Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts
significant attention in professional manufacturing. This trend originates from the rising …

Tool condition monitoring (TCM) systems have evolved into an essential requirement for
contemporary manufacturing sectors of Industry 4.0. These systems employ sensors and …

The controlled interaction of work material and cutting tool is responsible for the precise
outcome of machining activity. Any deviation in cutting parameters such as speed, feed, and …

Vehicle overloading is a very common phenomenon. The overloaded vehicles not only
cause severe damage to the road/bridge and shorten its service life, but also likely lead to …

The machining process is primarily used to remove material using cutting tools. Any
variation in tool state affects the quality of a finished job and causes disturbances. So, a tool …

To reduce fuel consumption, the automotive air-conditioning (AAC) system's coefficient of
performance (COP) needs to be improved. The use of a diverse selection of hybrid …

Artificial intelligence and especially deep learning methods have achieved outstanding
results for various applications in the past few years. Pain recognition is one of them, as …

Distribution network nodes are numerous and monitoring devices are widely distributed. All
monitoring data are uploaded to the cloud master for centralized processing may cause …

Abstract The application of Machine Learning methodologies has been particularly
noteworthy and abundant in pattern and symptom recognition across various research …

Deaf students apparently experience hardship in conventional learning; however, despite
their inability to hear, nothing can stop them from reading. Although they perform …