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

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

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Соавтор: SpringerLink (Online service)
Другие авторы: Huang, De-Shuang (Редактор), Chen, Wei (Редактор), Pan, Yijie (Редактор), Chen, Haiming (Редактор)
Формат: Электронный ресурс eКнига
Язык:английский
Опубликовано: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Редактирование:1st ed. 2025.
Серии:Lecture Notes in Computer Science, 15851
Предметы:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Online-ссылка:https://doi.org/10.1007/978-981-96-9849-3
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Оглавление:
  • -- Machine Learning.
  • A Bayesian Inference-Enhanced Evolutionary Algorithm for Sleep Scheduling of Software-Defined Radio Sensors.
  • A Deep Clustering Method for Single-cell Data Based on Low Rank Representation.
  • GNNHacker: Adaptive Subgraph Backdoor Attacking Method with Saliency Analysis and Joint Optimization.
  • Knowledge-Constrained Intelligent Learning for Agricultural Yield Prediction in Complex Cropping Systems.
  • Formal Theorem Generation via MCTS with LLM-Guided Process Optimization.
  • ENGCL: Graph Contrastive Learning via Ego-Preservation and Neighborhood Learning.
  • Retrieval and Ranking Model of Scientific Literature Based on MiniLM Formula and AHP.
  • MSAF-YOLOv11: Multi-Scale Self-Adaptive Fusion Module for Efficient and Robust Detection in Underground Coal Mining.
  • A Federated Active Learning Based on Prototype-Based Hierarchical Clustering.
  • FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning.
  • RG3: Mitigating Memorization of Graph Diffusion Model in One Denoising Step.
  • True-to-Life Behavior Relationship Modeling for Multi-behavior Recommendation.
  • Multi-Task Learning Based on Dense Feature Pyramid Network and Multi Scale Attention for Class-Imbalanced Hyperspectral Image Class.
  • Multi-range Random Walk based Graph Neural Network.
  • TinyVision: Distributed Vision-Language Model with Efficiency and Privacy for Edge Deployment.
  • A Novel Multi-stage Ensemble Method for Noisy Labels Using Sample Selection and Label Correction.
  • Smart Contract Vulnerability Detection with Feature-Enhancement and Self Supervised Training.
  • FedSatch: A Dynamic Framework for Enhancing Original Sample Utilisation in Federated Semi-Supervised Learning.
  • ARMQwen2: Enhancing C Language Decompilation on ARM Platform Using Large Language Model.
  • Gaze-Driven Active Speaker Detection in Meetings.
  • A Lyapunov-Based Convex Optimal Control Approach via Input Convex Transformer.
  • Unpaired Image Style Translations Using Mamba Adversarial Networks.
  • Personalized Incentive Mechanism in Federated Learning via Variational Expectation Maximization.
  • Multi-Level Dynamic Gated Interaction Fusion Network for Remote Sensing Visual Question Answering.
  • CPTCP: Incorporating Convolutional Neural Network into Text-Vector Based Test Case Prioritization for Compilers.
  • GEETI: Graph Embedding-Enhanced Textual Inversion for Chinese Harmful Meme Detection and Identification.
  • Abstractive Model for Enhanced Text Summarization through Contrastive Learning to Boost T5 Representations.
  • MLPF-Net: Multi-Level Progressive Fusion and Cross-Domain Attention Network for Multi-Modality Image Fusion.
  • Contrastive Learning for Robust Time Series Anomaly Detection in Cyber Physical Systems.
  • A Trapezoidal Fuzzy Broad Learning System Based on Distance Correlation.
  • Accurate Classification for Government Data: A Tree-of-Thoughts-Driven Few-Shot Learning Approach.
  • An Efficient Attention-Enhanced Diffusion Model for Surface Defect Detection.
  • FedBKT: Federated Learning with Model Heterogeneity via Bidirectional Knowledge Transfer with Mediator Model.
  • Partitioned Dual Weighting Strategy for Combining Regression Estimates.
  • Memory-Enhanced Cognitive Planning: A Framework for Improving Long Term Planning in LLM.
  • A Defense Against Label Flipping Attacks in Federated Learning Using Output Layer Gradients.
  • Causal Pathway-Integrated Generative Adversarial Networks for Counterfactually Fair Data Generation.
  • Mitigating Heterogeneous Instance-Dependent Label Noise in Federated Learning.
  • FPGA-Based Processing-in-Memory with Optimized Multi-BRAM Reduction for Improved Latency-Cost Trade-off.
  • DRFormer: Dynamic Replay-Driven Transformer for Domain-Incremental Learning in Brain Tumor Segmentation.
  • A Novel Transformer Architecture for Runoff Forecasting.
  • FedAF: Federated Learning Framework Based on Attention Mechanisms and Fisher Information Matrix.
  • Application of Electronic Tongue Combined with DDPM-CNN-Transformer Hybrid Model for Longjing Tea Origin Detection.

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