Futuristic Computational Systems and Advanced Engineering for the Society

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This book provides the most recent, quality research papers accepted and presented in the 6th International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2024), held in 26-27-28 September 2024 at Warsaw, Poland. Objective of the book is to provide important and innovative research for developmentsimprovements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from ICAIAME 2024, the book ensures a perspective in terms of especially futuristic solution approaches to advance the society through innovative engineering efforts. The book allows researchers and practitioners from both academia as well as industry to exchange, share their ideas and keep themselves up to date (in terms of knowledge) in the context of the latest research efforts and further opportunities arising. As the proceedings of the ICAIAME 2024, the book eventually plays a remarkable, active role in accumulating the most recent, significant works of artificial intelligence and applied mathematics to shape both the present and future of engineering disciplines.


Presents advanced computational systems and advanced engineering for the society Proceedings of the 6th Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2024 Written by experts in the field

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 Extracton 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.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031945991
    • Genre Technology Encyclopedias
    • Editor Jude Hemanth, Utku Kose, Nabi Ibadov, Ismail Serkan Uncu, Hamit Armagan
    • Lesemotiv Verstehen
    • Anzahl Seiten 207
    • Herausgeber Springer
    • Größe H235mm x B155mm
    • Jahr 2025
    • EAN 9783031945991
    • Format Fester Einband
    • ISBN 978-3-031-94599-1
    • Veröffentlichung 14.08.2025
    • Titel Futuristic Computational Systems and Advanced Engineering for the Society
    • Untertitel Proceedings of the 6th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2024, Volume 2
    • Sprache Englisch

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