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

The 20-volume set LNCS 15842-15861, together with the 4-volume set LNAI 15862-15865 and the 4-volume set LNBI 15866-15869, constitutes the refereed proceedings of the 21st International Conference on Intelligent Computing, ICIC 2025, held in Ningbo, China, during July 26-29, 2025. The 1206 papers pr...

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Détails bibliographiques
Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Huang, De-Shuang (Éditeur intellectuel), Li, Bo (Éditeur intellectuel), Chen, Haiming (Éditeur intellectuel), Zhang, Chuanlei (Éditeur intellectuel)
Format: Électronique eBook
Langue:anglais
Publié: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Édition:1st ed. 2025.
Collection:Lecture Notes in Computer Science, 15858
Sujets:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Accès en ligne:https://doi.org/10.1007/978-981-96-9805-9
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Table des matières:
  • -- Biometrics Recognition.
  • Cross-Resolution Deep Face Recognition via Collaborative Knowledge Distillation.
  • A New Perspective on Speaker Verification: Joint Modeling with DFSMN and Transformer.
  • CT-Gait: Human Gait Recognition Based on Convolutional Networks with Channel Topology Map.
  • Breaking the Calibration Barrier: Lightweight Attention and Multi-Scale Convolutions for Cross-Subject P300 Spellers.
  • MAFF-CrossNet: Multi-scale Attentional Feature Fusion and Cross-writer Network for Offline Signature Verification.
  • Modal-aware Prompting with Missing Modalities for Biosignal-based Emotion Recognition.
  • A Multi-Task Learning Framework for Carotid Plaque Area Measurement in Imbalanced Datasets.
  • Alignment losses for End-to-End Speaker Diarization.
  • Evolutionary Computation and Learning.
  • An Adaptive Transfer Target Strategy and External Guidance for Multitask Evolutionary Optimization.
  • A Q-learning-based Hyper-Heuristic Algorithm for the Muti-objective Integrated Scheduling of Distributed Production and Delivery Problem.
  • A network-assisted evolutionary multitask framework for multi-objective optimization problems with unknown constraints.
  • Elite Annealing Algorithm-Based Adaptive Query Optimization Method.
  • An Adaptive Hybrid Genetic Algorithm and Differential Evolution Strategy with Sub-constraint Population Combination Approach for Multiconstraint Multiobjective Optimization.
  • CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge Devices.
  • Constrained Multi-objective Differential Evolution Framework based on Stage Stratification and Adaptive Epsilon Method.
  • Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision System.
  • A Multi-Strategy Polar Lights Optimizer for Airborne Emergency Material Transportation Tasks in Complex Plateau Regions.
  • Multi-objective Evolutionary Algorithm based on Decomposition with Adaptive Multi-task Knowledge Transfer and Dynamic Adjustment.
  • Unbiased Data-Driven Dynamic Threshold Sparsification for Communication Efficient Federated Learning.
  • SMMT: Siamese Motion Mamba with Self-attention for Thermal Infrared Target Tracking.
  • Signal Processing.
  • UNet-PRFN: A Lightweight Network Based on 3D U-Net for Few-Shot Hyperspectral Image Classification.
  • BDGTA: A Hybrid Neural Architecture for Enhanced RFID Indoor Positioning Using Bidirectional GRU and Sparse Attention Mechanisms.
  • OMDMix: Semi-Supervised Learning for Addressing Noisy Labels.
  • FGSGT: Saliency-Guided Siamese Network Tracker Based on Key Fine-Grained Feature Information for Thermal Infrared Target Tracking.
  • MASEC: Multi-dimensional Adaptive Signal Essence Capturing Framework for Real-time Signal Analysis in Power System.
  • Leverage Automatic Differentiation Routines for Seismic Traveltime Tomography in Tunnels.
  • Hierarchical temporal generative adversarial network-based enhancement of cross subject cross-stage epilepsy electroencephalography data.
  • ML-MultiLoc: Device-Free Passive Multi-Target Indoor Localization Using Multi Label Learning.
  • HIDE: Hyperspectral Imaging Dataset for Camouflaged Target Recognition.
  • TS-Net: An Emotion Recognition Network Based on Temporal-Spatial Features of EEG Signals.
  • Time-Frequency Feature Enhancement Method for Moving Multiple Sound Source Localization in Noisy Environments.
  • LSTM and Hybrid Local-global Transformer Parallel Net: A Novel Method to Recognize the Calls of Newborn Giant Pandas.
  • Research on Rolling Bearing Fault Diagnosis Based on TAGCN-Transformer.
  • Modularity-Guided Adversarial Matrix Factorization for Community Detection Attacks.
  • AFDS-Net: An Attention-Fused Depthwise Separable Network for Acoustic Scene Classification.
  • DynFusion-VC: Zero-Shot Voice Conversion via Optimized Fusion of Features .
  • Efficient Distributed PHD Filtering via Sampling Clustering .
  • Device-free localization based on knowledge distillation method.
  • Exploring Anti-ambiguity Signal Processing for Gesture Recognition in NLoS Spaces.
  • Multi-scale Adaptive Feature Sparse Network for Speech Enhancement in Insect Noise Environments.
  • A speech enhancement method based on Training Lifetime Knowledge Distillation.
  • AP-Fall: Environment-Adaptive Fall Detection via Acoustic Sensing.
  • Personnel Detection via Reinforcement Learning-based Dynamic Parameter Optimization with Vehicle-mounted Ultra-Wideband.
  • Knowledge Tracing Method Based on Multi-Perspective Dynamic Evolution.

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