Browsing by Subject "Machine learning"

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  • Fahle, Simon; Kuhlenkötter, Bernd (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2020)
    Data-driven analytical approaches such as machine learning bear great potential for increasing productivity in industrial applications. The primary requirement for using those approaches is data. The challenge is to not ...
  • Setyawati, Yoshinta Eka (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2021-09-29)
    The first direct gravitational wave detection by LIGO and Virgo in 2015 marked the beginning of the gravitational wave astronomy era. Gravitational waves are an excellent tool to prove general relativity and unveil compact ...
  • Büschenfeld, Torsten; Ostermann, Jörn (Göttingen : Copernicus GmbH, 2012)
    In this paper, we present a method for automatic refinement of training data. Many classifiers from machine learning used in applications in the remote sensing domain, rely on previously labelled training data. This labelling ...
  • Ntoutsi, Erini; Fafalios, Pavlos; Gadiraju, Ujwal; Iosifidis, Vasileios; Nejdl, Wolfgang; Vidal, Maria-Esther; Ruggieri, Salvatore; Turini, Franco; Papadopoulos, Symeon; Krasanakis, Emmanouil; Kompatsiaris, Ioannis; Kinder-Kurlanda, Katharina; Wagner, Claudia; Karimi, Fariba; Fernandez, Miriam; Alani, Harith; Berendt, Bettina; Kruegel, Tina; Heinze, Christian; Broelemann, Klaus; Kasneci, Gjergji; Tiropanis, Thanassis; Staab, Steffen (Hoboken, NJ : Wiley-Blackwell, 2020)
    Artificial Intelligence (AI)-based systems are widely employed nowadays to make decisions that have far-reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing ...
  • Vogt, Karsten; Paul, A.; Ostermann, Jörn; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2017)
    Supervised machine learning needs high quality, densely sampled and labelled training data. Transfer learning (TL) techniques have been devised to reduce this dependency by adapting classifiers trained on different, but ...
  • Sester, Monika; Feng, Yu; Thiemann, Frank (Göttingen : Copernicus GmbH, 2018)
    Cartographic generalization is a problem, which poses interesting challenges to automation. Whereas plenty of algorithms have been developed for the different sub-problems of generalization (e.g. simplification, displacement, ...
  • Panzer, Marcel; Bender, Benedict; Gronau, Norbert (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2021)
    Increasingly fast development cycles and individualized products pose major challenges for today's smart production systems in times of industry 4.0. The systems must be flexible and continuously adapt to changing conditions ...
  • Kramer, Kathrin Julia; Rokoss, Alexander; Schmidt, Matthias (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2021)
    The field of machine learning (ML) is of specific interest for production companies as it displays a perspective to handle the increased complexity within their production planning and control (PPC) processes in an ...
  • Conte Alcaraz, Javier; Moghaddamnia, Sanam; Peissig, Jürgen (Heidelberg : Springer, 2021)
    Reliability and user compliance of the applied sensor system are two key issues of digital healthcare and biomedical informatics. For gait assessment applications, accurate joint angle measurements are important. Inertial ...
  • Golestani, Hossein; Meuel, Holger; Voges, Jan; Laude, Thorsten; Erfurt, Johannes; Lim, Wang; Schwarz, Heiko; Marpe, Detlev; Wiegand, Thomas; Genser, Nils; Seiler, Jürgen; Kaup, André; Munderloh, Marco; Dedjouong, Armel; Bahlau, Sascha; Klemt-Albert, Katharina; Ostermann, Jörn; Samayoa, Yasser; Purushothaman, Suraja Koottachiara Nikarth (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2018-07-18)
    Extended Proceedings 4th Summer School on Video Compression and Processing (SVCP) 2018
  • Schuh, Günther; Hicking, Jan; Stroh, Max-Ferdinand; Benning, Justus; Gnanaraj, Clinton (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2021)
    Keeping up to date with the latest technology trends is crucial task for manufacturing companies to remain successful on a globally competitive market. Designing a technology radar is an established, yet mostly manual, ...
  • Neunzig, Christian; Fahle, Simon; Kuhlenkötter, Bernd; Möller, Matthias (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2021)
    The increasing availability of manufacturing data and advanced analysis tools are forcing the demand for data-driven approaches to improve the quality of workpieces and the efficiency of manufacturing processes. The ...
  • Dietz, Armin; Pösch, Andreas; Reithmeier, Eduard (Bellingham, WA : SPIE - International Society for Optical Engineering, 2018)
    The number of health-care associated infections is increasing worldwide. Hand hygiene has been identified as one of the most crucial measures to prevent bacteria from spreading. However, compliance with recommended procedures ...
  • Schuh, Günther; Scholz, Paul; Portik, Johannes (Hannover : publish-Ing., 2022)
    Over the past six decades, many companies have discovered the potential of computer-controlled systems in the manufacturing industry. Overall, digitization can be identified as one of the main drivers of cost reduction in ...
  • Feuerhake, Udo; Wage, O.; Sester, M.; Tempelmeier, N.; Nejdl, W.; Demidova, E. (London : International Society for Photogrammetry and Remote Sensing, 2018)
    Accurate predictions of the characteristics of urban streets in particular with respect to the typical traffic situations are crucial for numerous real world applications such as navigation, scheduling of logistic and ...
  • Uttendorf, Sarah; Overmeyer, Ludger (Paris : Atlantis Press, 2015)
    Path-finding algorithms (PFA) are successfully used to find the optimal path between two locations. Good results are obtained if they are used in scenarios where the entire environment can be described mathematically. ...
  • Denkena, Berend; Dittrich, Marc-Andre; Stamm, Siebo Claas; Prasanthan, Vannila (Amsterdam : Elsevier B.V., 2019)
    Nowadays, high flexibility and responsiveness towards capacity adjustments are key to successful production planning and control in manufacturing. Moreover, many companies – especially job shops – have to deal with short-term ...
  • Diaz-Aviles, Ernesto (Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2013)
    [no abstract]
  • Brüning, J.; Denkena, Berend; Dittrich, Marc-André; Hocke, T. (Amsterdam : Elsevier, 2017)
    Automated Fiber Placement (AFP) processes are commonly deployed in manufacturing of lightweight structures made of carbon fibre reinforced polymer. In general, AFP is connected to individual manufacturing knowledge during ...
  • Jourdan, Nicolas; Longard, Lukas; Biegel, Tobias; Metternich, Joachim (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2021)
    The advent of artificial intelligence and machine learning is influencing the manufacturing industry profoundly, enabling unprecedented opportunities to improve manufacturing processes within the three dimensions time, ...