Gerald Koinig
31 - 39 out of 39Page size: 10
Research output
- Published
Deep learning approaches for classification of copper-containing metal scrap in recycling processes
Koinig, G., Kuhn, N. E., Fink, T., Lorber, B., Radmann, Y., Martinelli, W. & Tischberger-Aldrian, A., 24 Oct 2024, In: Waste management. 190.2024, 15 December, p. 520-530 11 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Assessment of Technological Developments in Data Analytics for Sensor-Based and Robot Sorting Plants Based on Maturity Levels to Improve Austrian Waste Sorting Plants
Friedrich, K., Fritz, T., Koinig, G., Pomberger, R. & Vollprecht, D., 23 Aug 2021, In: Sustainability. 13.2021, 16, 15 p., 9472.Research output: Contribution to journal › Article › Research › peer-review
- Published
Statistical modelling of sensor-based sorting processes
Friedrich, K., Koinig, G., Pomberger, R. & Vollprecht, D., 15 Oct 2021, Sardina Symposium 2021 Conference Proceedings. EUROWASTE Srl (ed.).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Challenges to Increase Plastic Sorting Efficiency
Friedrich, K., Koinig, G., Tschiggerl, K., Pomberger, R. & Vollprecht, D., 8 Oct 2021, In: International Journal on Engineering Technologies and Informatics. 2021, Volume 2 Issue 4, p. 114-118 5 p.Research output: Contribution to journal › Article › Research › peer-review
- E-pub ahead of print
Qualitative analysis of post-consumer and post-industrial waste via near-infrared, visual and induction identification with experimental sensor-based sorting setup
Friedrich, K., Koinig, G., Pomberger, R. & Vollprecht, D., 2 Apr 2022, (E-pub ahead of print) In: MethodsX. 9.2022, 32 p., 101686.Research output: Contribution to journal › Article › Research › peer-review
- Published
Sensor-based and Robot Sorting Processes and their Role in Achieving European Recycling Goals - A Review
Friedrich, K., Koinig, G., Fritz, T., Pomberger, R. & Vollprecht, D., 14 Feb 2022, In: Academic Journal of Polymer Science. 5.2022, 4, 18 p., 555670.Research output: Contribution to journal › Editorial › peer-review
- Published
Feasibility Study for Finding Mathematical Approaches to Describe the Optimal Operation Point of Sensor-Based Sorting Machines for Plastic Waste
Friedrich, K., Kuhn, N. E., Pomberger, R. & Koinig, G., 30 Oct 2023, In: Polymers. 15.2023, 21, 18 p., 4266.Research output: Contribution to journal › Article › Research › peer-review
- E-pub ahead of print
Der optimale Betriebspunkt in der sensorgestützten Sortierung
Friedrich, K., Pomberger, R. & Koinig, G., 20 Nov 2023, (E-pub ahead of print) In: Österreichische Wasser- und Abfallwirtschaft : ÖWAW . 77.2024, February, p. 26-31 6 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Ermöglichung einer Echtzeitklassifikation von Mehrkomponentenkunststofffolien mittels maschinellen Lernens und der Reduktion spektraler Komponenten
Fink, T., Kuhn, N. E., Tischberger-Aldrian, A. & Koinig, G., Feb 2024, Tagungsband 13. WISSENSCHAFTSKONGRESS Kreislauf- und Ressourcenwirtschaft. p. 227-231 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
