Allergic diseases are increasing around the world with unprecedented complexity and
severity. One of the reasons is that genetically modified crops produce new potentially …

A comparative experiment on machine learning (ML)-based pedestrian trajectory prediction
was conducted in this study. The study was aimed at improving functional capabilities …

In November 2019, the coronavirus disease outbreak began, caused by the novel severe
acute respiratory syndrome coronavirus 2. In just over two months, the unprecedented rapid …

People are admitted to intensive care units (ICUs) because they need complete support for
failing organ systems, constant monitoring, routine nursing care, and treatment. A critical or …

Sepsis can be a source of morbidity and mortality and early identification may improve
antimicrobial treatment time. At the project site, sepsis was not being recognized in a timely …

The main goal of this paper is to estimate the vehicle dynamic by image and radar fusion
through a deep learning model. In the designed deep learning model, multiple convolutional …

Taking into account the current feature extraction speed and recognition effect of intelligent
diagnosis of menopausal women's health care behavior, this paper proposes to use a cross …