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Optimization of Strawberry Supply Chain from the Perspective of Producers
Operational Streamflow Drought Forecasting for the Rhine River at Lobith Using the LSTM Deep Learning Approach
Deep learning approaches to short term traffic forecasting: Capturing the spatial temporal relation in historic traffic data
Digital Soil Mapping based on PDFs of Cone Penetration Tests and Vibro Cores using Image Processing and Machine Learning
Assessing Global Applicability of a Long Short-Term Memory (LSTM) Neural Network for Rainfall-Runoff Modelling
HiPSS-LSTM: A Hierarchical Probabilistic LSTM model for motion forecasting
Predicting the air quality by combining model simulations with machine learning
Application of Deep Learning for Spacecraft Fault Detection and Isolation
Repetition counting in videos using deep learning
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