In the realm of rotary machine maintenance, rolling bearings emerge as crucial yet
frequently vulnerable components. Ensuring their operational integrity is pivotal for the …

Passive acoustic monitoring has proven effective for broad-scale population surveys of
acoustically active species, making it a valuable tool for conserving threatened species …

This research paper introduces an innovative approach for explainable one-class time-
series classification (XOCTSC). The proposed method involves generating pseudounseen …

Local binary pattern (LBP) is an effective texture feature extraction algorithm, but sensitive to
noise. This paper proposes an improved LBP algorithm named fusion center interval …

Animal vocalization denoising is a task similar to human speech enhancement, a well-
studied field of research. In contrast to the latter, it is applied to a higher diversity of sound …

With the intelligent development of industrial production, sound monitoring technology has
been widely used to monitor the operation status of mechanical facilities, and this progress …

Seizure detection is traditionally done using video/electroencephalography monitoring, but
for out-of-hospital patients, this method is costly. In recent years, portable device to detect …

Passive acoustic monitoring (PAM) through acoustic recorder units (ARUs) shows promise
in detecting early landscape changes linked to functional and structural patterns, including …

Multi-label imbalanced classification poses a significant challenge in machine learning,
particularly evident in bioacoustics where animal sounds often co-occur, and certain sounds …