Background The study of depression and anxiety using publicly available social media data
is a research activity that has grown considerably over the past decade. The discussion …

Early disease detection is often correlated with a reduction in mortality rate and improved
prognosis. Currently, techniques like biopsy and imaging that are used to screen chronic …

As the workshop of the world, China is building regional innovation spaces based on
intelligent manufacturing and green economy to promote the transformation, upgrading and …

Objective To evaluate the accuracy of convolutional neural networks technique (CNN) in
detecting keratoconus using colour-coded corneal maps obtained by a Scheimpflug camera …

The segmentation of neoplasms is an important part of radiotherapy treatment planning,
monitoring disease progression, and predicting patient outcome. In the brain, functional …

Objective: A stable and accurate automatic tumor delineation method has been developed
to facilitate the intelligent design of lung cancer radiotherapy process. The purpose of this …

The increasingly frequent sand‐dust weather in the inland areas seriously affects outdoor
vision applications, especially autonomous vehicles and security monitoring. To moderate …

The growing body of creativity research involves Artificial Intelligence (AI) and Machine
learning (ML) approaches to automatically evaluating creative solutions. However …

Synchronisation/cooperation between manipulators is a specified emerging application in
the field of robotics. However, most of the synchronisation works are reported using rigid …

Accurate and timely forecasting of critical components is pivotal in intelligent transportation
systems and traffic management, crucially mitigating congestion and enhancing safety. This …