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

• Autore: Snásel Václav
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (655 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Signal processing; Computer networks - Security measures; Computational Intelligence; Artificial Intelligence; Signal, Speech and Image Processing; Mobile and Network Security
• Altri autori: Snášel
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Intelligent Data Analysis and Applications
• ISBN: 3-032-13048-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911061863103321
• Lo trovi qui: Univ. Federico II
• Serie: Smart Innovation, Systems and Technologies, . 2190-3026 ; ; 466