Computational Intelligence and Industrial Applications : 11th International Symposium, ISCIIA 2024, Beijing, China, November 1–5, 2024, Proceedings, Part II / / edited by Bin Xin, Hongbin Ma, Jinhua She, Weihua Cao

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (XIX, 337 p. 196 illus., 172 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Machine learning; Multiagent systems; Automatic control; Robotics; Automation; Image processing - Digital techniques; Computer vision; Mechatronics; Artificial Intelligence; Machine Learning; Multiagent Systems; Control, Robotics, Automation; Computer Imaging, Vision, Pattern Recognition and Graphics
• Persona (resp. second.): XinBin; MaHongbin; SheJinhua; CaoWeihua
• Nota di contenuto: -- 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Computational Intelligence and Industrial Applications
• ISBN: 981-9647-56-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910996494203321
• Lo trovi qui: Univ. Federico II
• Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2466