Atjaunināt sīkdatņu piekrišanu

Intelligent Distributed Computing XVII: 17th International Symposium on Intelligent Distributed Computing, IDC 2024 [Hardback]

Edited by , Edited by , Edited by , Edited by
  • Formāts: Hardback, 272 pages, height x width: 235x155 mm, 73 Illustrations, color; 13 Illustrations, black and white; VIII, 272 p. 86 illus., 73 illus. in color., 1 Hardback
  • Sērija : Studies in Computational Intelligence 1203
  • Izdošanas datums: 22-Sep-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031876385
  • ISBN-13: 9783031876387
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 180,78 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 212,69 €
  • Ietaupiet 15%
  • Grāmata tiks piegādāta 3-6 nedēļas pēc tās publicēšanas.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
Intelligent Distributed Computing XVII: 17th International Symposium on Intelligent Distributed Computing, IDC 2024Palielināt
  • Formāts: Hardback, 272 pages, height x width: 235x155 mm, 73 Illustrations, color; 13 Illustrations, black and white; VIII, 272 p. 86 illus., 73 illus. in color., 1 Hardback
  • Sērija : Studies in Computational Intelligence 1203
  • Izdošanas datums: 22-Sep-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031876385
  • ISBN-13: 9783031876387
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031876387.html

This book includes the scientific outcome of the 17th Annual International Symposium on Intelligent Distributed Systems (IDC2024) which was hosted by the University of Brighton, United Kingdom, 18-19 September 2024.

This book includes all sixteen full papers that were accepted for presentation after a rigorous peer review process by experts in their respective fields. The papers are presented here grouped in five areas of focus, namely distributed systems, cyber security, predictive modelling, blockchain applications, and large language models. They provide a wide range of areas of application that demonstrate the dynamics and constantly evolving nature of distributed systems research.

The authors work in two continents, six countries, and a total of fourteen different institutions and organizations.

The book spans different levels of progress of research, completed projects at institutional level, outcomes of PhD student work, and results that relate to large transnational projects funded by the European Union and other national and international funders.

The authors hope that the readers of this book of proceedings will find the contents informative and an opportunity to engage with new outcomes of innovative research.

The editors are:

Nikolaos Polatidis, Elias Pimenidis, Marcelo Trovati, Mehmet Aydin.

NeuroEvolution algorithms applied in the designing process of biohybrid
actuators.- The Holocron: Leveraging a Dynamic 3D Matrix for Efficient Data
Storage and Retrieval in Strategic Management.- Workloads Scheduling in
Scientific Workflow-as-a-Service Cloud Architectures.- Hybrid Approach Using
LSTM and Gradient Boosting for Accurate and Robust Store Sales Forecasting.-
Enhancing IoT Security with Ensemble Deep Learning: A Lightweight, Robust
Approach to Intrusion Detection.- Clustering-based Identification of
Representative Security Events for Anomaly Detection in Multivariate Sensor
Data.- Securing End-to-End Encrypted File Sharing Services with the Messaging
Layer Security Protocol.- Anomalous Client Detection in Federated Learning.-
Traditional and Bio-inspired Feature Selection for Accurate Fraud Detection.-
Leveraging Deep Learning for Enhanced Software Fault Prediction Using
Error-type Metrics.- A Step Towards Efficient Reduction of Ethereum's
Turing-completeness.- Visualizing Bitcoin's Evolution: Dimensionality
Reduction and Stylized Facts Techniques.- Trends in Intelligent Blockchain:
Insights from Research Papers.- Comparative Study on Automatic Extraction of
Genealogical Data from Ancient Text by Using Large Language Models and Open
AI.- Planless Agents: BDI Plan Generation using LLMs.- Leveraging LLMs for
Smart Cities Qualitative Data Analysis.