Intelligence Computation and Applications
14th International Symposium, ISICA 2023, Guangzhou, China, November 18-19, 2023, Revised Selected Papers, Part I
(Sprache: Englisch)
This two-volume set, CCIS 2146 and CCIS 2147, constitutes the refereed proceedings of the 14th International Symposium on Intelligence Computation and Applications, ISICA 2023, held in Guangzhou, China, during November 18-19, 2023.
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Klappentext zu „Intelligence Computation and Applications “
This two-volume set, CCIS 2146 and CCIS 2147, constitutes the refereed proceedings of the 14th International Symposium on Intelligence Computation and Applications, ISICA 2023, held in Guangzhou, China, during November 18-19, 2023. The 82 full papers included in these proceedings were carefully reviewed and selected from 178 submissions. The papers presented in these two volumes are organized in the following topical sections:
Part I: Frontiers of evolutionary Intelligent Optimization Algorithms; Exploration of computer vision; Machine learning and its applications.
Part II: Machine Learning and its applications; Big data analysis and Information security; Intelligent application of computer.
Inhaltsverzeichnis zu „Intelligence Computation and Applications “
.- Frontiers of Evolutionary Intelligent Optimization Algorithms..- An Improved NSGA-II Algorithm with Markov Networks.
.- An Improved Particle Swarm Optimization Algorithm Combined With Bat Algorithm.
.- An Improved Whale Optimization Algorithm Combined With Bat Algorithm and Its Applications.
.- Fusion of Nonlinear Inertia Weight and Probability Mutation for Binary Particle Swarm Optimization Algorithm.
.- An Evolutionary Algorithm Based on Replication Analysis for Bi-Objective Feature Selection.
.- Improved Particle Swarm Algorithm Using Multiple Strategies.
.- A Reference Vector Guided Evolutionary Algorithm with Diversity and Convergence Enhancement Strategies for Many-objective Optimization.
.- Research on Mine Emergency Evacuation Scheme Based on Dynamic Multi-objective Evolutionary Algorithm.
.- An Adaptive Dynamic Parameter Multi-Objective Optimization Algorithm.
.- Adaptive Elimination Particle Swarm Optimization Algorithm for Logistics Scheduling.
.- A Modified Two Arch2 Based on Reference Points for Many- Objective Optimization.
.- Floorplanning of VLSI by Mixed-Variable Optimization.
.- A Multi-Population Hierarchical Differential Evolution for Feature Selection.
.- Research on State-Owned Assets Portfolio Investment Strategy Based on Improved Differential Evolution.
.- A Particle Swarm Optimization Algorithm with Dynamic Population Synergy.
.- Preference-Based Multi-Objective Optimization Algorithms Under The Union Mechanisms.
.- Auto-Enhanced Population Diversity with Two Options.
.- Exploration of Computer Vision.
.- Robot Global Relocation Algorithm Based on Deep Neural Network and 3D Point Cloud.
.- Safety Zone and Its Utilization in Collision Avoidance Control of Industrial Robot.
... mehr
.- Entropy of Interval Type-2 Fuzzy Sets and Its Application in Image Segmentation.
.- An Improved Algorithm for Facial Image Restoration Based on GAN.
.- A Study of PyTorch-Based Algorithms for Handwritten Digitm Recognition.
.- A High-Quality Video Reconstruction Optimization System Based on Compressed Sensing.
.- Conv and Efficient Multi-Scale Attention Module for YOLOv5.
.- BRA-YOLO: Object Detection Algorithm with Bi-level Routing Attention for YOLOv5.
.- A Pest Detection Algorithm Based on Improved YOLO.
.- Improving Interactive Differential Evolution for Cartoon Face Image Combination.
.- Mask Reconstruction Augmentation and Attention Aggregation for Stereo Matching.
.- Machine Learning and Its Applications.
.- Construction of an Intelligent Salary Prediction Model and Analysis of BP Neural Network Applications.
.- Human Action Recognition Classification Based on 3D CNN Deep Learning.
.- A KNN Algorithm Based on Mixed Normalization Factors.
.- Modified Carnivorous Plant Algorithm Based on L´evy Flight for Enhancing the BP Model.
.- CR-IFSSL: Imbalanced Federated Semi-Supervised Learning with Class Rebalancing.
.- Kernel Fence GAN:Unsupervised Anomaly Detection Model Based on Kernel Function.
.- A News Recommendation Approach Based on the Fusion of Attention Mechanism and User's Long and Short Term Preferences.
.- Research of the Three-dimensional Spatial Orientation for Non-Visible Area Based on RSSI.
.- Collaborative Filtering Recommendation Algorithm Based on Improved KMEANS.
.- Emotion Analysis of Weibo Based on Long Short-Term Memory Neural Network.
.- Human Flow Prediction Model Based on Graph Convolutional Recurrent Neural Network.
.- Entropy of Interval Type-2 Fuzzy Sets and Its Application in Image Segmentation.
.- An Improved Algorithm for Facial Image Restoration Based on GAN.
.- A Study of PyTorch-Based Algorithms for Handwritten Digitm Recognition.
.- A High-Quality Video Reconstruction Optimization System Based on Compressed Sensing.
.- Conv and Efficient Multi-Scale Attention Module for YOLOv5.
.- BRA-YOLO: Object Detection Algorithm with Bi-level Routing Attention for YOLOv5.
.- A Pest Detection Algorithm Based on Improved YOLO.
.- Improving Interactive Differential Evolution for Cartoon Face Image Combination.
.- Mask Reconstruction Augmentation and Attention Aggregation for Stereo Matching.
.- Machine Learning and Its Applications.
.- Construction of an Intelligent Salary Prediction Model and Analysis of BP Neural Network Applications.
.- Human Action Recognition Classification Based on 3D CNN Deep Learning.
.- A KNN Algorithm Based on Mixed Normalization Factors.
.- Modified Carnivorous Plant Algorithm Based on L´evy Flight for Enhancing the BP Model.
.- CR-IFSSL: Imbalanced Federated Semi-Supervised Learning with Class Rebalancing.
.- Kernel Fence GAN:Unsupervised Anomaly Detection Model Based on Kernel Function.
.- A News Recommendation Approach Based on the Fusion of Attention Mechanism and User's Long and Short Term Preferences.
.- Research of the Three-dimensional Spatial Orientation for Non-Visible Area Based on RSSI.
.- Collaborative Filtering Recommendation Algorithm Based on Improved KMEANS.
.- Emotion Analysis of Weibo Based on Long Short-Term Memory Neural Network.
.- Human Flow Prediction Model Based on Graph Convolutional Recurrent Neural Network.
... weniger
Bibliographische Angaben
- 2024, 2024, XI, 501 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Kangshun Li, Yong Liu
- Verlag: Springer, Berlin
- ISBN-10: 9819743923
- ISBN-13: 9789819743926
Sprache:
Englisch
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