Titlebook: Smarte Innovation; Ergebnisse und neue Sabine Pfeiffer,Petra Schütt,Daniela Wühr Book 2012 VS Verlag für Sozialwissenschaften | Springer F

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Ingrid Isenhardt,Max Haberstroh,Christian Tummel,Ralph Kunze,Marina Scheiff,Eckart Hauckloited for sentiment analysis research. In view of above, the purpose of this paper is to provide a guideline for the decision of optimal pre-processing techniques and classifiers for sentiment analysis over Twitter. In this context, three well-known Twitter datasets (OMD, HCR and STS-Gold) were use

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Carola Feller,Judith Herzogis very hard for a machine to mimic this complex process. The past decade has seen significant research effort on the computational tasks that involve translation between and fusion of the two modalities of human communication, namely Vision and Language. Moreover, the unprecedented success of deep

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Karlheinz Müllerrchitecture. Even so, results demonstrated (especially under structured traffic conditions) large potential ML benefits on drone conflict prediction. Binary classification accuracy ran generally above 90%, and error under the most demanding scenarios tended toward false positive (i.e. incorrectly pr

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Innovation im Maschinenbau entlang des Produktlebenszyklus (PLC)enszyklus (PLC) zu identifizieren. Dabei bezieht sich der Begriff des Produktlebenszyklus nicht auf ein betriebswirtschaftliches Verst?ndnis, das im Grundmodell nach verschiedenen Marktphasen (Einführung, Wachstum, Reife etc.) unterscheidet. Bezugspunkt ist vielmehr ein – im STEP-Standard so auch ad