Computational Intelligence and Industrial Applications
11th International Symposium, ISCIIA 2024, Beijing, China, November 1–5, 2024, Proceedings, Part I
Sorozatcím: Communications in Computer and Information Science; 2465;
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A termék adatai:
- Kiadó Springer Nature Singapore
- Megjelenés dátuma 2025. április 13.
- Kötetek száma 1 pieces, Book
- ISBN 9789819647521
- Kötéstípus Puhakötés
- Terjedelem415 oldal
- Méret 235x155 mm
- Nyelv angol
- Illusztrációk XIX, 415 p. 217 illus., 186 illus. in color. Illustrations, black & white 653
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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.
Tartalomjegyzék:
.- Gaussian and Non Gaussian Noise Effects on Data Driven Modeling: A Comparative Investigation.
.- Fuzzy Based Head Attitude Estimation for Improved Students’ Concentration Evaluation.
.- Quantitative Calculation Method for Growth Status of Chinese Cabbage based on YOLOv5 Network with Multivariate Linear Fitting.
.- Lightweight underwater target detection algorithm based on improved yolov8.
.- Research on Temperature Error Calibration Method of Fluxgate Sensor.
.- IMDRSN BiLSTM for Rolling Bearing Fault Diagnosis.
.- Dynamic Optimization of CHP Unit Variable Load Process Based on Hybrid of Gauss Pseudospectral Method and Direct Shooting Method.
.- A Multi stage Noise Suppression Network for Segmenting Polyp Images Containing Noise Interference.
.- Research of Sequential Recommendation Algorithm Based on Contrastive Learning and Causal Learning.
.- Psychological Crisis Detection in Crisis Hotline Chats Based on Weighted Bidirectional Long Short Term Neural Network.
.- Load Prediction Model of Gas Boiler Generator Set Based on CNN LSTM.
.- Multi objective Task Allocation Algorithm for Medical Scenarios Based on MOIACO.
.- Feasibility Analysis of Optimization Models for Natural Gas Distribution Networks Using Machine Learning.
.- Identification of Luggage Stacked Disorderly Based on Image Analysis.
.- An Embedded System of the Measurement Instrument Applied in Aluminum Electrolytic Cells..
.- Proposal on Virtual User Profile Generation for Explainable Recommendation.
.- Agent based Modeling and Cultural Integration after Mergers and Acquisitions in State Owned Enterprise.
.- Finite Element Simulation of TFY YH Anti-slip Device.
.- A Numerical Study of Solar Pumped Lasers with Multiple Compound Parabolic Concentrator with Length Extension.
.- Graph Attention Convolutional Neural Network combined with Transformer Classification Method for Small Sample Datasets.
.- State of Health Estimation of Lithium ion Batteries Based on LLM BiLSTM Model.
.- Research on Heterogeneous Multi Agent Coalition Formation Method Based on Auction Algorithm.
.- Environment Integrated Adaptive Cognitive Training System Based on AugmentedReality and Intelligence.
.- Heterogeneous Map Fusion Method of Generalized Voronoi Diagram (GVD) and OctoMap Based on Point Cloud.
.- Multi objective evolutionary algorithm based graph neural network architecture search.
.- Performance Evaluation of a Combined Convolutional AutoEncoder and Image Recognition Model for Large Scale Images.
.- A pose estimation method for fisheye cameras based on the EPnP algorithm.
.- ISAE GZSL: Interpolated Incomplete Semantic Attribute Enhancement for Generalized Zero Shot Learning.
.- Posture Detection for Enhancing Elderly Daily Exercise via Reclining Chair.
.- Novel least mean square based adaptive estimator for unknown periodic disturbances.
