TRAMA
This two-volume set CCIS 2465-2466, constitutes of the proceedings of 11th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2024, held in Beijing, China, during November 1–5, 2024. The 55 full papers and 5 short papers included in this volume were carefully reviewed and selected from 135 submissions. The topics cover the following fields connected to computational intelligence and intelligent informatics: intelligent information processing, pattern recognition and computer vision, intelligent optimization and decision-making, advanced control, multi-agent systems, robotics and various applications of computational intelligence methods such as neural networks, fuzzy reasoning, evolutionary computing, machine learning and deep learning.
SOMMARIO
.- Analysis of Machine Learning Models for Stroke Prediction with Emphasis on Hyperparameter Tuning Techniques. .- Feasibility study of classification for music preference level based on galvanic skin response (GSR) and photoplethysmogram (PPG) sensor data with machine learning method. .- Development of a Measurement System based on Level of Interest for Providing Human-friendly Services. .- LCFP-RRT : A Robot Exploration Algorithm Based on Local Constrained Sampling and Frontier Prioritization Classification. .- Research on the Optimization of Pathological Section Slide-stainer Machine Layout Model. .- Evaluation of Session Segmentation Methods Using Behavior and Text Embeddings. .- Multi-Agent Reinforcement Learning for Sparse Reward Tasks using Incremental Goal Enhanced Method. .- Research on Sensor Fault Diagnosis Method Based on KPCA-AE Algorithm. .- Microwave Imaging Fusion for Brain Tumours Detection. .- Development an Active-Caster with Differential Mechanism Utilizing a Twisted-Timing-Belt. .- Reconstruction of Missing Data Completely at Random for Trains Based on Improved GAN. .- Speaker Age Recognition based on Convolution and Transformer Fusion Framework. .- TS-VAT: Efficient Deployment of Teacher-Student Framework in Visual Active Tracking. .- A Preliminary Study of Indicator-based Genetic Programming for Multi-objective Dynamic Flexible Scheduling. .- Cooperative Agentic Framework for Enhanced Function Calling. .- Explainability of CNN Classification Models Using CycleGAN and Their Application to Medical Imaging. .- Designing Message Exchange Limits in Distributed Ship Collision Avoidance Systems. .- Mixture of Experts based Scenario Prediction for Motion Forecasting. .- Vulnerability Verification in Robot Control Using Decision Transformer. .- Robustness Verification of Decision Transformer with Varying Noise-Augmented Data Ratios in Atari Games. .- Solving the Stochastic Resource Allocation Problem through an Adaptive Variable Neighborhood Search Algorithm.