From AlphaGo to ChatGPT, the field of AI has launched a series of remarkable
achievements in recent years. Analyzing, comparing, and summarizing these achievements …

In clinical scenarios, the two subfields of Artificial Intelligence (AI), ie, Machine Learning (ML)
and Deep Learning (DL) methods have become the de facto standard in several domains of …

A major challenge in artificial intelligence based ECG diagnosis lies that it is difficult to
obtain sufficient annotated training samples for each rhythm type, especially for rare …

Accurate fault diagnosis of rolling bearing under variable working conditions can ensure that
the rotating machinery run in a safety, reliable and efficient way. In this paper, we propose …

Deep transfer learning has become increasingly prevalent in various fields such as industry
and medical science in recent years. To ensure the successful implementation of target …

Considering the changing working conditions of rotating machinery in operation, it is often
difficult to collect data accurately in some severe fault states, and the lack of data can lead to …

Ground-armored weapons have a high detection value in military operations. Satellite
synthetic aperture radar (SAR) cannot accurately detect military targets with meter-level …

Background Diagnostic errors have become the biggest threat to the safety of patients in
primary health care. General practitioners, as the “gatekeepers” of primary health care, have …

Meta-learning has recently been an emerging data-efficient learning technique for various
medical imaging operations and has helped advance contemporary deep learning models …

Efficient image recognition is important in crop and forest management. However, it faces
many challenges, such as the large number of plant species and diseases, the variability of …