Full Description
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.- Access Control System Using Facial Recognition on Raspberry Pi.- MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems
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.
