Advances in Intelligent Data Analysis and Applications : Proceedings of the 9th Euro-China Conference on Intelligent Data Analysis and Applications, July 21-23, 2025, Ostrava, Czech Republic / edited by Václav Snášel, Chu-Chuan Chu, Jeng-Shyang Pan, Anna Esposito, Lingping Kong.

Format:

Book

Author/Creator:

Snásel, Václav.

Contributor:

Snášel

Series:

Smart Innovation, Systems and Technologies, 2190-3026 ; 466

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Signal processing.

Computer networks--Security measures.

Computer networks.

Computational Intelligence.

Artificial Intelligence.

Signal, Speech and Image Processing.

Mobile and Network Security.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Signal, Speech and Image Processing.

Mobile and Network Security.

Physical Description:

1 online resource (655 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

The book is a collection of high-quality research papers presented at 9th Euro-China Conference on Intelligent Data Analysis and Applications, hosted by VSB-Technical University Ostrava, Czech Republic co-sponsored by Nanjing University of Information Science and Technology, China. The book covers areas like intelligent data analysis, computational intelligences, signal processing, and all associated applications of artificial intelligence.

Contents:

GSGOA Grouped and Scaled Gannet Optimization Algorithm

An excellent multi stage adaptive perturbation tumbleweed algorithm for numerical optimization and analysis

Surrogate assisted Tumbleweed Algorithm and Its Application To Engineering Optimization Problems

DCTA Dynamic Cauchy Tumbleweed Algorithm

Power Load Forecasting using Machine Learning Methods

Critical Edge Guided Genetic Algorithm with Adaptive Mutation for Layer2 Network Optimization

Scalable Tensor Ranking in Simplifying MultiCriteria Group Decision Making

An Extension of Efficiency Improvement Models in Data Envelopment Analysis

Statistical and Multimodal Patent Analytics for Decision Support A Clustering and Knowledge Graph Approach

MTLM incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems

An Enhanced Multi Party Immune Algorithm with Adaptive Mechanisms for Wireless Sensor Network Optimization

A Study on the Linguistic Features of DeepSeek Generated Abstracts from the Perspective of Nominalization Metaphor

Deep Learning Assisted Detection of Sarcopenia in Cross Sectional Computed Tomography Imaging

Personalized Federated Learning with Local Aggregation Based on Particle Swarm Optimization

A Reinforcement Learning Based Client Selection Strategy for Efficient Federated Learning

Prophesying Credit Card Frauds using Predictive and Deep Transfer Learning A Comprehensive Experimental Perspective

Detection of malicious network traffic with two stage XAI framework

Comparing the Efficiency of Bank Branches using Financial Ratios and Data Envelopment Analysis

A Multi Branch Enhanced Routing Attention Network for RGBT Tracking

Comparative Phylogenetic Analysis of GPCRs Using ESM2 Embeddings and Traditional Sequence Alignment

Combining Traditional Statistical Modeling and Large Language Models for Interpretable Cognitive Health Assessment in Aging Populations

Automated Model for Diabetes Detection

Storage Aware Evaluation of Sequential Pattern Mining over Synthetic Datasets

Modified DipDECK Deep Clustering Algorithm with Dipbased $K$ means

FineTuning ESM2 for Predicting Ageing Related Human Proteins

Research on Enhancement Mechanism of Pseudo Defense Algorithm in Power Grid Network Security

Research on Model Driven Network Security Space Construction and Multi Constraint Threat Detection Method for Power Monitoring System

Design of Rapid Response and Disposal for Threats Based on SOAR Security Orchestration and Automated Response Technology

Machine Learning for Smart Logistics and Routing A Review

A Mathematical Stacking Ensemble Model for Prediction of Multiple Mental Disorders among Students

Intelligent Threat Perception and Adaptive Defense System for Power IoT Edge Network Based on Multimodal Large Model.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-13048-4

9783032130488

OCLC:

1570553989