Computational Intelligence and Industrial Applications
Description
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.
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Content
.- 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.
.- Research on rice grain detection method based on MATLAB image processing.
.- Two Time Scale Partial Unknown Dynamics System Tracking Control Based On Off-policy Inverse Reinforcement Learning.
.- MFTCP: Multiple Factors based Test Case Prioritization.
.- Efficient and Accurate Point Cloud Registration with Sparsepoint Transformer for Landslide Detection.
