{"publication":"IFAC-PapersOnLine","department":[{"_id":"153"},{"_id":"241"}],"publisher":"Elsevier BV","publication_status":"published","intvolume":"        55","date_updated":"2023-04-27T12:04:32Z","citation":{"short":"S. Koppert, C. Henke, A. Trächtler, S. Möhringer, IFAC-PapersOnLine 55 (2022) 554–560.","ama":"Koppert S, Henke C, Trächtler A, Möhringer S. Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data. <i>IFAC-PapersOnLine</i>. 2022;55(2):554-560. doi:<a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">10.1016/j.ifacol.2022.04.252</a>","apa":"Koppert, S., Henke, C., Trächtler, A., &#38; Möhringer, S. (2022). Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data. <i>IFAC-PapersOnLine</i>, <i>55</i>(2), 554–560. <a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">https://doi.org/10.1016/j.ifacol.2022.04.252</a>","mla":"Koppert, Steven, et al. “Tool Wear Monitoring of a Tree Log Bandsaw Using a Deep Convolutional Neural Network on Challenging Data.” <i>IFAC-PapersOnLine</i>, vol. 55, no. 2, Elsevier BV, 2022, pp. 554–60, doi:<a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">10.1016/j.ifacol.2022.04.252</a>.","chicago":"Koppert, Steven, Christian Henke, Ansgar Trächtler, and Stefan Möhringer. “Tool Wear Monitoring of a Tree Log Bandsaw Using a Deep Convolutional Neural Network on Challenging Data.” <i>IFAC-PapersOnLine</i> 55, no. 2 (2022): 554–60. <a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">https://doi.org/10.1016/j.ifacol.2022.04.252</a>.","ieee":"S. Koppert, C. Henke, A. Trächtler, and S. Möhringer, “Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data,” <i>IFAC-PapersOnLine</i>, vol. 55, no. 2, pp. 554–560, 2022, doi: <a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">10.1016/j.ifacol.2022.04.252</a>.","bibtex":"@article{Koppert_Henke_Trächtler_Möhringer_2022, title={Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data}, volume={55}, DOI={<a href=\"https://doi.org/10.1016/j.ifacol.2022.04.252\">10.1016/j.ifacol.2022.04.252</a>}, number={2}, journal={IFAC-PapersOnLine}, publisher={Elsevier BV}, author={Koppert, Steven and Henke, Christian and Trächtler, Ansgar and Möhringer, Stefan}, year={2022}, pages={554–560} }"},"publication_identifier":{"issn":["2405-8963"]},"quality_controlled":"1","status":"public","_id":"33982","doi":"10.1016/j.ifacol.2022.04.252","date_created":"2022-11-02T17:19:30Z","author":[{"last_name":"Koppert","full_name":"Koppert, Steven","first_name":"Steven"},{"last_name":"Henke","full_name":"Henke, Christian","first_name":"Christian"},{"first_name":"Ansgar","id":"552","last_name":"Trächtler","full_name":"Trächtler, Ansgar"},{"first_name":"Stefan","last_name":"Möhringer","full_name":"Möhringer, Stefan"}],"title":"Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data","type":"journal_article","user_id":"552","page":"554-560","year":"2022","keyword":["Control and Systems Engineering"],"language":[{"iso":"eng"}],"volume":55,"issue":"2"}