Xin / Ma / She Computational Intelligence and Industrial Applications

11th International Symposium, ISCIIA 2024, Beijing, China, November 1–5, 2024, Proceedings, Part II
Erscheinungsjahr 2025
ISBN: 978-981-964756-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 337 Seiten

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Xin, Bin

Ma, Hongbin

She, Jinhua

Cao, Weihua

Inhaltsverzeichnis

.- 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.