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|a 9783031373206
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|a Fred, Ana
|e [editor]
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|a Deep Learning Theory and Applications
|h Elektronische Ressource
|b First International Conference, DeLTA 2020, Virtual Event, July 8-10, 2020, and Second International Conference, DeLTA 2021, Virtual Event, July 7–9, 2021, Revised Selected Papers
|c edited by Ana Fred, Carlo Sansone, Kurosh Madani
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|a 1st ed. 2023
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|a Cham
|b Springer Nature Switzerland
|c 2023, 2023
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|a XI, 151 p. 71 illus., 51 illus. in color
|b online resource
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|a Alternative Data Augmentation for Industrial Monitoring using Adversarial Learning -- Multi-stage Conditional GAN Architectures for Person-image Generation -- Evaluating Deep Learning Models for the Automatic Inspection of Collective Protective Equipment -- Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks -- Forecasting the UN Sustainable Development Goals -- Disrupting Active Directory Attacks with Deep Learning for Organic Honeyuser Placement -- Crack Detection on Brick Walls by Convolutional Neural Networks using the Methods of Sub-Dataset Generation and Matching
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|a Computer science—Mathematics
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653 |
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|a Computer Communication Networks
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|a Computer systems
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|a Mathematics of Computing
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|a Computer System Implementation
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|a Artificial Intelligence
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|a Computer networks
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|a Artificial intelligence
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|a Sansone, Carlo
|e [editor]
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|a Madani, Kurosh
|e [editor]
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Communications in Computer and Information Science
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|a 10.1007/978-3-031-37320-6
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|u https://doi.org/10.1007/978-3-031-37320-6?nosfx=y
|x Verlag
|3 Volltext
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|a 006.3
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|a This book constitutes the refereed post-proceedings of the First International Conference and Second International Conference on Deep Learning Theory and Applications, DeLTA 2020 and DeLTA 2021, was held virtually due to the COVID-19 crisis on July 8-10, 2020 and July 7–9, 2021. The 7 full papers included in this book were carefully reviewed and selected from 58 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structuredand unstructured multimodal data sources, natural language understanding andtranslation, and many other application domains
|