The development of machine learning for cardiac care is severely hampered by privacy restrictions on sharing real patient electrocardiogram (ECG) data. Although generative AI offers a promising ...

Abstract: Metallic materials such as brass, copper, and aluminum are used in numerous applications, including industrial manufacturing. The vibration characteristics of these objects are unique and ...

Abstract: Bearing faults are a leading cause of failure in mechanical systems, underscoring the need for efficient and reliable diagnostic methods. Although deep learning has shown promise in this ...