Lee, Kok-Meng, Huang, Yang, Ji, Jingjing, and Lin, Chun-Yeon. An Online Tool Temperature Monitoring Method Based on Physics-Guided Infrared Image Features and Artificial Neural Network for Dry Cutting. Retrieved from https://par.nsf.gov/biblio/10095031. IEEE Transactions on Automation Science and Engineering 15.4 Web. doi:10.1109/TASE.2018.2826362.

Lee, Kok-Meng, Huang, Yang, Ji, Jingjing, & Lin, Chun-Yeon. An Online Tool Temperature Monitoring Method Based on Physics-Guided Infrared Image Features and Artificial Neural Network for Dry Cutting. IEEE Transactions on Automation Science and Engineering, 15 (4). Retrieved from https://par.nsf.gov/biblio/10095031. https://doi.org/10.1109/TASE.2018.2826362

Lee, Kok-Meng, Huang, Yang, Ji, Jingjing, and Lin, Chun-Yeon. "An Online Tool Temperature Monitoring Method Based on Physics-Guided Infrared Image Features and Artificial Neural Network for Dry Cutting". IEEE Transactions on Automation Science and Engineering 15 (4). Country unknown/Code not available. https://doi.org/10.1109/TASE.2018.2826362. https://par.nsf.gov/biblio/10095031.

@article{osti_10095031,
place = {Country unknown/Code not available}, title = {An Online Tool Temperature Monitoring Method Based on Physics-Guided Infrared Image Features and Artificial Neural Network for Dry Cutting}, url = {https://par.nsf.gov/biblio/10095031}, DOI = {10.1109/TASE.2018.2826362}, abstractNote = {}, journal = {IEEE Transactions on Automation Science and Engineering}, volume = {15}, number = {4}, author = {Lee, Kok-Meng and Huang, Yang and Ji, Jingjing and Lin, Chun-Yeon}, }