Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Dataset
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Networks DatasetIglesias, EnriqueTIB 2023Sem texto completo |
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2 |
Material Type: Dataset
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Generative Adversarial Networks for Scenario Creation in Electricity ConsumptionDr. Ioannis Akrotirianakis, US-Princeton, New Jersey; Dr. Amit Chakraborty, US-Princeton, New JerseySiemens AG 2019Sem texto completo |
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3 |
Material Type: Dataset
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Method for Automated Coronary Tree Labeling Using Bidirectional Tree-structured Recurrent Neural NetworksPaul Klein, GB-FrimleySiemens AG 2019Sem texto completo |
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4 |
Material Type: Dataset
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Applying Generative Adversarial Networks to Rail Networks to Prepare for Complex FailuresDr. Steven Alexander Calder, DE-BerlinSiemens AG 2019Sem texto completo |
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5 |
Material Type: Dataset
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Resins based on Polymeric Covalent Adaptable Networks for Manufacturing, Maintenance and Repair Techniques of Wind Turbine BladesDr. Harald Stecher, DK-Aalborg; Bjarke Buchbjerg, DK-AalborgSiemens AG 2018Sem texto completo |
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6 |
Material Type: Dataset
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Generative Adversarial Networks for Transient Signal Samples GenerationIlya Mokhov, RU-St. PetersburgSiemens AG 2018Sem texto completo |
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7 |
Material Type: Dataset
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8 |
Material Type: Dataset
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ASSESSMENT OF TERRITORIAL MAN-CAUSED RISKS IN THE ARCTIC TERRITORIES USING PROBABILISTIC-GRAPHIC MODELSPostnikova, Ulyana ; Taseiko, Olga ; Efremova, InnaReliability: Theory & Applications 2022Texto completo disponível |
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9 |
Material Type: Dataset
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10 |
Material Type: Dataset
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A comparison of deep convolutional neural networks for image-based detection of concrete surface cracksSŁOŃSKI, MarekComputer Assisted Methods in Engineering and Science, 26 2019Sem texto completo |