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2020 | A Step towards Explainable Artificial Neural Networks in Image Processing by Dataset Assessment Heide, Nina Felicitas; Albrecht, Alexander; Heizmann, Michael | Konferenzbeitrag |
2020 | A toy model study for long-term terror event time series prediction with CNN Jain, Aishvarya Kumar; Grumber, Christian; Gelhausen, Patrick; Häring, Ivo; Stolz, Alexander | Zeitschriftenaufsatz |
2018 | Benchmark of Spatio-temporal Shortest-Term Wind Power Forecast Models Vogt, S.; Braun, A.; Koch, J.; Jost, D.; Dobschinski, J. | Konferenzbeitrag |
2018 | Data-driven fatigue crack quantification and prognosis using nonlinear ultrasonic modulation Lim, Hyung Jin; Sohn, Hoon; Kim, Yongtak | Zeitschriftenaufsatz |
2018 | Smart self-sufficient wireless current sensor Hennig, Andreas; Gembaczka, Pierre; Cousin, Linda; Grabmaier, Anton | Konferenzbeitrag |
2017 | Determination of working states of the rotating cutting assembly in forage harvesters by artificial neural networks Walther, Christian; Wenzel, Andreas; Beneke, Frank; Hensel, Oliver; Huster, Jochen | Zeitschriftenaufsatz |
2016 | Inverse image modeling for defect detection and optical system characterization Xu, Dongbo : Erdmann, Andreas | Dissertation |
2016 | Machine-specific Approach for Automatic Classification of Cutting Process Efficiency Walther, Christian; Beneke, F.; Merbach, L.; Siebald, H.; Hensel, O.; Huster, J. | Konferenzbeitrag |
2015 | Machine-specific approach for automatic classification of cutting process efficiency Walther, Christian; Beneke, F.; Merbach, L.; Siebald, H.; Hensel, O.; Huster, J. | Konferenzbeitrag |
2014 | Earthquake early warning for transport lines Hilbring, D.; Titzschkau, T.; Buchmann, A.; Bonn, G.; Wenzel, F.; Hohnecker, E. | Zeitschriftenaufsatz |
2014 | Reducing the computational effort of optimal process controllers for continuous state spaces by using incremental learning and post-decision state formulations Senn, M.; Link, N.; Pollak, J.; Lee, J.H. | Zeitschriftenaufsatz |
2010 | An estimation method for determining cyclic material properties for structural durability design according to the local strain approach Dsoki, C. el; Kaufmann, H.; Tomasella, A. | Konferenzbeitrag |
2010 | Performance, accuracy, power consumption and resource utilization analysis for hardware / software realized artificial neural networks Braga, A.L.; Llanos, C.H.; Göhringer, D.; Obie, J.; Becker, J.; Hübner, M. | Konferenzbeitrag |
2004 | Neuroinformatik Kernchen, R. | Zeitschriftenaufsatz |
2002 | Intelligent-memory architecture for artificial neural networks Büddefeld, J.; Großpietsch, K.-E. | Zeitschriftenaufsatz |
2000 | Order management for semiconductor manufacturing Schmidt, T.; Wiendahl, H.-H.; Westkämper, E. | Konferenzbeitrag |
2000 | Order management for semiconductor manufacturing - a new approach realized with artificial neural networks Sihn, W.; Pirron, J.; Schmidt, T.; Wiendahl, H.-H.; Mußbach-Winter, U. | Konferenzbeitrag |
2000 | Order Management for Semiconductor Manufacturing - a new Approach Realized with Artificial Neural Networks Pirron, J.; Schmidt, T.; Wiendahl, H.-H. | Konferenzbeitrag |
2000 | Order management with artificial neural networks for semiconductor manufacturing Wiendahl, H.-H.; Schmidt, T.; Westkämper, E. | Konferenzbeitrag |
1998 | Simulation based on learning methods Westkämper, E.; Pirron, J.; Schmidt, T. | Zeitschriftenaufsatz |
1998 | Simulation Based Production Planning Through Artificial Neural Networks Westkämper, E.; Pirron, J.; Schmidt, T. | Konferenzbeitrag |
1997 | Kapazitätsgeprüfte Lieferterminbestimmung mit künstlichen neuronalen Netzwerken in Echtzeit Westkämper, E.; Schmidt, T.; Lickefett, M.; Dudenhausen, H.-M. | Zeitschriftenaufsatz |
1997 | Kapazitätsgeprüfte Prognose von Lieferterminen mit Hilfe von künstlichen neuronalen Netzwerken am Beispiel der Halbleiterindustrie Schmidt, T.; Dudenhausen, H.-M.; Pirron, J. | Konferenzbeitrag |
1997 | Prognose von Vorgabezeiten mit Neuronalen Netzen für variantenreiche Kleinserienprodukte Westkämper, E.; Weber, M.; Frank, G. | Zeitschriftenaufsatz |
1996 | An artificial neural net based rise time reduction for chemical sensors Endres, Hanns-Erik; Göttler, Wolfgang; Hartinger, Ralf; Drost, Stephan | Konferenzbeitrag |
1996 | Modelling the Grinding Process with Regression Models and Artificial Neural Networks Lange, D.; Schmidt, T.; Westkämper, E. | Zeitschriftenaufsatz |
1996 | A thin film SnO2-sensor system for the simultaneous detection of CO and NO2 with neural signal evaluation Endres, H.-E.; Göttler, W.; Hartinger, R.; Drost, S.; Hellmich, W.; Müller, G.; Bosch von Braunmühl, C.; Krenkow, A.; Perego, C.; Sberveglieri, G. | Konferenzbeitrag |
1995 | Improvements in signal evaluation techniques for semiconductor gas sensors Endres, H.-E.; Göttler, W.; Jander, H.D.; Drost, S.; Sberveglieri, G.; Faglia, G.; Perego, C. | Konferenzbeitrag |
1994 | A systematic investigation on the use of time dependant sensor signals in pattern recognition techniques Endres, H.-E.; Göttler, W.; Jander, H.D.; Drost, S.; Sberveglieri, G.; Faglia, G.; Perego, C. | Konferenzbeitrag |
1993 | Interactive neural network texture analysis and visualization for surface reconstruction in medical imaging Busch, C.; Groß, M. | Konferenzbeitrag |
1992 | The analysis of remotely sensed data with neural networks Saradeth, S.; Groß, M.; Stork, A. | Konferenzbeitrag |
1991 | Entwurf und Simulation künstlicher neuronaler Netze Büddefeld, J.; Hosticka, B.J.; Richert, P.; Scholles, M. | Konferenzbeitrag |