Achieving accurate stock market models can provide investors with tools for making better
data-based decisions. These models can help traders to reduce investment risk and select …

In stock market forecasting, the identification of critical features that affect the performance of
machine learning (ML) models is crucial to achieve accurate stock price predictions. Several …

Financial Analysis has become a challenging aspect in today's world of valuable and better
investment. This paper introduces the implementation of Recurrent Neural Network (RNN) …

Landslides in mountain settlements are among the most widespread and dangerous
geohazards. In this study, we aimed to assess landslide susceptibility using Wenchuan …

This research paper investigates the use of machine learning techniques in financial
markets. The paper provides a comprehensive literature review of recent research on …

The recent success of the application of Artificial Intelligence in the financial sector has
resulted in more firms relying on stochastic models for predicting the behaviour of the …

Prediction of financial stock market is a challenging task because of its volatile and non-
linear nature. The presence of different factors like psychological, sentimental state, rational …

Portfolios, securities, stock market forecasting, risk management, debt management are all
important pillars of the financial world. These pillars rely heavily on adequate and accurate …

Prediction of stock price has been a hot topic in artificial intelligence field. Computational
intelligent methods such as machine learning or deep learning are explored in the …

Choosing the optimal portfolio is an ongoing challenging research area and a complex
process involving selecting the best investment plan according to various factors, such as …