Review of tool condition monitoring in machining and opportunities for deep learning

By Gokberk Serin, Batihan Sener, A. Ozbayoglu, H. O. Unver. The International Journal of Advanced Manufacturing Technology, 2020

313 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/b6a6b8818934a62a42e5f4b2eed8d083de290d54

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Mohammad Mustafa Taye

Citations in the corpus

• Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions (2023, background): “There are a plethora of deep learning (DL) libraries and tools [59] that provide these fundamental utilities, as well as numerous pre-trained models and other crucial features for DL model construction and development.”