A comprehensive review of the fireworks algorithm
The fireworks algorithm, which is inspired from the phenomenon of fireworks explosion, is a
special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been …
special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been …
Federated intelligence of anomaly detection agent in IoTMD-enabled Diabetes Management Control System
Implantable internet of things medical devices (IoTMD) has drawn a disruptive
transformation in the healthcare domain. It has improved the services of healthcare …
transformation in the healthcare domain. It has improved the services of healthcare …
Effective exploitation of macroeconomic indicators for stock direction classification using the multimodal fusion transformer
An enormous ripple effect can occur in financial data mining if it accurately predicts stock
prices. However, predicting stock prices using only stock price data is difficult because of the …
prices. However, predicting stock prices using only stock price data is difficult because of the …
A comprehensive decision support system for stock investment decisions
The stock market is of paramount importance to modern society. Decision support in this
sense must consider multiple criteria and be able to deal with the different stages involved …
sense must consider multiple criteria and be able to deal with the different stages involved …
[PDF][PDF] A comparison of α-Sutte Indicator and ARIMA methods in renewable energy forecasting in Indonesia
AS Ahmar - Int. J. Eng. Technol, 2018 - researchgate.net
Humans in this world are very dependent on petroleum and energy. Petroleum and other
energies are a major source in supporting human life. Regarding the reduced petroleum …
energies are a major source in supporting human life. Regarding the reduced petroleum …
Investment decision support based on interval type-2 fuzzy expert system
The decision-making process on investing in financial markets is a very complex and difficult
task, mainly due to the chaotic behavior and high uncertainty in the development of the …
task, mainly due to the chaotic behavior and high uncertainty in the development of the …
[PDF][PDF] Expert system for disease risk based on lifestyle with Fuzzy Mamdani
M Mesran, M Syahrizal, S Suginam, N Kurniasih… - Int. J. Eng …, 2018 - academia.edu
The importance of health for everyone to be able to empower everything that is owned and
the environment maximally, health is closely related to healthy living. So that can be …
the environment maximally, health is closely related to healthy living. So that can be …
Stock weighted average price prediction based on feature engineering and Lightgbm model
Stock price prediction is essential yet challenging in financial markets, guiding investment
decisions for stakeholders. While traditional methods rely on technical and fundamental …
decisions for stakeholders. While traditional methods rely on technical and fundamental …
An application of hybrid models for weekly stock market index prediction: Empirical evidence from SAARC countries
The foremost aim of this research was to forecast the performance of three stock market
indices using the multilayer perceptron (MLP), recurrent neural network (RNN), and …
indices using the multilayer perceptron (MLP), recurrent neural network (RNN), and …
A fuzzy multi-criteria evaluation system for share price prediction: A tesla case study
S Hašková, P Šuleř, R Kuchár - Mathematics, 2023 - mdpi.com
The article presents the predictive capabilities of a fuzzy multi-criteria evaluation system that
operates on the basis of a non-fuzzy neural approach, but also one that is capable of …
operates on the basis of a non-fuzzy neural approach, but also one that is capable of …