Users' privacy is vulnerable at all stages of the deep learning process. Sensitive information
of users may be disclosed during data collection, during training, or even after releasing the …

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 stock market has performed one of the most important functions in a laissez-faire
economic system by gathering people, companies, and flows of money for several centuries …

The future is unknown and uncertain, but there are ways to predict future events and reap
the rewards safely. One such opportunity is the application of machine learning and artificial …

Building information modeling (BIM) is a modern data information platform and management
tool that promotes the development of green buildings. In Pakistan, the building sector …

Rice Husk ash (RHA) utilization in concrete as a waste material can contribute to the
formation of a robust cementitious matrix with utmost properties. The strength of HPC when …

In this research, the mean monthly groundwater level with a range of 3.78 m in Qoşaçay
plain, Iran, is forecast. Regarding three different layers of gated recurrent unit (GRU) …

Forecasting the behavior of the stock market is a classic but difficult topic, one that has
attracted the interest of both economists and computer scientists. Over the course of the last …

Due to the highly volatile and fluctuating nature of the Indian stock market which is
influenced by a number of factors including government policies, release of a company's …

The financial sector has greatly impacted the monetary well-being of consumers, traders,
and financial institutions. In the current era, artificial intelligence is redefining the limits of the …