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  • Computational Intelligence and Industrial Applications: 11th International Symposium, ISCIIA 2024, Beijing, China, November 1–5, 2024, Proceedings, Part II

    Computational Intelligence and Industrial Applications by Xin, Bin; Ma, Hongbin; She, Jinhua; Cao, Weihua;

    11th International Symposium, ISCIIA 2024, Beijing, China, November 1–5, 2024, Proceedings, Part II

    Sorozatcím: Communications in Computer and Information Science; 2466;

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    Hosszú leírás:

    "

    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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    Tartalomjegyzék:

    "

    .- 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.

    "

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