Knowing which factors are significant in credit rating assignment leads to better decision-
making. However, the focus of the literature thus far has been mostly on structured data, and …

This paper investigates a series of machine learning models (eg ANN, LSTM, SVR) to
predict gold prices according to traditional indices, emerging indicators, commodities, and …

Gold is a form of investment known as a safe haven asset because of its stability in unstable
market conditions. Gold price forecasting is important for investors as decisions making tool …

Gold is a rare and valuable metal as its price has attention globally. Gold price varies very
frequently, almost daily and it is in high focus by the government, investors, and …

In the Kagara region of Niger State, north-central Nigeria, an investigation was conducted
into the gold occurrence and availability of other economic-benefit associate minerals. 39 …

In this study, the performance of different deep learning algorithms to predict silver prices
was evaluated. It was focused on the use of deep learning models such as CNN, LSTM, and …

Deep neural network is the new norm in the present era, where it's being used in almost all
the evolving fields, so is the field of anomaly detection. With the modern IT infrastructure …