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Advanced Intelligent Computing Technology and Applications 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part V /

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The 12-volume set CCIS 2564-2575, together with the 28-volume set LNCS/LNAI/LNBI 15842-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The 523 papers presented in these proceedings b...

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Autor corporatiu: SpringerLink (Online service)
Altres autors: Huang, De-Shuang (Editor), Zhang, Chuanlei (Editor), Zhang, Qinhu (Editor), Pan, Yijie (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edició:1st ed. 2025.
Col·lecció:Communications in Computer and Information Science, 2568
Matèries:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Accés en línia:https://doi.org/10.1007/978-981-96-9955-1
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Taula de continguts:
  • -- Evolutionary Computation and Learning.
  • Multilevel memetic community detection algorithm based on Jaccard mutation and multi neighbor search: MMCD-JM.
  • Contribution Based Adaptive Multi-Population Artificial Bee Colony Algorithm for Feature Interaction Selection on High-Dimensional Data.
  • A Multi-Phase Hybrid Optimization Framework Integrating Active Subspace PSO and Periodic Pattern Search for 3D Path Planning.
  • Fusion of ECA-Net with Hamiltonian Deep Neural Networks and Dynamic Step Size Optimization.
  • An Unsupervised CLIP-Based Hashing Framework with Distribution Optimization.
  • Optimization of Marine Meteorological Prediction Accuracy via Multi Parameter Fusion.
  • An improved contribution based cooperative co-evolution with adaptive computational resource allocation.
  • Surrogate-Assisted Stochastic Programming with Collective Perception for VR Task Offloading.
  • Improved BPSO for TDMA Scheduling in Ad hoc.
  • Multi-Task Allocation and Path Planning for AUV in Seabed Harvesting Operations within Marine Ranching.
  • Signal Processing.
  • MedMEN: Multi-granularity Encoding Network for Medical Visual Question Answering.
  • SimAM-UNet: A High-Fidelity Music Denoising Model in Complex Environments.
  • CB-PSR: Adaptive Contextual Biasing for Prompt-driven Speech Recognition.
  • Epileptic Seizure Detection Using Deep Adversarial Metric Learning.
  • RCDS: High-Precision Displacement Measurement Based on RFID Mutual Coupling Signal Feature Analysis.
  • Swarm Intelligence and Optimization.
  • ALMBO: An Effective Multi-Fidelity Bayesian Optimization Method for Mixed-Variable Hyperparameter Optimization.
  • A Discrete Mayfly Optimization Algorithm for the Traveling Salesman Problem and Its Application in Automated Guided Vehicle Routing Optimization.
  • A Dynamically Enhanced Grey Wolf Optimizer for Real-Time Error Compensation in Logistics Sorting Encoders.
  • Advanced Multi-space Evolutionary Search for Solving Large-scale Optimization Problems.
  • An Adaptive Gradient-directed Differential Evolution Algorithm for Training Neural Networks.
  • GAPSO-ACO: Graph Attention-PSO Enhanced Ant Colony Optimization for Capacitated Vehicle Routing Problems.
  • Dynamic multi-objective optimization algorithm based on individual transfer and diversity maintenance.
  • A Hybrid Reinforcement Learning Method for Mixed Flow Chemical Production Scheduling Problem with Material Distribution.
  • Multi-Directional Yielding Snake Optimizer with Pull-Push Optimization for Engineering Design Problem.
  • A Q-learning Hyper-Heuristic for Energy-Efficient Integrated Distributed Hybrid Flow Shop Scheduling.
  • A Two-stage Q-learning-based Hyper-heuristic Evolutionary Algorithm for the Distributed Hybrid Flow Shop Scheduling Problem with Heterogeneous Factories.
  • LLM-PSO: A Semantically Enhanced UAV Path Planning Algorithm Based on DeepSeek.
  • An Approach to Develop Assurance Models toward Safety of the Intended Functionality.
  • FDBSCAN: A Dynamic Fairness Optimization Approach for Density-Based Clustering.
  • A Dual-Indicator Guided Multi-Objective and Many-Objective Particle Swarm Algorithm Applied to Neural Network Architecture Search.
  • An Improved CBBA Algorithm for Multi-UAV Multi-Task Allocation in Dynamic Scenarios.
  • Personalized Federated Learning with Adaptive Regularization.
  • A Cooperative Optimization Framework for Semi-Supervised Military Object Detection in Complex Environments.
  • Memristive Binary Firefly Algorithm with Cosine Similarity.
  • A Novel UAV Path Planning Approach: DE-SPSO .
  • The Feature Selection Algorithm based on Cockroach Swarm Optimization Integrating Mutual Information and Granular Balls.
  • Virtual Reality and Human-Computer Interaction.
  • CSFA-PMCCNN: a Parallel Multiscale Convolutional Capsule Neural Network Based on Channel-Space-Frequency Attention Mechanism for Speech Imagery EEG Signals Classification.
  • CPR-KANsformer: An Adaptive Multi-dimensional CSI Feature Extraction Model for Human Activity Recognition.
  • Masked Appearance Restoration for High Resolution Talking Face Generation.
  • A Virtual Reality-based Platform for Cross-language Conferences.
  • MPC-augmented Reinforcement Learning for Motion Cueing Algorithms in Driving Simulators.
  • A Phoneme-Aware Multi-Task Learning Framework with Dynamic Prioritization for Speech Emotion Recognition.
  • Lightweight Multimodal Physiological Signal Fusion for Motion Sickness Detection and Prediction in VR.

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