The rapid advancements in artificial intelligence (AI) have unleashed a wave of
transformative technologies, and one area that has witnessed significant progress is AI …

In recent years, the rapid development of deep learning has led to a wide range of
applications in the field of medical image classification. The variants of neural network …

The prompt and accurate identification of the causes of pneumonia is necessary to
implement rapid treatment and preventative approaches, reduce the burden of infections …

Chest X-ray imaging plays a vital and indispensable role in the diagnosis of lungs, enabling
healthcare professionals to swiftly and accurately identify lung abnormalities. Deep learning …

Background: To solve the cluster analysis better, we propose a new method based on the
chaotic particle swarm optimization (CPSO) algorithm. Methods: In order to enhance the …

Steel structures are susceptible to corrosion due to their exposure to the environment.
Currently used non-destructive techniques require inspector involvement. Inaccessibility of …

Unmanned systems play a pivotal role in military surveillance, critical infrastructure
protection, law enforcement, search and rescue operations, and border security, showcasing …

Purpose To develop a multimodal deep transfer learning (DTL) fusion model using optical
coherence tomography angiography (OCTA) images to predict the recurrence of retinal vein …

There are many optimization algorithms to help BIA. Hajieskandar et al.(2020) use hybrid
neural networks and a grey wolf algorithm. Lu et al.(2020) propose a diagnosis system …

Nowadays, machine learning tools and, in particular, classification methods are often used
to diagnose COVID-19 cases. However, these methods use a single view of the dataset and …