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Maria M. Kubek, Zhong Li - Autonomous Systems 2018

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Maria M. Kubek (Hrsg.), Zhong Li (Hrsg.)

Autonomous Systems 2018

Reihe: Informatik/ Kommunikation

Band 862 2018

Treffer in den folgenden Teilen:

P. Meesad Keynote 1: Deep Learning and Applications S. 1

„… 1 Keynote 1: Deep Learning and Applications Phayung Meesad Faculty of Information Technology King …” „… Mongkut’s University of Technology North Bangkok, Thailand Abstract: Deep Learning has been extremely …” „… in Deep Learning fields. CNNs are popular in image processing while LSTMs seem to play big roles in …”

Titelei/Inhaltsverzeichnis

„… Systems – Data Interferences – Data Assessments – Decentralised Search – Machine Learning – Deep Learning …” „… , August 2018 Mario M. Kubek Zhong Li V Contents Keynotes Keynote 1: Deep Learning and Applications P …” „… stochastic methods, data interferences as well as machine learning and search in decentralised systems …”

N.A. Akwir, M.K. Mutengi, W.V. Kambale, J.C. Chedjou, K. Kyamakya A Fully Neurocomputing based Traffic Modelling-and-Simulation Concept S. 131-150

„… the respective accuracy characteristics. Lately, the use of deep learning becomes more and more …” „… al. [13] and Huang et al. [14], just to name few, have exploited different deep learning techniques …” „… their efficiency in many areas in science and engineering due to their learning and lately deep learning …”

M. Kubek Library Services in Decentralised Web Search Systems S. 87-100

„… definitely a time-consuming learning process in which the interaction with their users plays an important …” „… knowledge gathered and the experienced process of knowledge acquisition. It usually requires a deep study of …” „… learning, ordering and cataloguing process can be implemented by applying specific algorithms and technical …”

doi.org/10.51202/9783186862105

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VDI Wissensforum GmbH (Hrsg.)

ELIV 2017

Reihe: VDI-Berichte

Band 2299 2017

Treffer in den folgenden Teilen:

P. Ott, C. Speck, G. Matenaer Deep end-to-end Learning im Automotivebereich /Deep end-to-end learning in automotive S. 49-50

„… Deep End-to-End Learning in Automotive … and a platform to facilitate such learning Patrick …” „… the deep learning models. We use the task of automated semantic annotation to showcase the functioning …” „… of visual deep learning models on a technical yet uncomplicated level. A general introduction to …”

U. Muller, L. D. Jackel, J. Langenwalter Teaching a car to drive – Automating the extraction of domain knowledge by observing human drivers /Teaching a car to drive – Automating the extraction of domain knowledge by observing human drivers S. 13-14

„… the neural network and discuss the results. This learning-based technology is part of an end-to-end …” „… Abstract We demonstrate that deep neural networks can learn autonomous driving related tasks that were …” „… execution of maneuvers can be performed without relying solely on localization and HD maps. We teach deep …”

R. Straschill, T. Schäfer Anwendung etablierter Methoden zur Quantifizierung von Testabdeckung zur Sicherstellung der Sicherheit selbstlernender Systeme /Accepting uncertainty – Applying proven methods for quantifying test res... S. 97-98

„… artificial intelligence (AI), especially the disciplines of Deep Learning / Neuronal Networks, worsened the …” „… to ensure safety compliance of self-learning systems Rainer Straschill, Tobias Schäfer, FEV GmbH …” „… Automation, and the introduction of advanced self-learning systems for automotive use, designers, OEMs and …”

Titelei/Inhaltsverzeichnis

„… vehicle data 47 P. Ott, C. Speck, G. Matenaer Deep end-to-end Learning im Automotivebereich Deep …” „… end-to-end learning in automotive 49 J. Kirschbaum Das digitale Abbild der Umgebung zur Generierung …” „… self-learning systems 97 P. Ginal, H. Dörr Testautomatisierung im praktischen Einsatz bei Valeo Siemens …”

S. Waschul, B. Iske, C. Raksch, T. Führer Hochautomatisiertes Fahren (HAF) und Parken (HAP) – Trends und Herausforderungen /Highly automated driving (HAD) and parking (HAP) –Trends and challenges S. 9-10

„… ) including video processing and computing power for deep learning net- VDI-Berichte Nr. 2299, 201710 …”

doi.org/10.51202/9783181022993

Christian Brecher, Jörg Krüger, Eckart Uhlmann, Alexander Verl, Oliver Riedel, Armin Lechler - Künstliche Intelligenz in der Produktion

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Christian Brecher, Jörg Krüger, Eckart Uhlmann, Alexander Verl, Oliver Riedel, Armin Lechler

Künstliche Intelligenz in der Produktion

Reihe: Fertigungstechnik

Band 709 2022

Treffer in den folgenden Teilen:

J. Lehr, J. Krüger Deep-Learning Plattform für dezentrale Bauteilerkennung S. 34-44

„… 34 Deep-Learning Plattform für dezentrale BauteilerkennungDeep-Learning Plattform für dezentral …” „… Bauteilerkennung 34 4 Deep-Learning Plattform für dezentrale Bauteilerkennung J. Lehr, J. Krüger 4.1 Einleitung …” „… auf einem 36 Deep-Learning Plattform für dezentrale BauteilerkennungDeep-Learning Plattform für …”

R. Gulde, F. Busch, O. Riedel Transfer-Learning Techniken zur Detektion von Greifpunkten für die robotergestützte Manipulation in der Produktion S. 45-56

„… vortrainiertes Deep- Learning-Modell für das Transfer-Learning mit eigenen Daten verwenden zu können. Dieses …” „… Lösungsstrategie, Deep-Learning-Methoden zur Erkennung von Griffpunkten an Objekten einzusetzen. Dabei drückt ein …” „… benötigte Rechenleistung zur Verfügung, um Deep-Learning-Algorithmen zu trainieren [8]. Diese Arbeit …”

Titelei/Inhaltsverzeichnis

„… .Für die Dokumentation: Maschinelles Lernen – Bildverarbeitung – Roboter – Deep-Learning – Handhabung …” „… processing – robotics – deep learning – handling – manufacturing – automation – human-robot collaboration …” „… , - Roboterbahnplanung mit Reinforcement-Learning, - Robotergreifplanung mit Deep Learning, - Bildbasierte …”

F. Jaensch, A. Verl Reinforcement Learning am Digitalen Zwilling für die Handhabung flexibler Objekte S. 23-33

„… effizienten Stabilisieren des Kabels im freien Raum Der verwendete Agent ist ein DeepQ-Learning …” „… . Dafür wurde ein DeepQ Reinforcement Learning Algorithmus ohne Anpassung an das Environment gekoppelt und …” „… .: Deep Reinforcement Learning with Double Q-learning 2015. [30] Wang, Z.; Schaul, T.; Hessel, M.; van …”

O. Petrovic, S. Storms, C. Brecher Framework für die Einbindung von ML-Verfahren in die MRK-basierte Montage S. 1-12

„… Applikationen in der MRK beleuchtet. 1.2.1 Machine Learning ML und im speziellen Deep Learning (DL) ist eine …” „… Vieweg, 2018, S. 239–260. [9] Wick, C.: Deep Learning. In: Informatik-Spektrum. 40. Jg., 2017, Nr. 1, S …” „… ] He, K.; Zhang, X.; Ren, S.; Sun, J.: Deep Residual Learning for Image Recognition. In: 29th IEEE …”

M. Schlüter, C. Briese, J. Krüger Bildbasierte Erfassung von Stammdaten ermöglicht Wiedererkennung von Bauteilen mit Neuronalen Netzen in der Logistik S. 13-22

„… erfolgreichen Anlernen von den erwähnten CNNs, auch „Deep Learning“ genannt, ist der gezielte Aufbau von …” „… Logistik 22 Jürgen Schmidhuber. “Deep learning in neural networks: An overview”. In: Neural Networks 61 …” „… : https://www.sciencedirect.com/science/article/pii/S0893608014002135. Ian Goodfellow, Yoshua Bengio und Aaron Courville. Deep Learning …”

doi.org/10.51202/9783186709028

VDI Wissensforum GmbH - AgEng LAND.TECHNIK 2022

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VDI Wissensforum GmbH (Hrsg.)

AgEng LAND.TECHNIK 2022

Reihe: VDI-Berichte

Band 2406 2022

Treffer in den folgenden Teilen:

D. H. Basavegowda, C. Weltzien High Nature Value grassland identification using deep learning S. 375-380

„… High Nature Value grassland identification using deep learning Deepak H. Basavegowda, Cornelia …” „… problem in computer vision. Since the introduction of deep neural networks (DNNs), deep learning …” „… . Environ. 201 (2017) 12–23. [8] Y. LeCun, Y. Bengio, G. Hinton, Deep learning, Nature. 521 (2015) 436–444 …”

A. Tempelaere, H. Minh Phan, T. Van De Looverbosch, P. Verboven, B. Nicolai Non-destructive internal disorder detection in pear fruit using X-ray radiographs and deep learning S. 517-524

„… Non-destructive internal disorder detection in pear fruit using X-ray radiographs and deep learning …” „… quality based on the radiography data. In a recent subfield of AI, i.e. supervised deep learning (DL …” „… deep learning,” Expert Syst. Appl., vol. 176, no. March, p. 114925, 2021, doi: 10.1016/j.eswa …”

A. Panambilly, P. Schade Smart Constituent Sensing using HarvestLabTM 3000 – An innovative NIR based Constituent Sensing solution S. 335-342

„… augmented sensor system together with advanced deep learning models and algorithms enables the following …” „… Deep Learning with Uncertainty Estimation Classical constituent sensing involves predicting …” „… function is a task of machine learning and is commonly referred to as NIR calibration [1]. Smart …”

M. Schmidt AI-Based Tillage Job Quality Assessment for Advanced Machine Automation in Agriculture S. 567-572

„… image processing a state-of-the-art Deep Learning approach has been developed [5]. A large data base …” „… containing a high variety of images is essential for the success of Deep Learning approaches. Thus, an …” „… activity is deep knowledge how the human is per-forming the respective activity today. In automotive …”

A. Barbaresi, M. Ceccarelli, M. Bovo, M. Agrusti, E. Santolini, D. Torreggiani, P. Tassinari, G. Menichetti Machine Learning Models for Predictions of Thermal Energy Need in Farm Buildings S. 477-484

„… ] Singh U, Rizwan M, Alaraj M, Alsaidan I. A Machine Learning-Based Gradient Boosting Regression Approach …” „… Machine Learning Models for Predictions of Thermal Energy Need in Farm Buildings Dr. Alberto …” „… learning (ML) models to avoid energy simulations. Considering these aspects, the research aims is to …”

M. Agrusti, M. Ceccarelli, M. Bovo, S. Benni, A. Barbaresi, E. Santolini, D. Torreggiani, P. Tassinari Assessment of milk yield loss induced by heat stress in dairy cows – Researching the sustainability and the animal welfare S. 75-84

„… References [1] P. Tassinari et al., “A computer vision approach based on deep learning for the detection of …” „… model developed through machine learning techniques, adopting a Random Forest algorithm, with the main …” „… milk yield of dairy cows in farms with AMS. In this context, Machine Learning (ML) algorithms have …”

Titelei/Inhaltsverzeichnis

„… grassland identification using deep learning 375D. H. Basavegowda, C …” „… , PotsdamNon-destructive internal disorder detection in pear fruit using X-ray radiographs and deep learning …” „… Aquatic Environment, University of Thessaly, Volos, Greece f Energy and BulidingsMachine Learning Models …”

doi.org/10.51202/9783181024065

VDI Wissensforum GmbH - LAND.TECHNIK AgEng 2023

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VDI Wissensforum GmbH (Hrsg.)

LAND.TECHNIK AgEng 2023

Reihe: VDI-Berichte

Band 2427 2023

Treffer in den folgenden Teilen:

P. Behr, E. Olcay, M. Maier, T. Oksanen Condition Monitoring in Agricultural Disc Mower Machinery using Deep Learning S. 117-124

„… Condition Monitoring in Agricultural Disc Mower Machinery using Deep Learning Intelligent Anomaly …” „… Detection in Disc Mowers: Exploring Deep Learning Models (CNN and ResNet) for Enhanced Condition Monitoring …” „… into the exploration of two deep learning models (CNN and ResNet18) for intelligent condition …”

F. C. Eichhorn, J. Becker Efficient and Reliable Employment of Stereo Cameras in Precision Agriculture S. 333-340

„… part of the BMWK-funded project NaLamKI, we employ a state-of-the-art deep learning approach based on a …” „… other control systems in agriculture. The high model complexity of modern deep learning architectures …” „… ) [10] He, K., Zhang, X., Ren, S. Sun, J.: Deep Residual Learning for Image Recognition, IEEE CVPR, San …”

A. Baiser, B. Johanning, A. Berghaus, A. Grever Development approach for process monitoring of agricultural work processes in context of autonomous machine guidance of a tractor implement combination S. 169-174

„… AgEng-LAND.TECHNIK 2022. 22th november 2022, page 567-572. [4] Stroescu, V.C., Olcay, E.: Deep Learning-Based …” „… combination with machine or deep learning algorithms to partly detect damage, but mainly to assess the work …” „… approach with accelerometers and the use of a deep learning algorithm to detect missing knife blades of a …”

B. Kazenwadel, S. Becker, L. Michiels, M. Geimer Data-driven algorithms for predicting energy-efficient operating points in agricultural soil tillage S. 519-528

„… . Haarnoja, H. Tang, P. Abbeel, and S. Levine, “Reinforcement Learning with Deep Energy-Based Policies …” „… . One approach used off-policy reinforcement learning [3] and the other one used traction and draft …” „… directly predict the optimal operating speed. This paper presents an offline reinforcement learning …”

S. Bosse, J. Magnusson, E. L. Wisotzky, A. Hilsmann, P. Eisert, E. Gassen, M. Reichardt, A. Stein, J. Heil, M. Hussaini Platform-Based and AI-Enabled Farming to Foster Agricultural Ecosystems S. 441-454

„… . Hughes und M. Salathé. „Using deep learning for image- based plant disease detection“. In: Frontiers in …” „… use of AI methods user-friendly, NaLamKI relies on Automated Machine Learning [22]. The 3D …” „… interactive learning approaches in the heterogeneous "agriculture" system. For result visualization, an …”

T. Blume, L. Neumann Self-supervised learning for an agriculture driver assistant system S. 471-476

„… determination of tramlines plays a crucial role for this application and is achieved by using deep learning …” „… Self-supervised learning for an agriculture driver assistant system Dipl.-Ing. Tobias Blume, M.Sc …” „… time-consuming and costly. A promising alternative is self-supervised learning, where large amounts of unlabeled …”

B. Teurlinx, T. Ruigrok, F. Tamminga, J. Ijsselmuiden, K. Bennin, Ö. Babur High Accuracy and High-Speed Crop Root Position Detection for Green-on-Green Mechanical Weeding S. 69-78

„… conditions. This meant that the dataset used during the training of the deep learning networks included …” „… , Michael G, Jones K. A survey of deep learning techniques for weed detection from images. Comput Electron …”

Titelei/Inhaltsverzeichnis

„… Agricultural Disc Mower Machinery using Deep Learning 117P. Behr, E. Olcay, M. Maier, T. Oksanen, Technical …” „… operational modes using a supervised machine learning model 93R. Grimm, M. Kügle, F. Kattler, J. Mayer, AGCO …” „… deviation analysis – Utilizing machine learning to increase yield documentation insights 327R. Gralfs, C …”

E. Eder, U. C. Bicici, P. Riegler-Nurscher Evaluating the work quality of in-row hoeing systems using computer vision methods S. 477-482

„… The rise of deep learning has led to many new methods for image parsing, including semantic …”

E. Zamora, A. Benavent, M. Wójcik, C. Metz, T. E. Madsen Robot Operating System ROS 2 in safety critical agricultural robot applications S. 219-226

„… this paper and presentation, we provide deeper insights into the opportunities of using ROS 2 in the …” „… taking in new scenarios and learnings, both during the development, but also after deployment. Hazard …”

C. Hurd, J. Hollinger, T. Schuster, R. Schildroth Deploying Off-Road Autonomy at Scale S. 463-470

„… debugging inference logic many times easier. ○ Deep learning models can be opaque, making it even more …”

J. C. Krause, N. Iqbal, M. Niemeyer, B. Thy, L. Plagge, H. Hollmeier, A. Ruckelshausen, S. Röttgermann, A. Tauber, J. Herbers, S. Menke, J. Hertzberg AI-TEST-FIELD – A Test Environment for the Automated Evaluation of Methods for Robust and Reliable Environment Perception S. 547-554

„… . 257-276 [3] Guo, Y. et al.: Deep Learning for 3D Point Clouds: A Survey. IEEE Transactions on Pat-tern …”

doi.org/10.51202/9783181024270

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