This study presents a comprehensive review of the potential of multimodal deep learning
(DL) in medical diagnosis, using COVID-19 as a case example. Motivated by the success of …

In response to the call for implementing national waste classification, this paper proposes an
intelligent waste classification system based on the improved MobileNetV3-Large, which …

The global spread of SARS-CoV-2 has prompted a crucial need for accurate medical
diagnosis, particularly in the respiratory system. Current diagnostic methods heavily rely on …

The challenge of automatically repairing bugs in programs to reduce debugging expenses
and increase program quality is known as automated program repair. To overcome this …

Healthcare is a topic of significant concern within the academic and business sectors. The
COVID-19 pandemic has had a considerable effect on the health of people worldwide. The …

In the context of sustainable economic development, while economic globalization brings
new vitality to the company, it also makes the company face an increasingly severe external …

In today's rapidly evolving business landscape, organizations must continuously adapt to
stay competitive. AI-driven human resource (HR) analytics has emerged as a strategic tool to …

In disease question answering system, question text has some characteristics of diverse
expression forms, close semantic connection and uneven distribution of key features. These …

In today's rapidly evolving business landscape, organizations must continuously adapt to
stay competitive. AI-driven human resource (HR) analytics has emerged as a strategic tool to …

The rapid adoption of telemedicine has transformed healthcare delivery, especially during
the COVID-19 pandemic. This digital shift has enabled medical professionals to offer …