In this paper, the Red Deer algorithm (RDA), a recent population-based meta-heuristic
algorithm, is thoroughly reviewed. The RD algorithm combines the survival of the fittest …

In this study, a price prediction model for futures markets of crypto assets is presented.
Random Forest was used to study three scenarios as a function of input variables: technical …

The rapid growth of the Internet of Things (IoT) has resulted in the development of intelligent
industrial systems known as Industrial IoT (IIoT). These systems integrate smart devices …

Stock market forecasting has been incredibly hard since it necessitates in-depth knowledge
of news events, historical data analysis, as well as the influence of news on stock price …

Stock market analysis plays an indispensable role in gaining knowledge about the stock
market, developing trading strategies, and determining the intrinsic value of stocks …

Abstract Hidden Markov Model (HMM) which is frequently used in time series modeling with
satisfactory results is commonly used for predicting stock prices in many studies. Due to its …

In light of the existing challenges in capturing short-term fluctuations and achieving accurate
predictions in stock market time series data, this research presents the “Dual-Attention …

In this study, we propose a predictive model TabLSTM that combines machine learning
methods such as TabNet and Long Short-Term Memory Neural Network (LSTM) with a …

The Red Deer algorithm (RD), a contemporary population-based meta heuristic algorithm,
applications are thoroughly examined in this paper. The RD algorithm blends evolutionary …

A country product network data is a format commonly used in international trade that
analyses historical trades to create future projections. A country's economic value can be …