Firstly, unsteady numerical simulations driven by linear changes in back pressure were carried out, and the dataset for model training and validation was obtained to verify the feasibility of time sequence prediction of the cascade flow field. The verification results indicate that the framework can ...
Summary of open source code for deep learning models in the field of traffic prediction open-sourcedeep-learningtrafficon-demandon-demand-servicespatio-temporalgraph-convolutional-networkstraffic-predictiontrajectory-predictiontime-series-predictionspatio-temporal-predictiontraffic-flow-predictiongraph-neural-networ...
Typically, the FTP task is defined as a multivariable time sequence forecasting problem considering current aircraft states and other operational and environmental factors. In terms of prediction horizons, the FTP task can be classified into short-term and long-term prediction tasks18. Short-term ...
Firstly, the current process of researching ROP prediction and optimization is offline, meaning that model training and optimization are based on historical data collection. Such models cannot provide guidance for on-site operations. Secondly, drilling sequences contain a wealth of information, such as...
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model. - ddz16/TSFpaper
Although diabetes mellitus is a complex and pervasive disease, most studies to date have focused on individual features, rather than considering the complexities of multivariate, multi-instance, and time-series data. In this study, we developed a novel diabetes prediction model that incorporates these...
The development of deep learning technology has brought great improvements to the field of time series forecasting. Short sequence time-series forecasting no longer satisfies the current research community, and long-term future prediction is becoming the hotspot, which is noted as long sequence time-...
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Typically, the FTP task is defined as a multivariable time sequence forecasting problem considering current aircraft states and other operational and environmental factors. In terms of prediction horizons, the FTP task can be classified into short-term and long-term prediction tasks18. Short-term ...
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model. - AmiBuch/TSFpaper_suslab