Artificial intelligence (AI)-based diagnostic systems provide less error-prone and safer
support to clinicians, enhancing the medical decision-making process. This study presents a …

The accuracy of predicting Consumer Price Index (CPI) in West African economies is a
complex issue influenced by various factors, including COVID-19 and ongoing Russia …

The present study makes two significant contributions to the extended body of literature in
the context of International Finance. First, it forecasts the inflation in an emerging economy …

One of the issues addressed by machine learning, with applications in various disciplines or
fields such as the health sector and the agricultural sector among others, involves data …

This paper focuses on improving the accuracy of headline inflation forecasts in Thailand. By
evaluating the performance of deep learning models, time series forecasting models, and …

The use of algorithm-agnostic approaches is an emerging area of research for explaining
the contribution of individual features towards the predicted outcome. Whilst there is a focus …

Wetlands are integral components of agricultural landscapes, providing a wide range of
ecological, economic, and social benefits essential for sustainable development and rural …

Explaining and forecasting inflation are important and challenging tasks because inflation is
one focus of macroeconomics. This paper introduces novel investor attention to the field of …

Given the high inflationary pressure in Romania, the aim of this paper is to demonstrate the
potential of autoregressive distributed lag (ARDL) models incorporating sentiment analysis …

China's constantly rapid economic growth accompanying by a low overall inflation has long
been mysterious in macroeconomics. The core purpose of this paper is to solve this puzzle …