Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Predicting the Tool Wear of a Drilling Process Using Novel Machine Learning XGBoost-SDA. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-tool-wear-of-a-drilling-process-using-novel-machine-learning-xgboost-sda
MLA“Predicting the Tool Wear of a Drilling Process Using Novel Machine Learning XGBoost-SDA.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-tool-wear-of-a-drilling-process-using-novel-machine-learning-xgboost-sda.
BibTeX@misc{4ortxyz_predicting-the-tool-wear-of-a-drilling-process-using-novel-machine-learning-xgboost-sda_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the Tool Wear of a Drilling Process Using Novel Machine Learning XGBoost-SDA}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-tool-wear-of-a-drilling-process-using-novel-machine-learning-xgboost-sda}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting the Tool Wear of a Drilling Process Using Novel Machine Learning XGBoost-SDA — https://4ort.xyz/entity/predicting-the-tool-wear-of-a-drilling-process-using-novel-machine-learning-xgboost-sda (retrieved 2026-05-24)
