Systematic review of financial distress identification using artificial intelligence methods
The study presents a systematic review of 232 studies on various aspects of the use of
artificial intelligence methods for identification of financial distress (such as bankruptcy or …
artificial intelligence methods for identification of financial distress (such as bankruptcy or …
HDPM: an effective heart disease prediction model for a clinical decision support system
Heart disease, one of the major causes of mortality worldwide, can be mitigated by early
heart disease diagnosis. A clinical decision support system (CDSS) can be used to …
heart disease diagnosis. A clinical decision support system (CDSS) can be used to …
[PDF][PDF] Remaining financially healthy and competitive: The role of financial predictors.
Financial ratios play an important role in revealing corporate financial soundness, a role
which helps to maintain the competitive position of an enterprise, with the achievement of …
which helps to maintain the competitive position of an enterprise, with the achievement of …
Improving electric energy consumption prediction using CNN and Bi-LSTM
The electric energy consumption prediction (EECP) is an essential and complex task in
intelligent power management system. EECP plays a significant role in drawing up a …
intelligent power management system. EECP plays a significant role in drawing up a …
Deep learning approach for short-term stock trends prediction based on two-stream gated recurrent unit network
Financial news has been proven to be a crucial factor which causes fluctuations in stock
prices. However, previous studies heavily relied on analyzing shallow features and ignored …
prices. However, previous studies heavily relied on analyzing shallow features and ignored …
A novel framework for trash classification using deep transfer learning
Nowadays, society is growing and crowded, the construction of automatic smart waste sorter
machine utilizing the intelligent sensors is important and necessary. To build this system …
machine utilizing the intelligent sensors is important and necessary. To build this system …
Hybrid prediction model for type 2 diabetes and hypertension using DBSCAN-based outlier detection, synthetic minority over sampling technique (SMOTE), and …
As the risk of diseases diabetes and hypertension increases, machine learning algorithms
are being utilized to improve early stage diagnosis. This study proposes a Hybrid Prediction …
are being utilized to improve early stage diagnosis. This study proposes a Hybrid Prediction …
Bankruptcy prediction using deep learning approach based on borderline SMOTE
S Smiti, M Soui - Information Systems Frontiers, 2020 - Springer
Imbalanced classification on bankruptcy prediction is considered as one of the most
important topics in financial institutions. In this context, various statistical and artificial …
important topics in financial institutions. In this context, various statistical and artificial …
Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers
Y Zelenkov, N Volodarskiy - Expert Systems with Applications, 2021 - Elsevier
The goal of the paper is to develop a new algorithm for predicting whether the company will
go bankrupt on the base of unbalanced data. To do it, we propose to consider the …
go bankrupt on the base of unbalanced data. To do it, we propose to consider the …
A heart disease prediction model based on feature optimization and smote-Xgboost algorithm
J Yang, J Guan - Information, 2022 - mdpi.com
In today's world, heart disease is the leading cause of death globally. Researchers have
proposed various methods aimed at improving the accuracy and efficiency of the clinical …
proposed various methods aimed at improving the accuracy and efficiency of the clinical …