„… das von Ronneberger et al. [3] vorgestellte U-Net. 2. Convolutional Neural Networks Machine Learning …” „… vielen Anwendungen erfolgreich eingesetzt wird. Convolutional Neural Networks (CNNs) sind eine …” „… Verarbeitungen leichter zugänglich zu machen. U-Net ist ein modifiziertes Convolutional Neural Network [6] das …”

„… classification with deep convolutional neural networks," Advances in neural information processing systems, vol …” „… ] M. Jaumann, E. Olcay and T. Oksanen, "Condition Monitoring using Convolutional Neural Network in …” „… machines are doing. In this paper such a condition monitoring based on Neural Networks (NN) a CNN and …”

„… . Evaluation Given the described data we trained two convolutional neural networks to predict a segmentation …” „… between the two convolutional neural networks trained on automatic and manual labels reveals that the …” „… mask. One network that is only trained with automatic labels and one with manually annotated images …”

„… Segmentation based on Convolutional Neural Networks (CNNs) to detect different soil cover classes (soil, dead …” „… convolutional architectures like FCNs for feature extraction and upsampling, followed by pixel-level …” „… training, the network is optimized using these three losses. During inference, three efficient operations …”

„… yield prediction using convolutional neural networks from environmental and phenological data“. In …” „… : Convolutional networks for biomed. image segmentation“. In: Int. Conf. on Med. image comput. comp. assist …” „… : 31.10.2022 [13] S. P. Adhikari, G. Kim und H. Kim. „Deep neural network-based system for autonomous …”

„… convolutional neural networks (DNN)s to drive a car by observing human drivers and emulating their behavior …” „… Abstract We demonstrate that deep neural networks can learn autonomous driving related tasks that were …” „… the neural network and discuss the results. This learning-based technology is part of an end-to-end …”

„… . Convolutional graph NN (ConvGNNs) adapt the notion of convolution neural network (CNN) on grid data to graph …” „… Graph-based Vehicle Diagnostics using Machine Learning Potential of Graph Neural Networks for …” „… a vehicle graph. This paper aims to present one way to enable Graph Neural Networks for vehicle …”

„… ) domain, and more precisely when dealing with supervised training of Neural Networks (NN), obtaining …” „… author demonstrates how a fully convolutional network can be used for object detection and 3D estimation …” „… simulation workflow to automatically generate labeled datasets for training a Neural Network (NN) based …”

„… classifier embedding VDI-Berichte Nr. 2384, 2021 321 a Deep Convolutional Neural Network designed to …” „… Deep 1D Temporal Dilated Convolutional Neural Network (1D-CNN) suitable to classify the hyperfiltered …” „… neural network (FLFNN). Both in [12] as well as in [13] the HF / LF analysis is responsible for …”

„… convolutional neural networks (CNNs), can be observed. A very common task, solved by CNNs, is semantic …” „… pest recognition in natural scenes using convolutional neural networks. Computers and Electronics in …” „… unmanned aerial vehicles and convolutional neural networks. In International Conference on Precision …”

„… will require modern techniques such as deep convolutional neural networks (DCNN). These techniques have …” „… low resolution lidar data. This is achieved with a neural network which is trained on simulated …” „… statistical metrics for accuracy can eventually be calculated. The neural networks Although many …”