%0 Journal Article %1 abdou2023smart %A Abdou, Kirolos %A Mohammed, Osama %A Eskandar, George Basem Fouad %A Ibrahim, Amgad %A Matt, Paul-Amaury %A Huber, Marco %D 2023 %I Springer %J Journal of intelligent manufacturing %K f2023 hybrid mult oa oafonds transform ubs_10005 ubs_10007 ubs_20007 ubs_20008 ubs_20011 ubs_30077 ubs_30104 ubs_30223 ubs_40334 ubs_40377 unibibliografie wos %P 1-17 %R 10.1007/s10845-023-02179-0 %T Smart nesting : estimating geometrical compatibility in the nesting problem using graph neural networks

@article{abdou2023smart, added-at = {2023-12-15T16:12:15.000+0100}, affiliation = {Abdou, K (Corresponding Author), TRUMPF Werkzeugmaschinen SE Co KG, Res \& Dev, Ditzingen, Germany. Abdou, K (Corresponding Author), Univ Stuttgart, Inst Ind Mfg \& Management IFF, Stuttgart, Germany. Abdou, Kirolos; Ibrahim, Amgad, TRUMPF Werkzeugmaschinen SE Co KG, Res \& Dev, Ditzingen, Germany. Mohammed, Osama; Eskandar, George, Univ Stuttgart, Inst Signal Proc \& Syst Theory ISS, Stuttgart, Germany. Matt, Paul-Amaury; Huber, Marco F., Fraunhofer Inst Mfg Engn \& Automation IPA, Stuttgart, Germany. Abdou, Kirolos; Huber, Marco F., Univ Stuttgart, Inst Ind Mfg \& Management IFF, Stuttgart, Germany.}, author = {Abdou, Kirolos and Mohammed, Osama and Eskandar, George Basem Fouad and Ibrahim, Amgad and Matt, Paul-Amaury and Huber, Marco}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28de6e0d66b7d4491b1653bc5bf27e6af/unibiblio}, doi = {10.1007/s10845-023-02179-0}, interhash = {79aec7d8134a5146da9fb91798730227}, intrahash = {8de6e0d66b7d4491b1653bc5bf27e6af}, issn = {{0956-5515} and {1572-8145}}, journal = {Journal of intelligent manufacturing}, keywords = {f2023 hybrid mult oa oafonds transform ubs_10005 ubs_10007 ubs_20007 ubs_20008 ubs_20011 ubs_30077 ubs_30104 ubs_30223 ubs_40334 ubs_40377 unibibliografie wos}, language = {eng}, pages = {1-17}, publisher = {Springer}, pubstate = {prepublished}, research-areas = {Computer Science; Engineering}, timestamp = {2023-12-19T17:35:07.000+0100}, title = {Smart nesting : estimating geometrical compatibility in the nesting problem using graph neural networks}, unique-id = {WOS:001033670600001}, year = 2023 }