Due to the highly volatile and fluctuating nature of the Indian stock market which is
influenced by a number of factors including government policies, release of a company's …

Background COVID-19 poses a severe threat to global human health, especially the USA,
Brazil, and India cases continue to increase dynamically, which has a far-reaching impact on …

Accurate electricity demand forecasts that account for impacts of extreme weather events are
needed to inform electric grid operation and utility resource planning, as well as to enhance …

Real-world data streams pose a unique challenge to the implementation of machine
learning (ML) models and data analysis. A notable problem that has been introduced by the …

In terms of asset size, the banking system constitutes 83% of the financial markets in Turkiye.
Given the importance of the banking system in the Turkish capital market, this study offers a …

In order to enhance the restoration capability of the distribution system during emergency
conditions, a resiliency-driven critical load restoration strategy is propounded in this paper …

This paper explores the use of clustering models of stocks to improve both (a) the prediction
of stock prices and (b) the returns of trading algorithms. We cluster stocks using k-means …

Tourism managers and practitioners rely on accurate demand forecasting and well-informed
management guidance. Given the pandemic's consequences on tourism, future analysis in …

Abstract In Cloud Computing, the virtual machine scheduling in datacenters becomes
challenging when trying to optimize user-service requirements and, at the same time …

Predicting product sales of large retail companies is a challenging task considering volatile
nature of trends, seasonalities, events as well as unknown factors such as market …