Abstract: This paper presents a study on the prediction of cargo volumes in 57 logistics sorting centers using the ARIMA-LSTM forecasting algorithm. The primary objective is to forecast the volume of ...
Abstract: In recent years, the utilization of deep learning technology for fruit yield prediction methods using robot dogs equipped with cameras, along with target detection and tracking algorithms, ...
ABSTRACT: This paper presents a theoretical framework for parallelizing the FD3 algorithm, which estimates the capacity, information, and correlation dimensions of chaotic time series using the ...
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