This systematic literature review analyses the recent advances of machine learning and
deep learning in finance. The study considers six financial domains: stock markets, portfolio …

The emergence of cryptocurrencies has drawn significant investment capital in recent years
with an exponential increase in market capitalization and trade volume. However, the …

Over the past few years, Bitcoin price prediction has been changed to a big challenge for
investors on cryptocurrencies. In this regard, Neural Networks as a strong structure for …

Despite various approaches proposed to smooth the hyperspectral images (HSIs) before
feature extraction, the efficacy is still affected by the noise, even using the corrected dataset …

With the continuous development of financial markets worldwide to tackle rapid changes
such as climate change and global warming, there has been increasing recognition of the …

Cryptocurrency price forecasting is attracting considerable interest due to its crucial decision
support role in investment strategies. Large fluctuations in non-stationary cryptocurrency …

The current study uses the grey forecasting model, EGM (1, 1, α, θ), a generalized form of
the classical, even form of grey forecasting approach, to forecast the closing price of Bitcoin …

In recent years, digital currencies have flourished on a considerable scale, and the markets
of digital currencies have generated a nonnegligible impact on the whole financial system …

Digital technology developments shape the behaviour, performances, standards of society,
organizations and individuals imposing new ways of payments and new forms of money. In …

Numerous variables are involved in determining the market capitalization and price of
cryptocurrencies. So, It is impossible to ignore the feedback of each variable on the other …