This paper presents a sound recognition method for white feather broilers using
spectrogram features and a fusion classification model, with the goal of achieving accurate …

Raw material testing is of great significance to guarantee the reliability of bearing ring
production. Traditional testing methods such as spark identification are unable to run online …

When to block the taphole is a concern in blast furnace ironmaking process. Currently, the
blocking time of the taphole mainly depends on expertise, causing poor reliability of the …

Nondestructive examination of bearing steel raw material is a crucial step in ensuring the
production of bearing rings. Traditional nondestructive examination methods struggle with …

Recognizing flow patterns is essential for understanding two-phase flow phenomena,
applicable to various fields such as liquid/gas mixtures, refrigeration, convective boiling, and …

One of the major causes of interruption in distribution power lines is the vegetation
encroachment. The vegetation management is challenging and demands efforts in trimming …

During the operation of HP steel furnace tubes, structural deterioration occurs due to
carburization mechanisms. Herein, machine learning models were employed to detect …

Metal identification is a crucial task in the scrap recycling process. some metal workshops
may lack the resources to invest in sophisticated metal identification tools. To address this …

En el estudio se presenta un enfoque novedoso para determinar el contenido de carbono
en el acero A36 mediante el análisis de imágenes metalográficas utilizando la biblioteca …