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Treffer: 71
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Monographie
Evolutionary computation in stochastic environments
Christian Schmidt
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Monographie
GLEAM - General Learning Evolutionary Algorithm and Method : ein Evolutionärer Algorithmus und seine Anwendungen
Christian Blume, Wilfried Jakob
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Monographie
Lademanagement für Elektrofahrzeuge
Sarah Katharina Detzler
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Sammelband
Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020
Horst Schulte, Frank Hoffmann, Ralf Mikut (eds.)
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Monographie
AI and IoT Meet Mobile Machines: Towards a Smart Working Site
Yusheng Xiang
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Sammelband
Proceedings – 30. Workshop Computational Intelligence : Berlin, 26. – 27. November 2020
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Monographie
An Update Algorithm for Restricted Random Walk Clusters
Markus Franke
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Sammelband
Proceedings. 24. Workshop Computational Intelligence, Dortmund, 27. - 28. November 2014
E. Hüllermeier, Frank Hoffmann (eds.)
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Sammelband
Proceedings. 25. Workshop Computational Intelligence, Dortmund, 26. - 27. November 2015
E. Hüllermeier, Frank Hoffmann (eds.)
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Monographie
Efficient Algorithms for Large-Scale Image Analysis
Jan Wassenberg
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Sammelband
Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017
Ralf Mikut, E. Hüllermeier, Frank Hoffmann (eds.)
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Sammelband
Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. November 2016
Ralf Mikut, E. Hüllermeier, Frank Hoffmann (eds.)
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Monographie
Permanente Optimierung dynamischer Probleme der Fertigungssteuerung unter Einbeziehung von Benutzerinteraktionen
Todor Dimitrov
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Monographie
Erkennung menschlicher Aktivitäten durch Erfassung und Analyse von Bewegungstrajektorien
Kristine Back
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Monographie
Dynamics of Evolution and Learning
Ingo Paenke
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Monographie
Belief State Planning for Autonomous Driving: Planning with Interaction, Uncertain Prediction and Uncertain Perception
Constantin Hubmann
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Monographie
Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs
Limeng Wang
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Sammelband
Proceedings. 23. Workshop Computational Intelligence, Dortmund, 5. - 6. Dezember 2013
E. Hüllermeier, Frank Hoffmann (eds.)
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Monographie
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Stefan Scheubner
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Monographie
Die Tagesschau-App und die Notwendigkeit der Schaffung eines "Intermedienkollisionsrechts"
Thomas Vesting
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Sammelband
Bereichsethiken im interdisziplinären Dialog
Matthias Maring (ed.)
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Sammelband
Proceedings - 34. Workshop Computational Intelligence: Berlin, 21.-22. November 2024
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Monographie
Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion
Sebastian Bullinger
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Monographie
CAE - PROCESS AND NETWORK : A methodology for continuous product validation process based on network of various digital simulation methods
Gagan Syal
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Monographie
Self-Calibration of Multi-Camera Systems for Vehicle Surround Sensing
Moritz Knorr
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Monographie
A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation : A Translational Study to Guide Ablation Therapy
Jorge Patricio Sánchez Arciniegas
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Monographie
Computer assisted optimization of cardiac resynchronization therapy
Raz Miri
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Monographie
Adaptive State × Time Lattices: A Contribution to Mobile Robot Motion Planning in Unstructured Dynamic Environments
Janko Petereit
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Monographie
MIMO OFDM Radar-Communication System with Mutual Interference Cancellation
Yoke Leen Sit
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Monographie
Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
Adam Thor Thorgeirsson
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Sammelband
Proceedings – 33. Workshop Computational Intelligence: Berlin, 23.-24. November 2023
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Monographie
Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation
Johannes Rabe
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Monographie
Temperature- and Time-Dependent Dielectric Measurements and Modelling on Curing of Polymer Composites
Dhidik Prastiyanto
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Sammelband
Computational Methods in Science and Engineering : Proceedings of the Workshop SimLabs@KIT, November 29 - 30, 2010, Karlsruhe, Germany
Frank Schmitz, Olaf Schneider, Ole Kirner, Gevorg Poghosyan, Ivan Kondov (eds.)
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Monographie
Decentralized Energy Systems, Market Integration, Optimization
Wolf Fichtner, Dogan Keles, Valentin Bertsch, Marian Hayn, Manuel Ruppert, Hans Schermeyer, Philipp Ringler
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Monographie
Moving Object Detection and Segmentation for Remote Aerial Video Surveillance
Michael Teutsch
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Monographie
Verbesserung der Prozesskette zur Herstellung mikrostrukturierter Linsen für automobile Scheinwerfer
Dennis Zimmermann
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Monographie
Optimierung der Investitions- und Einsatzplanung dezentraler Energiesysteme unter Unsicherheit
Hannes Schwarz
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Monographie
André Domhardt
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Monographie
Energieoptimale Längsführung von Kraftfahrzeugen durch Einsatz vorausschauender Fahrstrategien
Tobias Radke
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Monographie
Tourenplanung mit alternativen Lieferperioden und Teillieferungen
Heiko Breier
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Monographie
Effiziente Schätzung dichter Bewegungsvektorfelder unter Berücksichtigung der Epipolargeometrie zwischen unterschiedlichen Ansichten einer Szene
Bernd Kitt
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Monographie
Verfahren zur automatischen Spektralanalyse für die Optimierung drahtloser Kommunikation und Sensorik
Christian Weber
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Monographie
Einfluss atmosphärischer Umgebungsbedingungen auf den Lebenszyklus konvektiver Zellen in der Echtzeit-Vorhersage
Jannik Wilhelm
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Monographie
Microstructure generation and micromechanical modeling of sheet molding compound composites
Johannes Görthofer
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Monographie
Kooperative Regelungskonzepte auf Basis der Spieltheorie und deren Anwendung auf Fahrerassistenzsysteme
Michael Flad
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Monographie
Konvolutionäre neuronale Netze in der industriellen Bildverarbeitung und Robotik
Norbert Mitschke
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Monographie
Driver Behavior Analysis and Decision-Making for Autonomous Driving at Non-Signalized Inner City Intersections
Hannes Weinreuter
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Least-Squares-Based Construction Algorithm for Oblique and Mixed Regression Trees
Martin Kohlhase, Marvin Schöne
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Sabine Gütgemann, Christopher Schwäbig, Harun Cetinkaya, Josh Perske
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Bernhard G. Zagar, Dinah Brandner, Marco Gierlinger
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Simulation of Synthetically DegradedTracking Data to Benchmark MOT Metrics
Ralf Mikut, Katharina Löffler, Michael Hartmann
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Fast and comprehensive FPGA based BLOB analysis with the Hybrid-BLOB concept
Michael Heizmann, Michael Stelzl, Simon Wezstein
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Thomas Bartz-Beielstein, Sowmya Chandrasekaran
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Optimal human labelling for anomaly detection in industrial inspection
Juergen Beyerer, Pascal Birnstill, Ziyan Pan, Tim Zander
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Characterisation of materials in the millimeterwave frequency region for industrialapplications
Jasmin Klimek, Christian Krebs, Dirk Nüssler, Matthias Demming
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Deep learning and active learning based semantic segmentation of 3D CT data
Ulf Hassler, Markus Michen
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An overview of implementing Multispectral Imaging coupled with machine learning for the assessment of microbiological quality and authenticity in foods
George-John Nychas, Fady Mohareb, Yimin Zhang, Jens Michael Carstensen, Nette Schultz, Lemonia-Christina Fengou, Anastasia Lytou
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Multi-Seed Region Growing Algorithmfor Medical Image Segmentation
Bernhard G. Zagar, Dinah Brandner, Marco Gierlinger
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Simulation Model Calibration for ConditionMonitoring
Thomas Bartz-Beielstein, Aleksandr Subbotin
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THz imaging for recycling of black plastics
Nils Pohl, Dirk Nüssler, Thomas Geibig, Stefan Reible, Andries Küter
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Inline battery foil inspection using strobedPhotometric Stereo
Ernst Bodenstorfer, Bernhard Blaschitz, Christian Kapeller
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A new criterion for Latin hypercube optimization
Oliver Nelles, Timm J. Peter
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Concentration determination for sorting
applications using dual energy X-ray
transmission imaging
Normann Uhlmann, Alexander Ennen, Julija Lucic, Markus Firsching
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Non-destructive determination of grape berrysugar concentration using visible/near infraredimaging and possible impact on wine quality
Christian Negara, Kai-Uwe Vieth, Maximilian Freund, Zrinka Bockaj, Magali Lafontaine
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Automated image-based parameter optimization for single-pulse laser drilling
Andreas Michalowski, Peter Reimann, Axel Fehrenbacher, Andreas Jahn, Ömer Can, Lukas Schneller, Mathias Hug, Manuel Klaiber
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Beitrag zur robusten Parameterschätzung - Iteratively reweighted least squares revisited
Bastian Erdnüss
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Employing NIR-SWIR hyperspectral imaging
to predict the smokiness of scotch whisky
Huimin Zhao, Stephen Marshall, Frances Jack, Jinchang Ren, Julius Tschannerl
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Detection and classification of heterogeneous materials as well as small particles using NIR-spectroscopy by validation of algorithms
Alexander Feil, Xiaozheng Chen