Background: X-rays imaging is one of the possible method for detecting COVID19. Our
research aimed to construct a model using deep learning for detecting COVID-19 …

Liver diagnosis at an early stage is essential for enhanced handling. Precise classification is
required for automatic recognition of disease from data samples (utilizing data mining for …

Artificial intelligence (AI) is an area of computer science that emphasizes the creation of
intelligent machines or software that work and reacts like humans, some of the computer …

Throughout this research, imposing the training of an Artificial Neural Network (ANN) to play
tic-tac-toe bored game, by training the ANN to play the tic-tac-toe logic using the set of …

there is a critical need to identify transactional risks in financial institutions for the purpose of
improving customer experience and minimizing financial loss. This current study compares …

Brain-related diseases are among the most difficult diseases due to their sensitivity, the
difficulty of performing operations, and their high costs. In contrast, the operation is not …

Artificial intelligence (AI), deep learning, machine learning and neural networks represent
extremely exciting and powerful machine learning-based techniques used to solve many …

The major challenge in managing blood products lies in the uncertainty of blood demand
and supply, with a trade-off between shortage and wastage, especially in most develo** …

Automatic detection of diseases and anatomical landmarks in medical images by the use of
computers is important and considered a challenging process that could help medical …

Artificial Intelligence (AI) is revolutionizing the agricultural sector by enhancing productivity
and sustainability. This paper explores the transformative impact of AI technologies on …