VDI Verlag eLibrary

International Conference on Gears 2019

VDI Wissensforum GmbH (Hrsg.)

Reihe: VDI-Berichte

Band 2355 2019

Treffer in den folgenden Teilen:

B. H. Kien, D. Iba, Y. Ishii, Y. Tsutsui, N. Miura, T. Iizuka, A. Masuda, A. Sone, I. Moriwaki Vibration-based plastic gear crack detection system using a pre-learned convolutional neural network S. 1443-1452

„… as grayscale images for using a convolutional neural network (CNN). A pre-trained CNN, called VGG16 …” „… monitoring, Wang and Zhang are well known. Wang et al. [6] proposed a deep convolutional neural network (DCNN …” „… steel gears during entire operation has remained challenged. Deep convolutional neural networks have …”

Titelei/Inhaltsverzeichnis S. I-XXVI

„… plastic gear crack detection system using a pre-learned convolutional neural network …” „… etching crack bearing failure: identification of high risk lubricant compounds using artificial neural …” „… networks …”

J. Brimmers, M. Willecke, C. Lopenhaus, C. Brecher Investigation of the potential of using surrogate models in the gear design process S. 727-740

„… convolutional neural networks or K-nearest neighbor approaches, should be investigated. 7. Acknowledgement …” „… , Heidelberg [12] Lowe D (1988) Multi-variable functional interpolation and adaptive networks. Complex …”

doi.org/10.51202/9783181023556

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Distributed Edge Intelligence Enabled Wireless Communication Systems Serving Industrial Applications

Sun Danfeng

Reihe: Mess-, Steuerungs- und Regelungstechnik

Band 1278 2022

Treffer in den folgenden Teilen:

Titelei/Inhaltsverzeichnis S. I-XII

„… connected neural network, attention-based convolutional neural network, and generating precoder and power …” „… Convolutional Neural Network . . . . . . . . . . . . . . . . . . 554.3.1 Problems of the Fully Connected Neural …” „… Convolutional neural networkDA Dependability assessmentDAE Denosing autoencoderDBSCAN Density-based spatial …”

Bibliography S. 87-108

„… Hinton. Imagenet classification withdeep convolutional neural networks. Communications of the ACM …” „… classification withdeep convolutional neural networks. In Advances in neural information processing sys-tems …” „… convolutional neural networks. IEEE Transactions onVehicular Technology, 68(3):3005–3009, 2019.[105] Volodymyr …”

Spectral Efficiency Optimization S. 47-69

„… occupied size versus K with Nt =544.3 Attention-based Convolutional Neural Network100 (i.e., the blue curve …” „… .4.3 Attention-based Convolutional Neural Network4.3.1 Problems of the Fully Connected Neural Network …” „… Attention-based Convolutional Neural NetworkReLUReLUAttentionNetworkChannel Gains (Real)Channel Gains …”

Related Work S. 6-23

„… ] proposed the first convolutional neural network (CNN) which was used in recognition ofhandwritten digits …” „… parameter to control the number of activated neurons.Combined with convolutional neural networks, Masci et …” „… detection[94].112 Related WorkConvolutional Neural NetworkCNN has a long study history and has been applied …”

Distributed Edge Intelligence for Dependability Assessment and Spectral Efficiency Optimization S. 70-82

„… process neural networks in a distributed and optimized way taking advan-tage of both cloud servers and …” „… edge nodes. In the DEI, a whole neural network is assumed thatcan be divided into several sub-models …” „… DEI supports maximizing the performanceof neural networks under relevant constraints. Fig. 5.2 shows …”

Publication List S. 85-86

„… convolutional neural network for spectral efficiency optimization inMIMO systems. Neural Computing and …” „… Abdullah*,Danfeng Sun*, and Lutz Rauchhaupt*. Potentials of MIMO and NeuralNetworks in Industrial Cognitive Networks …” „… dependability assessment methodfor industrial wireless network. 2019 5th IFAC Symposium on Telematics …”

Conclusions and Future Work S. 83-84

„… optimization branch, fully connected neural network (FNN),attention-based convolutional neural network (Att-CNN …” „… ), and generating precoder and powerallocation neural network (GP-PAN) are proposed. The FNN were …”

Introduction S. 1-5

„… address the problem, a fully connected neural network(FNN), an attention-based convolutional neural …” „… , AI-related techniques, and typical neural networks and problems. The secondsection provides the background of …” „… network (Att-CNN), and a generating pre-coder and power allocation neural network (GP-PAN) are proposed …”

doi.org/10.51202/9783186278081

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Deep Homography Estimation for Micro-Topographic Measurement Data

Stefan Siemens

Reihe: Berichte aus dem imr

Band 01/2024 2024

Treffer in den folgenden Teilen:

Bibliography S. 147-170

„… Convolutional Neu-ral Networks Under Conditions of Variance, Oct. 2020. arXiv: 2010.01041 [cs].[32] A. Abche, F …” „… Con-volutional Neural Networks: A Comparison to SIFT”, no. arXiv:1405.5769,Jun. 2015. eprint: 1405.5769 (cs).[37 …” „… , “ImageNet classificationwith deep convolutional neural networks”, Communications of the ACM,vol. 60, no. 6 …”

Titelei/Inhaltsverzeichnis S. I-XX

„… development and validation of a novel registration approachbased on convolutional neural networks …” „… neural networks,confocal laser scanning microscopyviContentsList of Figures ixAcronyms xv1 Introduction …” „… Connected Convolutional NetworksDLT direct linear transformationDOF degrees of freedomFAST features from …”

1. Introduction S. 1-10

„… [10]–[12]. Convolutional neural networks (CNNs) have the potential to addressthese drawbacks in several …” „… convolutional neural network(CNN)-based approaches [13]–[20]. Furthermore, typical CNNs do not cal-culate …” „… examinationof the principles underlying neural networks (NNs) and deep learning, with aparticular emphasis on …”

2. Foundational Concepts S. 11-52

„… weights.382.3 Machine Learning and Deep Learning2.3.3 Convolutional Neural NetworksCNNs are a category of …” „… and optimize strategies over time in dynamicenvironments.2.3.2 Neural NetworksA NN is an …” „… networks.Additionally, this technique expands the effective size of the receptive fields indeeper convolutional layers …”

4. Methods and Algorithms S. 67-102

„… Convolutional Networks (DenseNet)-161,• Inception-v3,• residual neural network (ResNet)-152,• VGG-19 Net with …” „… Convolutional Networks (DenseNet) was introduced byHuang et al. from Facebook AI Research [157]. The name is …” „… RegistrationResNetThe core idea of the residual neural network (ResNet), which was introducedby He et al. from Microsoft …”

doi.org/10.51202/9783959009225

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Game Content Generation from a Single Example

Maren Awiszus

Reihe: Informatik/ Kommunikation

Band 880 2023

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Fundamentals S. 23-46

„… instead of each value. The first popularConvolutional Neural Network (CNN) AlexNet [69] leveraged these …” „… . These networksare inspired by biological neural networks in which nerve cells calledneurons are used for …” „… , which will be explained in the last section.3.1.1 Artificial Neural NetworksThis section goes into …”

Bibliography S. 111-130

„… convolutional neural networks.” In: Commun.ACM 60.6 (May 2017), pp. 84–90.[70] S. Kullback and R. A. Leibler …” „… ] M. Awiszus and B. Rosenhahn. “Markov Chain Neural Networks.”In: 2018, pp. 2180–2187.[8] M. Awiszus …” „… .” In: Neural networks: Tricks of the trade. Springer, 2012,pp. 599–619.115bibliography[57] S. Ioffe and …”

Titelei/Inhaltsverzeichnis S. I-XIV

„… Representations from Transformers. 83CNN Convolutional Neural Network. 28CS Modeling and Simulation of Complex …” „… Artificial Neural Networks . . . . . . . . . . . . . . 243.1.2 Generative Adversarial Networks …” „… Genera-tion, Generative Adversarial NetworksXIIK U R Z FA S S U N GDiese Dissertation über die Generierung von …”

State of the Art S. 13-22

„… ] Markov Chain Neural NetworksIn this work we present a modified neural network model which iscapable to …” „… this thesis. It has two main parts, (a) generative models for imagegeneration with deep neural networks …” „… originatefrom that distribution [111]. With the dawn of Neural Networks (NNs),deep generative models have become …”

doi.org/10.51202/9783186880109

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Unsupervised Domain Adaption for Real-World Head Pose Estimation from Synthetic Data

Felix Konstantin Kuhnke

Reihe: Informatik/ Kommunikation

Band 883 2023

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Bibliography S. 111-128

„… . Wang, S. Li, and M. Pei. “3D head poseestimation with convolutional neural network trained on …” „… . Qiao. “Joint Face Detection andAlignment Using Multitask Cascaded Convolutional Networks.”In: IEEE …” „… Facial Analysis:From Bayesian Filtering to Recurrent Neural Networks.” In: IEEEConf. on Computer Vision …”

Fundamentals S. 11-30

„… considered: head poseestimation from RGB images using deep learning.The first convolutional neural networks …” „… .2.1 machine learning with deep neural networksMachine learning is an overarching term for the …” „… are explained. First, we briefly introduce machine learning withdeep neural networks. Second, the …”

Titelei/Inhaltsverzeichnis S. I-XIV

„… convolutional neural networkCR consistency regularizationDA domain adaptationDANN domain adversarial neural …” „… consistency regularizationRGB red green blueRNN recurrent neural networkSGD stochastic gradient descentSSL …” „… . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 fundamentals 112.1 Machine Learning with Deep Neural Networks . . . . . . 112.2 Transfer Learning …”

Introduction S. 1-10

„… neural networks (CNNs) andthe availability of large image datasets (e.g., ImageNet [13]). A generalrule …” „… syntheticimages contain features that cannot be found in real-world images andvice versa. Neural networks can …” „… image-based face analysis. Superior performance for image relatedtasks was made possible by convolutional …”

Evaluation S. 61-98

„… ),×nosplit.Dataisprocessedbytherespectiveauthors.Experimentalresultsaregroupedinblocksdescribingtheuseofdataduringtrainingandtesting.EvaluationMethodNetworkTrainingSetTestSetPitchYawRollMAECross-ValidationGu[26]VGG16Biwi†1Biwi†14.033.913.033.66Lathuilière[81]VGG16Biwi†2Biwi†24.683.123.073.62Yang(FSA-Net …” „… the performanceby more than 10%. Lathuilière [91] found that for different network ar-chitectures …” „… methods we use a ResNet model [89]. Specificallywe choose the relative small ResNet18, a convolutional …”

doi.org/10.51202/9783186883100

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Autonomous Systems 2019: An Almanac

Herwig Unger (Hrsg.)

Reihe: Informatik/ Kommunikation

Band 864 2019

Treffer in den folgenden Teilen:

P. De Silva, K. Abhiram, V. Tavakkoli A Comprehensive Analysis of Document-Image Distortions and their Respective Impact on Distorted Text/Character-Image Recognition Quality S. 176-198

„… threeneural network architectures: a simple two-layer Convolutional Neu-ral Network (ConvNet), an extended …” „… OCRperformance3 Neural Network Architectures, Performance Results andDiscussion3.1 Convolutional Neural Network …” „… more complex ConvNet-Plus,and an Echo-State Cellular Neural Network (ES-CellNet). Further,the dataset …”

doi.org/10.51202/9783186864109

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ELIV-MarketPlace 2022

VDI Wissensforum GmbH (Hrsg.)

Reihe: VDI-Berichte

Band 2405 2022

Treffer in den folgenden Teilen:

K. Talits Automatic Camera-based Road Defect Detection with Neural Networks S. 305-314

„… ]One-stage detector with convolutional neural network (CNN) structurePooling layer between the convolutional …” „… Camera-based Road Defect Detection with Neural NetworksA Tradeoff between Speed and PrecisionE-LAB | Kevin …” „… further improve the detection capability of deep neural networksFor autonomous driving, sequences of …”

N. Kechler, Eric Sax Big Data Analytics for a seamless Design Flow of reliable Automated Driving Functions S. 257-264

„… detection using neural networksPredictionNormal AbnormalReality Normal 76938 495Abnormal 1004 33046 …” „… Processing Technologies (ITIV)Goal: Training a neural network to detect abnormal driving behaviorsAbnormal …” „… %Minimum deviation steering wheel angle ±10°Approach: Using a Convolutional Neuronal Network (CNN)Exemplary …”

doi.org/10.51202/9783181024058

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Low-Delay Video Communication System over Wireless Channels Based on HEVC and OFDM

Yasser Estuardo Samayoa Paredes

Reihe: Informatik/ Kommunikation

Band 881 2023

Treffer in den folgenden Teilen:

Bibliography S. 125-138

„… , and Kyoung Mu Lee. “Accurateimage super-resolution using very deep convolutional networks.”In …” „… Jörn Ostermann. “NeuralNetwork Based Error Concealment for VVC.” In: Proceedings of the28th IEEE …” „… , and Jörn Ostermann. “NeuralNetwork-based Error Concealment for B-Frames in VVC.” In:IEEE International …”

Titelei/Inhaltsverzeichnis S. I-XIV

„… . . . . . . . . . . . . . . 422.7.1 Error Concealment Neural Network (ECNN) . . . . 442.7.2 Error Concealment Evaluation …” „… Neural NetworkEC Error ConcealmentFC Frame CopyFEC Forward Error CorrectionFER Frame Error RateFFT Fast …” „… KeyingRAP Random Access PointRCPC Rate-Compatible Punctured Convolutional CodesRNN Recurrent Neural …”

Conclusions S. 120-124

„… concatenated channelcodes is designed: a Reed-Solomon (rs) and a rate compatible punc-tured convolutional codes …” „… aneural network-based error concealment (NNEC) algorithm for HEVCby estimating a lost frame from past …” „… consecutive frames. Its performancewas evaluated using the common test conditions for neural …”

Introduction S. 1-14

„… neural network (RNN) togenerate an estimated version of the lost frame from previouslydecoded frames. The …” „… Samayoa and Jörn Oster-mann. Neural Network-based Error Concealment for B-Frames inVVC, In: IEEE …” „… method for VVCthat conceals B-frames based on the neural frame interpolationnetwork RIFE. The network is …”

doi.org/10.51202/9783186881106

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An Integrated Approach for Traffic Scene Understanding from Monocular Cameras

Malte Oeljeklaus

Reihe: Verkehrstechnik/Fahrzeugtechnik

Band 815 2021

Treffer in den folgenden Teilen:

Bibliography S. 115-142

„… . Klette. “STFCN: Spatio-Temporal Fully Convolutional Neural Network for Semantic Segmentation of Street …” „… from Street View Imagery using Deep Convolutional Neural Networks”. In: Proceedings of the 2nd …” „… . Xie, and M. Li. “Bag of Tricks for Image Classification with Convolutional Neural Networks”. In …”

Titelei/Inhaltsverzeichnis S. I-XIV

„… Convolutional Neural Networks DISSERTATION submitted in partial fulfillment of the requirements for the degree …” „… Representation – 3D Reconstruction – Convolutional Neural Networks – Multi-task Learning – Feature Sharing …” „… multi-task convolutional neural network. The obtained results demonstrate the efficiency of the multi-task …”

„… activation functions. Convolutional neural networks and their components CNNs have some specific …” „… fully convolutional network (FCN), that is designed to solve the task of segmentation in an end-to-end …” „… ) From this formal description, it can be seen that basic neural networks are mathematically rather …”

Network Architecture for Multi-task Feature Sharing S. 28-37

„… 4 Network Architecture for Multi-task Feature Sharing An important design consideration for neural …” „… networks is the determination of the architecture, which is the subject of this chapter. In this context …” „… , the term architecture describes the general network structure regarding the number of neurons and how …”

Introduction S. 1-7

„… particular, approaches based on so-called convolutional neural networks (CNNs) became popular, in which …” „… processing with a focus on methods based on deep neural networks. Furthermore, it relates these methods to …” „… camera images are filtered through a hierarchical, multi-level network of simulated neurons. However …”

doi.org/10.51202/9783186815125

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Schwingungen 2023

VDI Wissensforum GmbH (Hrsg.)

Reihe: VDI-Berichte

Band 2429 2023

Treffer in den folgenden Teilen:

A. Schneider, A. B. Gowri, O. Enge-Rosenblatt Systematische Erfassung und Analyse von Schwingungsdaten für industrielle Anwendungen mit Hilfe von KI-Workflows S. 319-XII

„… , kann die Klassifizierung zum Beispiel auf Basis eines Convolutional Neural Networks(CNN) realisiert …” „… von ein- oder zweidimensionalen Convolu-tional Neural Networks (CNN) oder Recurrent Neural Networks …” „… Merkmalsextraktion sowie Deep-Learning-Algorithmen unter anderem auf Basisvon hierarchischen Convolutional Neural …”

T. Koenig, F. Wagner, L. Kopp, V. Murali, S. B. Lokesh, M. Kley Simulation model to generate condition data of healthy and faulty transmissions S. 185-200

„… novel condition monitoring scheme using a convolutional neural network trained on data generated by …” „… using Convolutional Neural Networks with vibration spectrograms. tm - Technisches Messen 89 (2022) 5, pp …” „… , B., An, Z., Bao, H. and Ji, S.: Generalization of Deep Neural Networks for Imbalanced Fault …”

doi.org/10.51202/9783181024294

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Technische Zuverlässigkeit 2023

VDI Wissensforum GmbH (Hrsg.)

Reihe: VDI-Berichte

Band 2409 2023

Treffer in den folgenden Teilen:

F. Mauthe, M. Braig, P. Zeiler Evaluierung der Güte von datengetriebenen Methoden zur Lebensdauerprognose technischer Systeme unter Berücksichtigung von Zeitreihencharakteristiken S. 243-256

„… faltungsbasierten neuronalen Netzwerkarchitekturen Convolutional Neural Networks (CNN) und Temporal Con-volutional …” „… verwendet [15] �� = max��, 0�. (2) 3.1.2 Convolutional Neural Network CNNs eignen sich ebenfalls für TSFs …” „… .: Deep recurrent convolutional neural network for remaining useful life predic-tion. ICPHM 2019. IEEE …”

O. Gnepper, O. Enge-Rosenblatt Breitband-Monitoring für die Schadensidentifikation von Axialkolbenpumpen S. 231-242

„… . convolutional neural networks) [7] für die Schadensidentifikation ein-gesetzt. Je nach verwendetem …” „… . Palmberg, „Condition Monitoring of Fluid Power Pumps using Vibration Measurements and Neural Networks …” „… , „Algorithms for Hyper-Parameter Optimization,“ in Advances in Neural Information Processing Systems, J …”

doi.org/10.51202/9783181024096

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Fahrerassistenzsysteme und automatisiertes Fahren 2018

VDI Wissensforum GmbH (Hrsg.)

Reihe: VDI-Berichte

Band 2335 2018

Treffer in den folgenden Teilen:

M. Simon, S. Milz Echtzeit 3D Objekterkennung mit Punktwolken S. 125-136

„… . Quantisierung in Voxel oder Bilder und Verarbeitung mit Hilfe von Convolutional Neural Networks (CNN) [11 bis …” „… ., Vasconcelos, N.: A unified multi-scale deep convolutional neural network for fast object detection. CoRR abs …” „… deep: Fast object detection in 3d point clouds using efficient convolutional neural networks. CoRR abs …”

D. Krökel, S. Hachfeld, M. du Bois, M. Pfitzer, S. Hegemann Camera Based Lost Cargo Detection for Automated Driving S. 55-62

„… telephoto camera is to use a semantic segmentation based on a trained convolutional neural network (CNN …” „… Systems ADCU: Assisted and Automated Driving Control Unit CNN: Convolutional Neural Network ECU …” „… Co trol U it CNN: Convolutional Neural Network ECU: Electronic C trol U it MFC: Multi Functional …”

H. Fischer, L. Glas, C. Jannasch, K. Sölter Die Künstliche Intelligenz für Autonomes Fahren am Beispiel der StVO – Wie schafft ein autonomes Fahrzeug die Führerscheinprüfung? S. 79-90

„… ] Alex Krizhevsky et al.: ImageNet Classification with Deep Convolutional Neural Networks; NIPS …” „… Short-term Memory; Neural Computation 9, MIT Press, 1997 [2] M. Maurer, J. C. Gerdes, B. Lenz, H. Winner …”

M. Karg, C. Scharfenberger, R. Thiel Machine Learning for Vision-based Pedestrian Detection Achievements and Future Challenges S. 151-164

„… Neural Networks (CNNs) erreicht. Die Stärke dieses Lernverfahrens ist die gleichzeitige Optimierung von …” „… die menschliche Intelligenz hinaus. 2015 wurde das DQN (Deep Q-Network) Verfahren für Reinforcement …” „… in der Verbesserung der Detektionsgenauigkeit wurde durch die Entwicklung von tiefen, Convolutional …”

doi.org/10.51202/9783181023358

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Commercial Vehicles 2023

VDI Wissensforum GmbH (Hrsg.)

Reihe: VDI-Berichte

Band 2417 2023

Treffer in den folgenden Teilen:

J. Schöning, N. Kruse AI-Supported Assessment of Load Safety S. 67-80

„… Architekturen von Convolutional Neural Networks (CNN) kann gezeigt werden, dass es möglich ist, bei der …” „… applying several architectures of convolutional neural net-works (CNN), it can be shown that it is possible …” „… aug-mentation. 3.3 Architecture Design of the Convolutional Neural Network Three CNN architectures are used for …”

doi.org/10.51202/9783181024171

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Reifen – Fahrwerk – Fahrbahn

VDI Wissensforum GmbH (Hrsg.)

Reihe: VDI-Berichte

Band 2356 2019

Treffer in den folgenden Teilen:

K. Singh, F. Petry, P. Alipour, D. Khadraoui Application of Machine Learning & Deep Learning Techniques in the Context of Use Cases Relevant for the Tire Industry S. 241-268

„… convolutional neural network (CNN). Pioneering deep neural networks by Yann LeCun [2] could classify handwritten …” „… Image Analysis In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep …” „… convolutional neural network (CNN) to identify the tire on a vehicle based on a relatively low-resolution image …”

W. Jarisa, R. Henze, F. Küçükay, F. Schneider, J. Denzler, B. Hartmann Fusionskonzept zur Reibwertschätzung auf Basis von Wetter- und Fahrbahnzustandsinformationen S. 169-190

„… CNNs (Convolutional Neural Networks) eingesetzt, also neuronale Netzwerke mit Schichten, in denen die …” „… . Hinton: ImageNet classification with deep convolutional neural networks. NIPS'12 Proceedings of the 25th …” „… [CV95] C. Cortes, V. Vapnik: Support-Vector Networks, In: Machine Learning, Pages 273-297, 1995 …”

doi.org/10.51202/9783181023563

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Bauingenieur

Alle Ausgaben: Bauingenieur

Bauingenieur Jahrgang 98 (2023) Heft 04 ISSN Online: 0005-6650

Treffer in den folgenden Teilen:

Hamid Sadegh-Azar, Konstantin Goldschmidt Künstliche Intelligenz im Erdbebeningenieurwesen S. S 6-S 7

„… , L. et al.: Application of Neu-ral Networks in Seismic Response Prediction of Structures. In: SEE8 8 …” „… .; Goldschmidt, K.; Steinel, L. et al.: Application of Neu-ral Networks in Seismic Response Prediction of …” „… prediction with artificial neural networks. In: SMiRT 26th International Conference on Structural Mechanics …”

doi.org/10.37544/0005-6650-2023-04

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