This study aims to comprehensively review a recently emerging multidisciplinary area
related to the application of deep learning methods in cryptocurrency research. We first …

Tool wear negatively affects machined surfaces and causes surface cracking, therefore
increasing manufacturing costs and degrading product quality. Titanium alloys, which are …

Accurately predicting tool wear is crucial for intelligent machining process monitoring,
control, and quality improvement. Recent studies on tool wear prediction predominantly …

This paper applies deep learning models to predict Bitcoin price directions and the
subsequent profitability of trading strategies based on these predictions. The study …

This study proposes a novel approach for modeling financial time series, concentrating on
data pre-processing and selecting effective features in conventional and proposed modeling …

Since the advent of Bitcoin, the cryptocurrency landscape has seen the emergence of
several virtual currencies that have quickly established their presence in the global market …

Accurate prediction of remaining useful life (RUL) of equipment has become an essential
task in manufacturing. It not only helps prevent unexpected failures but also enables …

This paper examines the relevance of sentiment in predicting overall financial system
instability using long-run short-term memory networks. Weekly data on the US financial …

There has been much interest in accurate cryptocurrency price forecast models by investors
and researchers. Deep Learning models are prominent machine learning techniques that …

As blockchain technology rapidly evolves, the demand for enhanced efficiency, security, and
scalability grows. Transformer models, as powerful deep learning architectures, have shown …