm, and a long short-term memory network model with attention mechanism (AttLSTM). …”
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An Analytical Model for Predicting the Stress Distributions within Single-Lap Adhesively Bonded Beams
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Link stability metric based on mobility prediction model in mobile ad hoc networks
Published 2007-01-01Get full text
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Bayesian Estimation and Prediction of Inverse Power Lomax Model Under Censored Data With Applications
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Prediction of Income of Rural Residents Based on Markov Model under the Background of Rural Revitalization
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Prediction of groundwater level Sharif Abad catchment of Qom using WANN and GP models
Published 2016-09-01Get full text
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Prediction Model of 30-Days Postoperative Pneumonia in Elderly Patient Undergoing Abdominal Surgery
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A Model for Predicting IoT User Behavior Based on Bayesian Learning and Neural Networks
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Polymer Property Prediction Model for an Industrial Two-Stage Ethylene-Propylene Copolymerization Reactor
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Prediction of Vegetable Supply in Henan Province Based on PSO-GM (1, N) Model
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Based on the Prediction of Future Drought Evolution in Heilongjiang Province under the CMIP6 Model
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Link Prediction Model for Weighted Networks Based on Evidence Theory and the Influence of Common Neighbours
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Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model
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Prediction of the Stock Prices at Uganda Securities Exchange Using the Exponential Ornstein–Uhlenbeck Model
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Prediction of Pyrolysis Kinetics of Biomass: New Insights from Artificial Intelligence-Based Modeling
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