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Treffer: 206
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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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Sammelband
Proceedings – 30. Workshop Computational Intelligence : Berlin, 26. – 27. November 2020
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Monographie
Image registration between MRI and spot mammograms for X-ray guided stereotactic breast biopsy
Sarah Said
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Sammelband
Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018
Ralf Mikut, Eyke Hüllermeier, Frank Hoffmann (eds.)
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Monographie
Reconstruction from Spatio-Spectrally Coded Multispectral Light Fields
Maximilian Schambach
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Monographie
Intelligentes Gesamtmaschinenmanagement für elektrische Antriebssysteme
Christian Pohlandt
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Monographie
Deep Learning based Vehicle Detection in Aerial Imagery
Lars Wilko Sommer
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Sammelband
Proceedings of the 2018 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Jürgen Beyerer, Miro Taphanel (eds.)
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Sammelband
Proceedings – 32. Workshop Computational Intelligence: Berlin, 1. – 2. Dezember 2022
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Sammelband
Proceedings – 31. Workshop Computational Intelligence : Berlin, 25. – 26. November 2021
Ralf Mikut, Frank Hoffmann, Horst Schulte (eds.)
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Monographie
Deep Reinforcement Learning zur Steigerung von Energieeffizienz und Pünktlichkeit von Straßenbahnen
Markus Tesar
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Monographie
Computational, Label, and Data Efficiency in Deep Learning for Sparse 3D Data
Lanxiao Li
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Monographie
Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving
Tobias Michael Kalb
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Monographie
Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
Sebastian Gajek
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Monographie
Stochastic Range Estimation Algorithms for Electric Vehicles using Data-Driven Learning Models
Stefan Scheubner
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Sammelband
Forum Bildverarbeitung 2018
Michael Heizmann, Fernando Puente Leon, Thomas Langle (eds.)
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Monographie
Multimodal Panoptic Segmentation of 3D Point Clouds
Fabian Dürr
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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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Monographie
Efficient Reinforcement Learning using Gaussian Processes
Marc Peter Deisenroth
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Monographie
Mechanismen der Auslösung hochreichender Konvektion im südwestdeutschen Mittelgebirgsraum
Holger Matthias Mahlke
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Sammelband
Frank Thissen, Daniela Gerhard, Michael Burmester (eds.)
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Monographie
Activity Tree Harvesting - Entdeckung, Analyse und Verwertung der Nutzungskontexte SCORM-konformer Lernobjekte
André Wiesner
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Sammelband
Key Topics in Deep Geological Disposal : Conference Report
Susanne Fanghänel (ed.)
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Monographie
Ontology Alignment using Biologically-inspired Optimisation Algorithms
Jürgen Bock
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Monographie
Efficient Algorithms for Large-Scale Image Analysis
Jan Wassenberg
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Monographie
Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
Marco Huber
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Monographie
Atmospheric Moisture Effects on Deep Convection in the Western Mediterranean
Alberto Caldas-Alvarez
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Monographie
Dynamics of Evolution and Learning
Ingo Paenke
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Monographie
Machine Learning for Camera-Based Monitoring of Laser Welding Processes
Julia Hartung
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Monographie
High-resolution analysis of the initiation of deep convection forced by boundary-layer processes
Samiro Khodayar Pardo
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Monographie
Lademanagement für Elektrofahrzeuge
Sarah Katharina Detzler
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Sammelband
Schlüsselqualifikationen für Studium, Beruf und Gesellschaft : Technische Universitäten im Kontext der Kompetenzdiskussion
Caroline Y. Robertson-von Trotha (ed.)
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Monographie
Andreas Geiger
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Monographie
Untersuchung der Hochvoltstabilität und Tiefentladung von dotierten LiNi0,5Mn1,5O4-Hochvoltspinellen
Andres Höweling
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Sammelband
Die Notebook-Universität Karlsruhe (TH) NUKATH
Bernd Thum, Wilfried Juling, Peter Deussen (eds.)
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Monographie
Mediennutzungsgewohnheiten im Wandel : Ergebnisse einer Befragung zur studiumsbezogenen Mediennutzung
Gerd Gidion, Michael Grosch
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Monographie
Assistenzsysteme zur Reduktion des Schädigungsverhaltens von Komponenten einer mobilen Arbeitsmaschine
Lars Brinkschulte
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Monographie
Modellfreies Lernen optimaler zeitdiskreter Regelungsstrategien für Fertigungsprozesse mit endlichem Zeithorizont
Johannes Dornheim
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Sammelband
Proceedings of the 2021 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Tim Zander, Jürgen Beyerer (eds.)
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Monographie
Microstructure and Mechanical Behavior of Deep Drawing DC04 Steel at Different Length Scales
Simone Schreijäg
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Monographie
Controlled self-organisation using learning classifier systems
Urban Maximilian Richter
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Monographie
Self-learning Anomaly Detection in Industrial Production
Ankush Meshram
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Monographie
Evolutionary computation in stochastic environments
Christian Schmidt
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Monographie
Self-Learning Longitudinal Control for On-Road Vehicles
Luca Puccetti
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Monographie
Robust and Regularized Algorithms for Vehicle Tractive Force Prediction and Mass Estimation
Stephan Rhode
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Sammelband
Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019
Eyke Hüllermeier, Ralf Mikut, Frank Hoffmann (eds.)
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Monographie
New Methods to Improve Large-Scale Microscopy Image Analysis with Prior Knowledge and Uncertainty
Johannes Stegmaier
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Monographie
Adaptive Dynamic Programming: Solltrajektorienfolgeregelung und Konvergenzbedingungen
Florian Köpf
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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
Power, policies, and algorithms - technologies of surveillance in the European border surveillance regime
Georg Johannes Huber
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Monographie
Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation
Stephan Puls
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Sammelband
Rolf Borgeest, Martin Gaedke (eds.)
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Monographie
Sebastian Blohm
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Monographie
Learning and Execution of Object Manipulation Tasks on Humanoid Robots
Mirko Wächter
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Monographie
Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation
Peter Krauthausen
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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
Building Evacuation with Mobile Devices
Sabrina Merkel
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Sammelband
Proceedings of the 2020 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Jürgen Beyerer, Tim Zander (eds.)
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Monographie
Entwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerung
Oliver Lohse
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Monographie
Erkennung menschlicher Aktivitäten durch Erfassung und Analyse von Bewegungstrajektorien
Kristine Back
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Monographie
Situation Interpretation for Knowledge- and Model Based Laparoscopic Surgery
Darko Katić
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Monographie
Intelligent Business Process Optimization for the Service Industry
Markus Kress
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Sammelband
Colloid/nanoparticle formation and mobility in the context of deep geological nuclear waste disposal (Project KOLLORADO-2) ; final report
L. Truche, T. Schäfer, F. Huber, U. Noseck, B. Lanyon, J. Flügge, J. Brendlé, A. Pudewills, P. Hoess, S. Heck, W. Hauser, R. Götz, G. Darbha, S. Büchner, M. Bouby, Thorsten Schäfer, Ulrich Noseck, Florian Huber (eds.)
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Monographie
Travel Time Models and Throughput Analysis of Dual Load Handling Automated Storage and Retrieval Systems in Double Deep Storage
Katharina Dörr
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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
Organic traffic control
Holger Prothmann
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Monographie
Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors
Johannes Masino
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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
GLEAM - General Learning Evolutionary Algorithm and Method : ein Evolutionärer Algorithmus und seine Anwendungen
Christian Blume, Wilfried Jakob
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Monographie
Design and Application of Quantified Self Approaches for Reflective Learning in the Workplace
Verónica Rivera Pelayo
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Monographie
Über lernende optische Inspektion am Beispiel der Schüttgutsortierung
Matthias Richter
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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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Monographie
Personalised body counter calibration using anthropometric parameters
Stefan Pölz
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Monographie
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Yiming Sun
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Monographie
Human-Inspired Balancing and Recovery Stepping for Humanoid Robots
Lukas Sebastian Kaul
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Monographie
Fouad ben Nasr Omri
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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
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction
Yannick Lingelbach
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Monographie
Multiscale Cohort Modeling of Atrial Electrophysiology : Risk Stratification for Atrial Fibrillation through Machine Learning on Electrocardiograms
Claudia Nagel
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Monographie
Probabilistische Vorhersage von Fahrstreifenwechseln für hochautomatisiertes Fahren auf Autobahnen
Andreas Weiser
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Sammelband
Proceedings of the 2016 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Alexey Pak, Jürgen Beyerer (eds.)
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Sammelband
Proceedings of the 2017 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Miro Taphanel, Alexey Pak, Jürgen Beyerer (eds.)
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Sammelband
Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Tim Zander, Jürgen Beyerer (eds.)
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Monographie
Christian Ruhhammer
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Monographie
Monokulare Blickrichtungsschätzung zur berührungslosen Mensch-Maschine-Interaktion
Sebastian Vater
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Monographie
Polarimetric Radar for Automotive Applications
Tristan Visentin
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Sammelband
Archives of Data Science, Series A. Vol. 1,1: Special Issue: Selected Papers of the 3rd German-Polish Symposium on Data Analysis and Applications
Józef Pociecha, Andreas Geyer-Schulz (eds.)
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Sammelband
Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory
Tim Zander, Jürgen Beyerer (eds.)
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Sammelband
Forum Bildverarbeitung 2020
Thomas Längle, Michael Heizmann (eds.)
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Sammelband
Forum Bildverarbeitung 2022
Michael Heizmann, Thomas Längle (eds.)
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Monographie
Verbesserungen beim Laserschneiden mit Methoden des maschinellen Lernens
Leonie Felica Tatzel
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Monographie
Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes
Massimiliano Botticelli
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Monographie
Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung
Achim Christian Kuwertz
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Monographie
Anomaliedetektion in räumlich-zeitlichen Datensätzen
Mathias Anneken
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Sammelband
Forum Bildverarbeitung 2024
Michael Heizmann, Thomas Längle (eds.)
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Monographie
Development and Evaluation of Coded Aperture Reconstruction Methods for Intraoperative Gamma Cameras
Tobias Meißner
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Monographie
Nutzung von Blickbewegungen für die Mensch-Computer-Interaktion mit dynamischen Bildinhalten am Beispiel der Videobildauswertung
Jutta Hild
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Monographie
Dynamic Switching State Systems for Visual Tracking
Stefan Becker
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Monographie
A New Concept for Mobile Environmental Education
Markus Ruchter
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Monographie
Vedran Glavas
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Monographie
A Contribution to Resource-Aware Architectures for Humanoid Robots
Manfred Kröhnert
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Monographie
Motion Compensation for Near-Range Synthetic Aperture Radar Applications
Huaming Wu
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Sammelband
Final Workshop Proceedings of the Collaborative Project "Fast / Instant Release of Safety Relevant Radionuclides from Spent Nuclear Fuel" (7th EC FP CP FIRST-Nuclides), Karlsruhe 01 - 02 September 2014
Alba Valls, Volker Metz, Bernhard Kienzler (eds.)
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Monographie
Recheneffiziente Trajektorienoptimierung für automatisierte Fahreingriffe
Benjamin Gutjahr
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Monographie
Vorausschauende Regelung von Fahrzeugsystemen durch stochastische Vorhersage der Fahrzeugdynamik
Sebastian Fünfgeld
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Monographie
Boundary-Layer Processes Producing Mesoscale Water-Vapour Variability over a Mountainous Island
Bianca Adler
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Monographie
Physically based Impedance Modelling of Lithium-Ion Cells
Jörg Illig
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Monographie
Assessment of least-cost pathways for decarbonising Europe's power supply : a model-based long-term scenario analysis accounting for the characteristics of renewable energies
Benjamin Pfluger
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Monographie
Characterization and Emulation of Low-Voltage Power Line Channels for Narrowband and Broadband Communication
Bin Han
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Monographie
Impact of grain coats on quartz overgrowth and Reservoir properties
Benjamin Busch
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Monographie
Microstructural modeling and computational homogenization of the physically linear and nonlinear constitutive behavior of micro-heterogeneous materials
Felix Fritzen
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Monographie
State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Benjamin Noack
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Monographie
Realization Limits of Impulse-Radio UWB Indoor Localization Systems
Lukasz Zwirello
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Monographie
Variational Integrators and Generating Functions for Stochastic Hamiltonian Systems
Lijin Wang
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Monographie
Nonparametric identification of nonlinear dynamic systems
Gábor Kenderi
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Monographie
Deterministic Sampling for Nonlinear Dynamic State Estimation
Igor Gilitschenski
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Monographie
Web-oriented Event Processing
Roland Stühmer
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Monographie
Jose David Rodriguez Martinez
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Monographie
Alexander Konyukhov
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Monographie
Real-time Digital Signal Processing for Software-defined Optical Transmitters and Receivers
Rene Marcel Schmogrow
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Monographie
Realtime Analysis of Large-Scale Data
Daniel Becker
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Monographie
Evaluating Architectural Safeguards for Uncertain AI Black-Box Components
Max Scheerer
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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
Massiv-parallele und großskalige Phasenfeldsimulationen zur Untersuchung der Mikrostrukturentwicklung
Johannes Hötzer
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Monographie
Refraktive Multifokusröntgenlinsen und Hartmann-Shack-Sensoren
Alexander Opolka
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Monographie
Victor Pankratius
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Monographie
Sascha Michael Schweitzer
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Sammelband
Proceedings. 24. Workshop Computational Intelligence, Dortmund, 27. - 28. November 2014
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
Johannes Gräter
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Monographie
Abbildende Ellipsometrie mit Lichtwegumkehrung für die optische Charakterisierung von gekrümmten Oberflächen
Christian Emanuel Negara
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Monographie
Verfahren zur automatischen Spektralanalyse für die Optimierung drahtloser Kommunikation und Sensorik
Christian Weber
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Monographie
Der Quasi-n-Level Betrieb des Flying Capacitor Umrichters für Mittelspannungsanwendungen
Stefan Christoph Mersche
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Monographie
Andreas Storkenmaier
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Monographie
Modellbasiertes Konzept zur vollautomatisierten Montageendprüfung von asynchron angetriebenen Getriebemotoren im lastlosen Zustand
Dirk Eichin
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Monographie
Hendrikje Pauer
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Monographie
Identifikation des menschlichen Bewegungsverhaltens auf der Basis von Primitiven
Gunter Diehm
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Monographie
Kursbuch Geschichte der europäischen und globalen Moderne: Arbeitsformen, Fragestellungen, Texttypen
Rolf-Ulrich Kunze
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Monographie
Kursbuch Geschichte der europäischen und globalen Moderne: Arbeitsformen, Fragestellungen, Texttypen
Rolf-Ulrich Kunze
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Monographie
Spectroscopic investigations of delaminated and intercalated phyllosilicates
Frank Friedrich
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Monographie
Shallow turbulent wake flows: momentum and mass transfer due to large-scale coherent vortical structures
Carl Friedrich von Carmer
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Innovative Qualitätssicherung mittels optimierter Bildverarbeitungsketten auf Basis von Deep Learning - Innovative quality assurance using optimized imageprocessing chain based on deep learning
Claudia Gärtner, Martin Welzenbach, Marco Kraft, Daniel Garten, Lilli Steinert, Galina Polte, Katharina Anding
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Deep learning and active learning based semantic segmentation of 3D CT data
Ulf Hassler, Markus Michen
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Camera-based spatter detection in laserwelding with a deep learning approach
Michael Heizmann, Rainer Thieringer, Oliver Wehner, Martin Stambke, Andreas Jahn, Julia Hartung
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Deep learning-based localisation of combine harvester components in thermal images
Holger Flatt, Ulrich Büker, Dennis Sprute, Hanna Senke
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Comparing Optimization Methodsfor Deep Learning at the Exampleof Artistic Style Transfer
Claudia Redenbach, Katja Schladitz, Ali Moghiseh, Alexander Geng
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Alexander Feil, Xiaozheng Zheng, Kay Johnen, Nils Kroell
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Evaluation of multi-task uncertainties in joint semantic segmentation and monocular depth estimation
Markus Ulrich, Theodor Kapler, Markus Hilleman, Steven Landgraf
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CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings
Ralf Mikut, Andreas Steimer, Elton Tavares de Menezes, Jonas Barth, Simon Bäuerle
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Predicting the Compressive Strength ofConcrete up to 28 Days-Ahead: Comparisonof 16 Machine Learning Algorithms onBenchmark Datasets
Andreas Kroll, Farzad Rezazadeh
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Measuring similarity of rendered and realimage pairs using domain translation byemploying Conditional GenerativeAdversarial Networks
Marcus Thiel, Naveen Raj Datha
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Robuste Ampeldetektion und Haltelinienfreigabe durch Kartenassoziation in automatisierten Fahrzeugen - Robust traffic light detection and stopline release by map association for automated driving
Christoph Stiller, Fabian Immel, Kevin Rösch, Richard Fehler
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The future of machine vision: AI software designed with users in mind
Katrin Götzer, Henning Frechen, Jonas Meier, Markus Schatzl
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Physics enhanced neural network for phase imaging using two axially displaced diffraction patterns
Stephan Reichelt, Liangcai Cao, Giancarlo Pedrini, Rujia Li
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Smart Data Representations: Impact on the Accuracy of Deep Neural Networks
Ralf Mikut, Veit Hagenmeyer, Benedikt Heidrich, Marian Turowski, Nicole Ludwig, Oliver Neumann
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Evaluation of 3D-LiDAR based person detection algorithms for edge computing
Holger Flatt, Helene Dörksen, Dennis Sprute, Dennis Basile
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Active Learning for Regression Problemswith Ensemble Methods
Martin Kohlhase, Bjarne Jaster
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EasyMLServe: Easy Deployment of RESTMachine Learning Services
Ralf Mikut, Markus Reischl, Marcel Schilling, Oliver Neumann
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Machine learning-based battery electrode foil inspection
Alexander Korff, Timo Eckhard, Sebastian Georgi, Wenjing Song, Ines Müller
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VectorRL: Interpretable Graph-based Reinforcement Learning for Automated Driving
Torsten Bertram, Frank Hoffmann, Tamino Waldeyer, Christopher Diehl
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Concepts for Automated Machine Learning in Smart Grid Applications
Ralf Mikut, Veit Hagenmeyer, Tim Martin, Janki Pinter, Stefan Meisenbacher
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Multi-stage Inspection of Laser WeldingDefects using Machine Learning
Ralf Mikut, Meiko Boley, Fabian Bleier, Patricia M. Dold
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Machine learning-based multiobject tracking for sensor-based sorting
Jürgen Beyerer, Uwe D. Hanebeck, Thomas Längle, Harald Kruggel-Emden, Florian Pfaff, Robin Gruna, Albert Bauer, Marcel Reith-Braun, Georg Maier
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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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Interpretable Machine Learning: On the Problem of Explaining Model Change
Eyke Hüllermeier, Barbara Hammer
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Thomas Bartz-Beielstein, Sowmya Chandrasekaran
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Optical identification of valuable materials on
printed circuit board assemblies based on
sensor fusion
Peter J. Klar, Ulrich Bochtler, Patrick Peper, Johannes Ruecker
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Machine learning based model fitting conceptfor energy system components in energymanagement
Peter Bretschneider, Sebastian Flemming, Steffi Naumann, Martin Winkelkotte
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Markus Reischl, Ravindra Peravali, Ralf Mikut, Christian Pylatiuk, Yanke Wang
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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
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Cognitive Architecture for ArtificialIntelligence: Evaluating RealworldApplicability and the Significance of OnlineMachine Learning
Phillip Priss, Christoph Geng, Thomas Bartz-Beielstein, Martin Rosellen, Noah Pütz, Nils Barthel, Aleksandr Subbotin, Lukas Hans, Alexander Hinterleitner, Richard Schulz
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Machine Learning Forecasting of DailyDelivery Positions: A Modern Take onIndustrial Workforce Planning
Matthias Gross, Patrick Eichenseer, Lukas Hans
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Reinforcement Learning Approaches for the Swing-Up and Stabilization of the Cart Pole
Steffen Borchers-Tigasson, Antonius Hohenhövel
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Self-supervised Pretraining for Hyperspectral Classification of Fruit Ripeness
Andreas Zell, Hannah Frank, Leon Amadeus Varga
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Jürgen Fleischer, Max Heinzler, Tobias Schlagenhauf
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AI-based automated active learning fordiscovery of hidden dynamic processes:A use case in light microscopy
Ralf Mikut, Lennart Hilbert, Roshan Prizak, Süheyla Eroglu-Kayikci, Oliver Neumann, Angelo Yamachui Sitcheu, Nils Friedrich
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Machine learning for estimating parametersof a convective-scale model: A comparisonof neural networks and random forests
Eyke Hüllermeier, Mohammad H. Shaker, Tijana Janjic, Stefanie Legler
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Semi-supervised methods for CNN based classification of multispectral imagery
Michael Heizmann, Jiachen Zhou, Manuel Bihler
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PhasmaFOOD - A miniaturized multi-sensor solution for rapid, non-destructive food quality assessment
Francesca Romana Bertani, Konstantinos Tsoumanis, Paraskevas Bourgos, Milenko Tosíc, Susanne Hintschich, Benedikt Groß
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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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Gunther Notni, Elske Linß, Katharina Anding, Petr Kuritcyn
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Visual car brand classification by implementing a synthetic image dataset creation pipeline
Markus Lange-Hegermann, Oliver Niehörster, Stefanie Hittmeyer, Jan Lippemeier
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Robust Training with Adversarial Exampleson Industrial Data
Volker Lohweg, Christoph-Alexander Holst, Julian Knaup
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Benefiting from quantum? A comparative study of Q-Seg, quantum-inspired techniques, and U-Net for crack segmentation
Alil Moghiseh, Maximilian Kiefer-Emmanouilidis, Antonio Macaluso, Alexander Geng, Akshaya Srinivasan
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AutoWP: Automated wind power forecasts with limited computing resources using an ensemble of diverse wind power curves
Ralf Mikut, Veit Hagenmeyer, Peter Bretschneider, Marku Zdrallek, Tim Martin, Maximilian Beichter, Mehdi Dado, Silas Aaron Selzer, Stefan Meisenbacher
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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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Reflection and transmission Ramanspectroscopy for the chemical characterizationof solid materials
R. W. Kessler, D. Oelkrug, E. Ostertag
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Image analysis of natural products
Peter Brückner, Gerhard Linss, Steffen Lerm, Katharina Anding, Daniel Garten
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Signal processing pipeline for an autonomous electrical race car
Stefan Werling, Bjarne Eberhardt, Kevin Schmidt, Finn Schäfer, Oliver Zbaranski, Ole Kettern, Martina Scheffler
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Evaluation of spectral unmixing usingnonnegative matrix factorization on stationaryhyperspectral sensor data of specificallyprepared rock and mineral mixtures
Wolfgang Middelmann, Sven Borchardt, Wolfgang Gross
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Human-AI Co-Construction of Interpretable Predictive Models: The Case of Scoring Systems
Kirsten Thommes, Eyke Hüllermeyer, Jonas Hanselle, Jaroslaw Kornowicz, Stefan Heid
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MLOps for Scarce Image Data: A Use Case inMicroscopic Image Analysis
Ralf Mikut, Markus Reischl, Oliver Neumann, Simon Baeuerle, Nils Friedrich, Angelo Yamachui Sitcheu
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Comprehensive, non-invasive, and quantitativemonitoring of the health and nutrition state ofcrop plants by means of hyperspectral imagingand computational intelligence based analysis
Udo Seiffert, Andreas Backhaus
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Rainer Tutsch, Hanno Dierke, Markus Petz
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Simulation of Synthetically DegradedTracking Data to Benchmark MOT Metrics
Ralf Mikut, Katharina Löffler, Michael Hartmann
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An introduction to quantum image processing on real superconducting quantum computers
Claudia Redenbach, Katja Schladitz, Ali Moghiseh, Alexander Geng
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Optimal Scaling of an Algorithmic Parameter in Restart Strategies
Hans-Georg Beyer, Lisa Schönenberger
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Absorption properties of lipid-based substances by non-invasive fast mid-infrared imaging
Björn Wängler, Matthias Rädle, Frank-Jürgen Methner, Jürgen Marx, Andreas Hien, Sascha Heinrich, Steffen Manser, Patrick Dörnhofer, Tobias Teumer, Tim Kümmel
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Evolving Fuzzy Model Predictive Control based on Optimization for Nonlinear Plate Heat Exchanger
Igor Skrjanc, Mih Ozbot
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Semantic segmentation with small training datasets: A case study for corrosion detection on the surface of industrial objects
Boris Jutzi, Steven Landgraf, Markus Ulrich, Patrick Hübner, Dennis Haitz
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Analysis of plant raw materials and extracts
applying various vibrational spectroscopy
techniques – possibilities and limitations
Andrea Krähmer, Gennadi Gudi, Hartwig Schulz
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AI scratching your car: Using diffusion models for training data generation in automotive damage detection
Rainer Stiefelhagen, M. Saquib Sarfraz, Julian Stritzel
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Method Development for Spatially Resolved Detection of Adulterated Minced Meat
Tilman Sauerwald, Thorsten Tybussek, Isik Türkmen, Ervienatasia Djaw
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Evaluation and comparison of different
approaches to multi-product brix calibration in
near-infrared spectroscopy
Jürgen Beyerer, Thomas Längle, Robin Gruna, Michael Kopf
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Towards many-class classification of materials
based on their spectral fingerprints
Jürgen Beyerer, Matthias Richter
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Application of various balancing methods to DCNN regarding acoustic data
Andreas Wenzel, Maria Schweigel, Manuel Schneider, Dominic Schneider
