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
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Inhaltsangabe

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.

Produktdetails
  • Erscheinungsdatum: 24.01.2026
  • Autor/Autorin: Václav Snásel
  • Reihe: Springer Nature Proceedings excluding Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 44.1 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 436 Seiten
  • ISBN: 9783032130488
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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