Deep Learning Theory and Applications [[electronic resource] ] : 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 / / edited by Ana Fred, Carlo Sansone, Kurosh Madani

• Autore: Fred Ana
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (163 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Computer systems; Computer networks; Computer science—Mathematics; Artificial Intelligence; Computer System Implementation; Computer Communication Networks; Mathematics of Computing
• Altri autori: SansoneCarlo MadaniKurosh
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Deep Learning Theory and Applications
• ISBN: 3-031-37320-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996546829503316
• Lo trovi qui: Univ. di Salerno
• Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 1854