Artificial intelligence (AI) represents a rapidly developing field. Its use can improve diagnosis
and therapy in many areas of medicine. Despite this enormous progress, many physicians …

Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …

In this research, we propose a variant of the Bare-Bones Particle Swarm Optimization
(BBPSO) algorithm for hyper-parameter selection and deep architecture generation for …

Walking ability of elderly individuals, who suffer from walking difficulties, is limited, which
restricts their mobility independence. The physical health and well-being of the elderly …

During energy transition, where sustainability and environmental protection are increasingly
prioritized, ensuring safety in coal exploitation remains a critical issue, especially in the …

Early identification of respiratory irregularities is critical for improving lung health and
reducing global mortality rates. The analysis of respiratory sounds plays a significant role in …

Listening to lung sounds using a stethoscope is still one of the most important methods to
diagnose respiratory diseases. These sounds are complex and challenging to diagnose, as …

肺部疾病对人类健康和生命安全有重大的影响, 肺部出现异常是肺部疾病的直接反应,
对肺音的研究在临床诊断中有重要的意义. 随着电子听诊技术的不断发展 …

Abstract The Self-Supervised Audio Spectrogram Transformer (SSAST) has recently been
verified as the state-of-the-art model in various audio and speech command classification …

The COVID-19 virus is increasingly crucial to human health since new variants appear
frequently. Detection of COVID-19 through respiratory sound has been an important area of …