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: This research work introduces a clustering-based in-place sorting algorithm, cluster sort. It is designed in such a way that it improves sorting efficiency by using data locality. It works ...
We describe a concrete device roadmap towards a fault-tolerant quantum computing architecture based on noise-resilient, topologically protected Majorana-based qubits. Our roadmap encompasses four ...
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