In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …

Chronic obstructive pulmonary disease (COPD) is a prevalent respiratory disease and ranks
third in global mortality rates, imposing a significant burden on patients and society. This …

Automated machine learning (AutoML) is a young research area aiming at making high-
performance machine learning techniques accessible to a broad set of users. This is …

The influence of acoustic anisotropy on ultrasonic testing reliability poses a challenge in
evaluating products from additive technologies (AT). This study investigates how elasticity …

Automatic analysis of medical images using machine learning techniques has gained
significant importance over the years. A large number of approaches have been proposed …

In this paper, we propose a method to reduce the model architecture searching time. We
consider MobileNetV2 for 3D face recognition tasks as a case study and introducing the …

Problem: The problem of the finalized exploration revolved around the inadequacy of current
traffic forecasting models. Despite decades of examination in many fields, existing …

Membrane fouling poses a significant challenge to the sustainable development of
membrane bioreactor (MBR) technologies for wastewater treatment. The accurate prediction …

Synthetic Aperture Radar (SAR) is renowned for its all-weather and all-time imaging
capabilities, making it invaluable for ship target recognition. Despite the advancements in …

Over the past decade, the use of biometrics in security systems and other applications has
grown in popularity. ECG signals in particular are attracting increased attention due to their …