Mehmet Kayakuş

Dados Biográficos

ID6586160
NOMEMehmet Kayakuş
PRENOMESMehmet
SOBRENOMEKayakuş
ASSINATURAKAYAKUŞ M
AFILIAÇÕESAkdeniz University
ORCID0000-0003-0394-5862
VERIFICADOSim
TOTAL DE OBRAS5
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2020
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0

  • Sentiment and Thematic Analysis of Social Media Discourse for Child Trafficking Crimes

    Open AccessAyten Kaya Kılıç, Kerime Bademli̇ et al.ARTICLEDeviant Behavior2026

    The study aimed to examine the sentiment and thematic structure of social discourse on child trafficking through the Jeffrey Epstein case on the X platform. The research method involved 50,000 tweets with the highest engagement posted about Jeffrey Epstein investigation on the X platform that were analyzed using sentiment analysis and topic modeling techniques. In the findings, Document publication and public debates (54.25%), political and globa…

  • Predicting Life Expectancy in Upper‐Middle‐Income Countries Using Machine Learning

    Open AccessEsra Süzen, Mehmet KayakuşARTICLESustainable Development2026

    This study aims to estimate life expectancy in upper‐middle‐income countries using socio‐economic and health‐related variables obtained from the World Bank's World Development Indicators database. To this end, four machine learning algorithms—Support Vector Regression (SVR), Random Forest, Gradient Boosting, and XGBoost—were applied; the models were compared using the 10‐fold cross‐validation method, employing the R 2 , RMSE, and MAE metrics. The…

  • Predicting Turkey's Sustainable Development Performance Using Machine Learning

    Open AccessMehmet Kayakuş, Can AkkayaARTICLESustainable Development2026Referências: 6

    This study examines how machine learning techniques can be used to predict Turkey's national sustainability performance in a comprehensive and data‐driven manner. Sustainable development is a multidimensional concept shaped by economic, social, environmental, and technological factors, making its assessment challenging through traditional analytical methods. Using official national and international data covering the period 2000–2022, this study …

  • Prediction of Financial Soundness Index for Viability in the European Banking System Using Machine Learning

    Open AccessFiliz Yetiz, Ayşegül Ciğer et al.ARTICLESAGE Open2025

    This study aims to predict financial soundness for sustainability of European banking system using machine learning techniques. A sustainable banking system ensures the efficient use of economic resources, manages risks in a balanced manner, and contributes to long-term financial stability and economic continuity both at the sectoral and national levels. In this context, this study constructs a banking soundness index based on the financial sound…

  • Estimation the Number of Visitor of E-Commerce Website by Artificial Neural Networks During Covid19 in Turkey

    Open AccessMehmet Kayakuş, Mehmet Çevik et al.ARTICLEJournal of Turkish Studies2020

    Developments in the field of internet technology affect human life in every way and cause their daily lives to positively change over time. One of the conveniences and positive effects provided by the internet has been e-commerce technology that has brought a new perspective to commerce and shopping for both the operator and client. Thanks to e-commerce, people can shop online by using websites and mobile applications, without needing to pay atte…