Pemetaan Penelitian Seputar Risiko Kredit pada Perbankan Syariah dan Konvensional: Studi Bibliometrik VOSviewer dan Literature Review
EWH Budianto - BANCO: Jurnal Manajemen Dan Perbankan …, 2023 - ejurnal.iainpare.ac.id
This study aims to determine the development of research around credit risk in Islamic and
Conventional Financial Institutions. The research was conducted from 1975 to 2022, by …
Conventional Financial Institutions. The research was conducted from 1975 to 2022, by …
Research Mapping on Credit Risk in Islamic and Conventional Banking
EWH Budianto - AL-INFAQ: Jurnal Ekonomi Islam, 2023 - jurnalfai-uikabogor.org
This study aims to determine the development of research around credit risk in Islamic and
Conventional Financial Institutions. The research was conducted from 1975 to 2022 by …
Conventional Financial Institutions. The research was conducted from 1975 to 2022 by …
A comprehensive empirical study of bias mitigation methods for machine learning classifiers
Software bias is an increasingly important operational concern for software engineers. We
present a large-scale, comprehensive empirical study of 17 representative bias mitigation …
present a large-scale, comprehensive empirical study of 17 representative bias mitigation …
Explainable causal variational autoencoders based equivariant graph neural networks for analyzing the consumer purchase behavior in E-commerce
M Gandhudi, PJA Alphonse, V Velayudham… - … Applications of Artificial …, 2024 - Elsevier
As the usage of e-commerce is growing rapidly, it is significant to analyze the features or
attributes that influence the consumer purchase behavior in E-commerce. This study …
attributes that influence the consumer purchase behavior in E-commerce. This study …
Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review
Heat exchangers are widely used in different chemical industries and energy systems.
Among different types of heat exchangers, shell and tube heat exchangers are among the …
Among different types of heat exchangers, shell and tube heat exchangers are among the …
A machine learning technique for detection of social media fake news
The emergence of the Internet and the growing development of online platforms (like
Facebook and Instagram) opened the way for disseminating information that hasn't been …
Facebook and Instagram) opened the way for disseminating information that hasn't been …
Enhancing particulate matter risk assessment with novel machine learning-driven toxicity threshold prediction
I Jairi, A Rekbi, S Ben-Othman, S Hammadi… - … Applications of Artificial …, 2025 - Elsevier
Airborne particulate matter (PM) poses significant health risks, necessitating accurate toxicity
threshold determination for effective risk assessment. This study introduces a novel machine …
threshold determination for effective risk assessment. This study introduces a novel machine …
[PDF][PDF] Classification of customer churn prediction model for telecommunication industry using analysis of variance
R Babatunde, SO Abdulsalam, OA Abdulsalam… - IAES Int J Artif …, 2023 - academia.edu
Customer predictive analytics has shown great potential for effective churn models. Thriving
in today's telecommunications industry, discerning between consumers who are likely to …
in today's telecommunications industry, discerning between consumers who are likely to …
Machine Learning in Banking Risk Management-A Brief Overview
The use of computer-based intelligence in business applications is growing. There have
been numerous arrangements previously executed, and numerous more are being …
been numerous arrangements previously executed, and numerous more are being …
A smote-based churn prediction system using machine learning techniques
A Dhanawade, B Mahapatra… - 2023 1st DMIHER …, 2023 - ieeexplore.ieee.org
Customer churn is the occurrence in which consumers stop utilizing a company's products or
services. It is critical for businesses since it has a direct influence on revenue and long-term …
services. It is critical for businesses since it has a direct influence on revenue and long-term …