Given a large number of applications and complex processing procedures, how to efficiently
shift and schedule tax officers to provide good services to taxpayers is now receiving more …

In accordance with the Sustainable Development Goals, the exponential expansion of
machine learning (ML) and artificial intelligence (AI) presents an excellent chance to build …

As Machine Learning (ML) models achieve unprecedented levels of performance, the XAI
domain aims at making these models understandable by presenting end-users with …

The escalating frequency and intensity of heat-related climate events, particularly
heatwaves, emphasize the pressing need for advanced heat risk management strategies …

The ozone concentration at ground level is a pivotal indicator of air quality, as elevated
ozone levels can lead to adverse effects on the environment. In this study various machine …

The increasing complexity of machine learning models used in environmental studies
necessitates robust tools for transparency and interpretability. This paper systematically …

Reinforcement learning (RL) has evolved rapidly in the past decade and is now capable of
achieving human capabilities, such as self-driving cars. Moreover, in the last few years, the …

Financial information transparency is vital for the various users of financial statements. This
study employs the Explainable Artificial Intelligence (XAI) approach, utilizing eXtreme …

Accurate air quality analysis is essential for comprehending the reasons for and
consequences of air pollution, which is a serious environmental concern. Understanding the …