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An EWS-LSTM-Based Deep Learning Early Warning System for Industrial Machine Fault Prediction
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THE POTENTIAL OF HYBRID LSTM-GENERATIVE AI ECO-MODEL IN FORECASTING FINANCIAL AND ECONOMIC INDICATORS
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Prediction of Future Chlorophyll‐a Concentrations in Large Eutrophic Shallow Lakes Under Multiple Stressors
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Analysis of the Wangping Brownfield Using a Two-Step Urban Brownfield Redevelopment Model
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Wind Turbine Fault Detection Through Autoencoder-Based Neural Network and FMSA
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“Data-based management”: prospects for implementation into the system of vocational education
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Neuroimaging and machine learning in eating disorders: a systematic review
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Triglyceride-glucose indices predict all-cause mortality after stroke in NHANES 1999–2018
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Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes
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Multimodal Collaborative Perception for Dynamic Channel Prediction in 6G V2X Networks
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Revisiting Online Algorithms: A Survey of Set Cover Solutions Beyond Competitive Analysis
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MODELING EXCHANGE RATE CHANGE BASED ON THE ANALYSIS OF FUNDAMENTAL INDICATORS
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