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What is ATM Cash Demand Prediction Survey about?

This document provides an abstract and literature review on automated teller machine (ATM) cash demand analysis and prediction in the financial sector. Specifically: - It discusses how predicting and managing cash levels in ATMs is important for banks to meet customer demand and reduce costs. Machine learning methods like recurrent neural networks and time series models have been applied for prediction. - The literature review summarizes several past studies that used techniques like LSTM, ARIMA, cluster

Author

Rohan Polekar

Language

EN