This paper proposes to model chaos in the automated teller machine (ATM) cash withdrawal
time series of a large Indian commercial bank and forecast the withdrawals using deep …

This article is devoted to the applications of machine learning methods for solving
optimization problems in the banking sector. The literature analysis on the application of …

Some widely-accepted practices on banking ATM networks may negatively affect efficient
liquidity management. This paper analyses ATM cash management in light of empirical …

This study aims to test the forecasting accuracy of recently implemented econometric tools
as compared to the forecasting accuracy of widely used traditional models when predicting …

One of the problems related to the banking system is Automated Teller Machine (ATM) cash
demand forecasting. If an ATM faces a shortage of cash, it will face the decline of bank …

This research concentrates on segmenting credit card clients of Taiwan into optimal groups.
Unsupervised Learning plays a significant role in dividing customers into similar groups …

The problem of forecasting time series is very widely debated. In recent years, machine
learning algorithms have been very prolific in this area. This paper describes a systematic …

Cash management optimization is one of the most essential tasks for any bank, because it
helps save a significant amount of money by reducing the cost of ATMs funding and …

This paper proposes to model chaos in the ATM cash withdrawal time series of a big Indian
bank and forecast the withdrawals using deep learning methods. It also considers the …

Image segmentation is a wide area for researching, and in many applications, segmentation
is applied for finding the distinct group in the feature space. It separates the data into …