Fast fashion is a commonly adopted strategy in fashion retailing. Under fast fashion,
operational decisions have to be made with a tight schedule and the corresponding …

Prediction of currency exchange rate becomes highly desirable due to its greater role in
financial and managerial decision making process. The fluctuations in exchange rate affect …

Financial market predictions represent a complex problem. Most prediction systems work
with the term time window, which is represented by exchange rate values of a real financial …

Any discussion on exchange rate movements and forecasting should include explanatory
variables from both the current account and the capital account of the balance of payments …

The currency market is one of the most efficient markets, making it very difficult to predict
future prices. Several studies have sought to develop more accurate models to predict the …

Purpose The present paper aims to conduct a comprehensive scientific mapping of
exchange rate forecasting, highlighting trends, developments, and methodological changes …

Designing prediction-based auto-scaling systems for cloud computing is an attractive topic
for scientists today. However, there are many barriers, which must be solved before applying …

Forecasting financial time series, such as stock price indices, is a complex process. This is
because financial time series are usually quite noisy and involve ambiguous seasonal …

Datasets with outliers can be predicted with robust learning methods or robust artificial
neural networks. In robust artificial neural networks, the architectures become robust by …

Purpose The purpose of this paper is to propose a comprehensive version of a hybrid
autoregressive integrated moving average (ARIMA), and artificial neural networks (ANNs) in …