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Engineering Applications of Neural Networks: 26th International Conference, EANN 2025, Limassol, Cyprus, June 2629, 2025, Proceedings, Part II [Mīkstie vāki]

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  • Formāts: Paperback / softback, 301 pages, height x width: 235x155 mm, 123 Illustrations, color; 13 Illustrations, black and white; XXXV, 301 p. 136 illus., 123 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2582
  • Izdošanas datums: 22-Jun-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031961986
  • ISBN-13: 9783031961984
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Engineering Applications of Neural Networks: 26th International Conference, EANN 2025, Limassol, Cyprus, June 2629, 2025, Proceedings, Part IIPalielināt
  • Formāts: Paperback / softback, 301 pages, height x width: 235x155 mm, 123 Illustrations, color; 13 Illustrations, black and white; XXXV, 301 p. 136 illus., 123 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 2582
  • Izdošanas datums: 22-Jun-2025
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031961986
  • ISBN-13: 9783031961984
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031961984.html
The two-volume set CCIS 2581 and 2582 constitutes the refereed proceedings of the 26th International Conference on Engineering Applications of Neural Networks, EANN 2025, held in Limassol, Cyprus during June 2629, 2025.



The 41 full papers included in these proceedings were carefully reviewed and selected from 101 submissions. These papers demonstrate the vitality of Artificial Intelligence algorithms and approaches, as well as AI applications.
.- A Human-Centric Decision Support System for Zero-Defect Manufacturing
Enabled by Human-in-the-Loop Learning.


.- A Norm-Chatbot: Local LLM-Vision with Vision-based RAG for Complex
Production Documents and Task-Specific Responses.


.- Artificial Intelligence versus Food Wastage in Bakeries.


.- Assistive X for Amyotrophic Lateral Sclerosis.


.- Autonomous Navigation in Swarm of UAVs Using Spatio Temporal Data and
Constrained-Reinforcement Learning.


.- Data-Driven BLEVE Overpressure Prediction Using Explainable Machine
Learning.


.- ESN architectures for industrial process modelling to develop digital
twins.


.- Harnessing Machine Learning for Rain Induced Landslide Detection and
Analysis.


.- Leveraging Computational Geometry for Data Augmentation in Medical Flow
Fields Classification.


.- Machine Learning Analysis of Dissolved Oxygen at the Hydrological Station
of C. Giannouli Greece.


.- Privacy-Preserving and Personalized AI Modules for E-Commerce Platforms.


.- Quench detection and localization via interpretable machine learning.


.- Spatiotemporal Multiplex Network Model for Predicting Forced Outage
Severity in Distribution Grids.


.- AI-Based Water Quality Monitoring Module for the Segura Hydrographic
Confederation Platform.


.- An Integrated Approach for Short-Term Forecasting of Highway Vehicle Flows
Based on Singular Spectrum Analysis and Artificial Neural Networks.


.- Assessing Mobility Policies by Traffic Simulation and Change Detection.


.- Automatic long-term forecasting of mortality rates with generalized
regression neural networks.


.- Contextualized segmentation of milling processes using discrete rule-based
pattern recognition.


.- Estimation of river Ebro streamflow using Fuzzy Inference Systems & FCM.


.- Forecasting vehicle crossing volumes by using Nonlinear Autoregressive
Neural Networks sets.


.- Retrospective clustering of COVID-19 mortality time series using dynamic
time warping.