In the past decade, financial institutions have invested significant efforts in the development of accurate analytical credit scoring models. The evidence suggests that even small improvements in the accuracy of existing credit-scoring models may optimize profits while effectively managing risk...

Artificial intelligence (AI) is transforming the way businesses operate, enabling entrepreneurs to achieve diagnoses that were once only possible for large companies. This transformation is evident in digital advertising, where AI not only enables advanced analytics, but also offers the...

This study uses natural language processing (NLP) techniques to analyze the political discourse of the surprise presidential candidate, focusing on linguistic patterns, sentiment distribution, and recurring themes. This study addresses the problem of how TikTok virality and algorithmic...

The advent of artificial intelligence paradigms has contributed a great deal towards improving predictive accuracy in medicine especially in the prompt diagnosis of chronic diseases. Feature selection is crucial in refining classification models by identifying and eliminating non-informative or...

The cellular manufacturing system is an approach based on the nature of group technology that can reduce overhead costs. These systems are designed to organize machine cells and components to reduce movement between cells and enhance the efficiency of machine usage in manufacturing environments....

This study investigates the impact of competition on credit risk in the Turkish banking system, focusing on Islamic (participation) and conventional banking under the same regulatory conditions regarding credit risk. The credit risk model is trained using CatBoost, extreme gradient boosting...