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Rolling bearing fault diagnosis based on parameter optimized VMD and improved GoogLeNet
Published 2025-01-01“…A rolling bearing fault diagnosis method based on parameter-optimized variational mode decomposition (VMD) noise reduction and GoogLeNet network with improved attention mechanism was proposed.MethodsThe local minimal envelope entropy was used as the fitness function, and the sparrow search algorithm (SSA) was used to optimize the VMD parameter combination; the optimized VMD algorithm was used to decompose the bearing vibration signals to obtain several modal components, and the signals were reconstructed by filtering the modal components with rich fault features according to the envelope entropy and kurtosis; the reconstructed signals were used to construct the feature matrix and input into the improved GoogLeNet network to complete the diagnosis.ResultsThe test results show that the diagnostic accuracy of the method is 95.5% to 99.8% under different noise backgrounds, which is better than other methods in terms of noise robustness.…”
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ORTAÇAĞ FELSEFESİNDE AHLAKİ BİR PROBLEM OLARAK "DÜNYA-ALGISI"
Published 2010-12-01Subjects: Get full text
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Critical linkages between land use change and human health in the Amazon region: A scoping review.
Published 2018-01-01Get full text
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Transcriptome analysis of early pregnancy vitamin D status and spontaneous preterm birth.
Published 2020-01-01Get full text
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Research on Airport Target Recognition under Low-Visibility Condition Based on Transfer Learning
Published 2021-01-01“…The experimental results show that GoogLeNet is more effective, with a recognition rate of more than 90.84%. …”
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A systematic scoping review of clinical indications for induction of labour.
Published 2020-01-01Get full text
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Standardised packaging, minimum excise tax, and RYO focussed tax rise implications for UK tobacco pricing.
Published 2020-01-01Get full text
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Comparative Analysis of Vanilla CNN and Transfer Learning Models for Glaucoma Detection
Published 2024-01-01“…Hence, in this work, a comparative analysis is performed on vanilla CNN, AlexNet, GoogLeNet, and ResNet50 using two popular glaucoma datasets (ACRIMA and ORIGA). …”
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A New Transfer Learning Ensemble Model with New Training Methods for Gear Wear Particle Recognition
Published 2022-01-01“…Firstly, the wear particles are diagnosed and classified by connecting a new joint loss function and two pretrained models VGG19 and GoogLeNet. Subsequently, the wear particles in gearbox lubricating oil are chosen as the experimental object to make a comparison. …”
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Target Tracking Algorithm in Football Match Video Based on Deep Learning
Published 2022-01-01“…The target detection algorithm of GoogLeNet-LSTM is used for faltung to obtain the feature mapping array. …”
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Coblator Arytenoidectomy in the Treatment of Bilateral Vocal Cord Paralysis
Published 2015-01-01Get full text
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A geometric approach for accelerating neural networks designed for classification problems
Published 2024-07-01“…The proposed method achieves impressive pruning results on networks trained by CIFAR-10 and ImageNet datasets, with 87.5%, 77.6%, and 78.8% of VGG16, GoogLeNet, and DenseNet parameters pruned, respectively. …”
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Detection of weeds in vegetables using image classification neural networks and image processing
Published 2025-01-01“…The background grid cells, which contained no green pixels, were identified, while the remaining cells were labeled as weed cells. EfficientNet, GoogLeNet, and ResNet models achieved overall accuracies of over 0.956 in identifying vegetables in the testing dataset, demonstrating exceptional identification performance. …”
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Disease Identification of Lentinus Edodes Sticks Based on Deep Learning Model
Published 2022-01-01“…The experimental results show that the recognition accuracy of the method proposed in this paper can reach 94.27%, which is higher than the Vgg16, GoogLeNet, ResNet50, and MobileNet v2 models by 8.47%, 6.49%, 4.68%, and 9.38%, respectively, and the F1-score can reach 0.9422. …”
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Comparative analysis of good governance patterns in rural areas (Case study: villages in the central part of Pol-e Dokhtar county and Musaian section in Dehloran county)
Published 2024-12-01“…This study aimed was to conduct a comparative analysis of the goog governance model in rural areas with an emphasis on the villages of the central part of Poldakhtar and Mosian section of Dehloran. …”
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Intelligent Psychology Teaching System Based on Adaptive Neural Network
Published 2022-01-01“…Among them, the number of interactive learning elements inception modules used by the network models GoogLeNet, Inception-v2, Inception-v4, and Inception-ResNet-v2 are 9, 10, 14, and 20, respectively. …”
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