This study explores the impact of the behavioral strategies of manufacturers, consumers,
recyclers, and the government on carbon emissions reduction in the whole life cycle of new …

The production of traditional music is too complicated, consuming a lot of financial and
human resources. Therefore, this paper aims to use artificial intelligence (AI) for songwriting …

Physics-Informed Machine Learning (PIML) is an emerging computing paradigm that offers a
new approach to tackle multiphysics modeling problems prevalent in the field of chemical …

Early detection of melanoma remains a daily challenge due to the increasing number of
cases and the lack of dermatologists. Thus, AI-assisted diagnosis is considered as a …

Column leaching tests are a common approach for evaluating the leaching behavior of
contaminated soil and waste materials, which are often reused for various construction …

In dentistry, there is a growing need for accurate diagnostic tools, particularly advanced
imaging techniques such as Computed Tomography (CT), Cone Beam Computed …

Machine learning (ML) models often require large volumes of data to learn a given task.
However, access and existence of training data can be difficult to acquire due to privacy …

In many practical applications, such as poker, chess, drug interdiction, cybersecurity, and
national defense, players often have adversarial stances, ie, the selfish actions of each …

Recent advances in artificial intelligence (AI), notably deep learning, have sparked
widespread curiosity with bioinformatics, particularly the challenges presented by medical …

Due to the advancements in cutting-edge generative AI algorithms, generating hyper
realistic deepfake videos has become easier for the public. This hyperrealism consequently …