Stock market is a significant element of economic market. Accurate forecasting of stock
market is very helpful to shareholders because future prediction of a stock value will elevate …

This study examines factors influencing patients' adoption of the IoT for e-Health
Management System (e-HMS). A conceptual framework is built by applying the Unified …

Stock price prediction is one of the major challenges for investors who participate in the
stock markets. Therefore, different methods have been explored by practitioners and …

The unpredictability and volatility of the stock market render it challenging to make a
substantial profit using any generalised scheme. Many previous studies tried different …

Forecasting the price of cryptocurrencies is a notoriously hard and significant problem, due
to the rapid market growth and high volatility. In this article, we propose a methodology for …

Market analyzers use different parameters as features in the market data to analyze the
market trends. The feature's values act as a signal to market fluctuations. Many studies have …

The precise forecasting of stock prices is not possible because of the complexity and
uncertainty of stock. The effectual model is needed for the triumphant assessment of …

Deep learning with small and big data of symmetric volatility information for predicting daily
accuracy improvement of JKII prices | Emerald Insight Books and journals Case studies …

Stock market prediction is a vital task with high attention for gaining attractive profits with
proper decisions to invest. Predicting the stock market is becoming a major challenge …

Machine learning techniques have become attractive due to their robustness and superiority
in predicting future behaviour in various areas. This paper is aimed to predict future stock …