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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1373794615
Titel Futuristic Computational Systems and Advanced Engineering for the Society : Proceedings of the 6th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2024, Volume 2 / edited by Jude Hemanth, Utku Kose, Nabi Ibadov, Ismail Serkan Uncu, Hamit Armagan
Person(en) Hemanth, Jude (Herausgeber)
Kose, Utku (Herausgeber)
Ibadov, Nabi (Herausgeber)
Uncu, Ismail Serkan (Herausgeber)
Armagan, Hamit (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2025
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2025
Umfang/Format Online-Ressource, XXII, 207 p. 60 illus., 45 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-031-94599-1
Printed edition:: ISBN: 978-3-031-94601-1
Printed edition:: ISBN: 978-3-031-94602-8
Inhalt Optimization of Language Models for Product Feed Enrichment: LM-PFE -- Deep Learning Algorithms for Automatic Text Summarization in Academic Studies -- Multichannel Convolutional Networks for Classification and Localization of Construction and Demolition Waste -- Optimizing Hybrid CNN-RNN-Transformer Models for Multiclass Classification Tasks -- Artificial Neural Networks for Predicting Asphalt Fatigue Life: Investigating Material and Loading Parameters with a Comprehensive Dataset and Addressing Model Intricacies -- Cyber Security and Artificial Intelligence in Military Aviation: Threats and Advancements -- Keyword Extractıon from Turkish Text Using Natural Language Processing Techniques -- Semi-Structured Data Streaming and Anomaly Detection in a Big Data Environment with Spark -- Integration Deep Learning Models into Personalized Search -- Examining the audience comments of the BBC Learning English channel videos with LDA Topic Analysis -- Albanian Crossword Generation with Artificial Intelligence -- A Deep Learning-Based Reinforcement Algorithm for the Diagnosis of Glioma -- Cryptography with Artificial Intelligence: An Overview -- IoT Sensors Based Association Analysis Between the Number of Detections and the Progress of Construction Works -- A Question Answering System Using Deep Learning Techniques in The Education Domain
Persistent Identifier URN: urn:nbn:de:101:1-2508140406401.397197458559
DOI: 10.1007/978-3-031-94600-4
URL https://doi.org/10.1007/978-3-031-94600-4
ISBN/Einband/Preis 978-3-031-94600-4
Sprache(n) Englisch (eng)
Beziehungen Engineering Cyber-Physical Systems and Critical Infrastructures ; 16
Sachgruppe(n) 370 Erziehung, Schul- und Bildungswesen

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