The concepts of the smart city and the Internet of Things (IoT) have been facilitating the
rollout of medical devices and systems to capture valuable information of humanity. A lot of …

The study focuses on news category prediction and investigates the performance of
sentence embedding of four transformer models (BERT, RoBERTa, MPNet, and T5) and …

New business models underpinned by new standards of openness, flexibility, and agility are
arising in the banking sector. Therefore, banks have to establish new strategies to keep and …

Graph Convolutional Networks (GCNs) have received considerable attention in the field of
artificial machine intelligence (AMI) and natural language processing research because they …

Virtual cloud environment and data center for providing online ideological and political
guidance for universities is designed and analyzed in this research. Various research …

Due to the timeliness and short life cycle of news, the postrelease prediction is limited, and
the prerelease prediction also faces huge challenges due to the diversity and difficulty of …

The study in this thesis enhances information checking algorithm challenges, such as CAD
drawings comliance checking which is time-consuming and error-prone, by focusing on the …

Online news platforms have gained huge popularity for online news reading. The topic
categories of news are very important for these platforms to target user interests and make …