It will be beneficial to devise an effective approach for short-term macroeconomic
forecasting. Existing traditional statistics-based macroeconomic forecasting mainly focuses …

Forecasting directional movement of stock price using machine learning tools has attracted
a considerable amount of research. Two of the most common input features in a directional …

Bacterial resistance to antibiotics has been rapidly increasing, resulting in low antibiotic
effectiveness even treating common infections. The presence of resistant pathogens in …

Deep learning has recently resulted in remarkable performance improvements in machine
fault diagnosis using only raw input vibration signals without signal preprocessing. However …

Inflation growth in Indonesia and other countries impacts the currency value and investors'
purchasing power, particularly in the transportation sector. This research explores the impact …

The emergence of e-commerce platforms, especially online grocery shop**, is heightened
by the COVID-19 pandemic. Filipino consumers started to adapt online due to the strict …

Abstract Machine learning has found applications across a range of commercial enterprises.
One of the exciting industries impacted by AI has been civil engineering. The aim of this …

Linkages across different asset classes and relationships of innovative financial products
such as cryptocurrencies and global macroeconomic events have made price and return …

In the complex landscape of financial markets, accurately predicting Exchange-Traded Fund
(ETF) price movements requires advanced methodologies. This research introduces a …

This study focuses on predicting and estimating possible stock assets in a favorable real-
time scenario for financial markets without the involvement of outside brokers about …