The availability of digital technology in the hands of every citizenry worldwide makes an
available unprecedented massive amount of data. The capability to process these gigantic …

Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …

Stock-market prediction using machine-learning technique aims at developing effective and
efficient models that can provide a better and higher rate of prediction accuracy. Numerous …

The stock market is very unstable and volatile due to several factors such as public
sentiments, economic factors and more. Several Petabytes volumes of data are generated …

Predicting stock-price remains an important subject of discussion among financial analysts
and researchers. However, the advancement in technologies such as artificial intelligence …

As a complex hot problem in the financial field, stock trend forecasting uses a large amount
of data and many related indicators; hence it is difficult to obtain sustainable and effective …

In recent years, deep reinforcement learning (DRL) algorithm has been widely used in
algorithmic trading. Many fully automated trading systems or strategies have been built …

Skin diseases are reported to be the most common disease in humans among all age
groups and a significant root of infection in sub-Saharan Africa. The diagnosis of skin …

Forecasting stock market prices is an exciting knowledge area for investors and traders.
Successful predictions lead to high financial revenues and prevent investors from market …

Deep learning models have excelled in solving many problems in Natural Language
Processing, but are susceptible to extensive vulnerabilities. We offer a solution to this …