The exponential growth in data from technological advancements has created opportunities
across fields like healthcare, finance, and social media, but sensitive data raise security and …

Context.—Generative artificial intelligence (GAI) technologies are likely to dramatically
impact health care workflows in clinical pathology (CP). Applications in CP include …

Regulatory requirements for disclosure are often designed to advance transparency and
public welfare. Yet, firms may approach these mandates with caution. In this study, we …

Identifying the right combination of process parameters is crucial to ensure a high quality of
the manufactured products. Nevertheless, this task is not always straightforward, as it usually …

The internet and social media facilitate widespread idea sharing but also contribute to cyber-
crimes and harmful behaviors, notably the dissemination of abusive and hateful speech …

The mortality rate in the construction industry in China is comparatively greater than that of
other industries. However, the existing research on accident texts in this field is constrained …

Understanding the modus operandi of adversaries aids organizations to employ efficient
defensive strategies and share intelligence in the community. This knowledge is often …

Purpose This study introduces a novel approach to preventing construction quality problems
by examining the complex interrelations among such issues. Recognizing the overlooked …

The use of machine learning techniques to identify contributing factors in air incidents has
grown significantly, hel** to identify and prevent accidents and improve air safety. In this …

In computer vision, the task of semantic segmentation is crucial for applications such as
autonomous driving and intelligent surveillance. However, achieving a balance between …