Muutke küpsiste eelistusi

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 [Kõva köide]

Edited by , Edited by , Edited by , Edited by , Edited by
  • Formaat: Hardback, 257 pages, kõrgus x laius: 235x155 mm, 29 Illustrations, color; 29 Illustrations, black and white; XVIII, 257 p. 58 illus., 29 illus. in color., 1 Hardback
  • Sari: Engineering Cyber-Physical Systems and Critical Infrastructures 16
  • Ilmumisaeg: 09-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031945999
  • ISBN-13: 9783031945991
Teised raamatud teemal:
  • Kõva köide
  • Hind: 206,20 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 242,59 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
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 2Suurem pilt
  • Formaat: Hardback, 257 pages, kõrgus x laius: 235x155 mm, 29 Illustrations, color; 29 Illustrations, black and white; XVIII, 257 p. 58 illus., 29 illus. in color., 1 Hardback
  • Sari: Engineering Cyber-Physical Systems and Critical Infrastructures 16
  • Ilmumisaeg: 09-Sep-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031945999
  • ISBN-13: 9783031945991
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031945991.html

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 developments—improvements 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.

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.