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

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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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Huang, De-Shuang (Editor), Pan, Yijie (Editor), Chen, Wei (Editor), Li, Bo (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edition:1st ed. 2025.
Series:Lecture Notes in Computer Science, 15848
Subjects:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Online Access:https://doi.org/10.1007/978-981-96-9875-2
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Table of Contents:
  • -- Intelligent Data Analysis amp Prediction.
  • MSFformer: Multi-Scale Spatiotemporal Fusion Transformer with Preserving Non Stationary Information for Time Series Forecasting.
  • Quantifying the Impact of Coaching Effectiveness Based on the TEL Model.
  • SSF-GCN: Sensor-Spatial Fusion Graph Network for RUL Prediction.
  • AW-SARIMA: Efficient Hybrid Framework for Nonstationary Time Series Forecasting via DWT and Adaptive Thresholding.
  • Research on Intelligent Evaluation Model Based on Large Models.
  • Learner Empowered Knowledge Tracing Model.
  • A Few-Shot Intrusion Detection Method Combining Model-Agnostic Meta-Learning And Siamese Neural Network.
  • How to Use Social Media for Bitcoin Price Prediction: A Multi-Source Data Fusion Method Based on CSTNet.
  • CMulti-Feature Fusion Method for Programming Exercise Difficulty Assessment Using CodeBERT.
  • Scene Graph-based Semantic Enhancement for Multimodal Fake News Detection.
  • IDMixer: Decomposition Spatial-Temporal Identity for Traffic Flow Forecasting.
  • A Self-Attentive Temporal-Spatial Anomaly Detection Method for IoT Time Series.
  • Adaptive Cross-Variable Spectral Filtering for Time Series Forecasting .
  • Hybrid Car-Following Model with LSTM and RF in Driver Behavior.
  • A Mixture-of-Experts Framework with Fake Review Detection for Robust Recommendation Systems.
  • Multi-scale Dual-path Transformer Network for Multivariate Time Series Forecasting.
  • BFKT: Enhancing Knowledge Tracing based on Forgetting Mechanisms and Multi Feature Fusion.
  • Macro-Micro Feature Aware Transformer for Dissolved Oxygen Prediction.
  • MTDTSN: Multi-Scale Spatiotemporal Networks with Exogenous Factors for Bus Passenger Flow Prediction.
  • AMSformer: Adaptive Transformer with Convolutional Multi-scale Feature Interaction for Time Series Forecasting.
  • A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting.
  • CycleKAN: Integrating Kolmogorov-Arnold Networks with Explicit Cycle Modeling for Efficient Urban Traffic Forecasting.
  • Capability-Aware Knowledge Tracing for Learner’s Knowledge Mastery Modeling.
  • AGTCN: An Adaptive Gating Approach in Spatiotemporal Convolutional Networks for Accurate Air Quality Prediction.
  • TrafusionNet: Efficient Multi-Agent Trajectory Prediction with Temporal-Social Perception Mamba and Diffusion Model.
  • FedVCP: Efficient Crowd Flow Prediction Employing Multi-Source External Factors in Vertical Federated Learning.
  • Shareformer: A Patch Transformer Model with Shared Attention for Multivariate Time Series Forecasting.
  • A Novel Random Sample Partition-Based Ensemble Algorithm for Credit Card Fraud Detection.
  • StarHAR: A Lightweight and Low-latency Framework for Sensor-based Human Activity Recognition.
  • Trend Prediction First, Personality Refinement After. KanPaTST: A KAN Fine tuned Patch Time Series Transformer for Public Opinion Popularity Forecasting.
  • CEDMix: Contrast-Enhanced Dynamic Channel Mixing for Correlated Time Series Forecasting.
  • NuPreX: Times Series Forecasting for The Nuclear Steam Supply System.
  • Frequency-Aware Robust Multimodal Fake News Detection.
  • Sample Spatial Distribution and Diffusion Time Deviation Based Anomaly Detection Method.
  • Building Extraction from Remote Sensing Images Based on Dual-Stream Feature Fusion Network.
  • Multi-Hop Aware Graph Convolutional Network and Collaborative Transformer for Traffic Flow Prediction.
  • Multi-step Traffic Flow Prediction Based on Reinforced Attention Graph Convolutional Network.
  • CDFNet: Collaborative Decomposition and Forecasting Network for Time Series.
  • S³E-Net: Spatio-Temporal Selective State Expert Network for Traffic Flow Prediction.
  • ECDformer: Enhanced Channel-Dependent Transformer for Multivariate Time Series Forecasting.
  • Rule Generation for Anomalous Behaviors Detection in Enterprises: A Few-Shot Learning Approach via Chain-of-Thoughts.
  • TVCorNet: Time-Variable Correlation Learning Enhancement Network for Multivariate Time Series Forecasting.
  • BiMa-Former: A Dual-Token Hybrid Model with Bidirectional Mamba and Transformer for Temporal- Multivariate Decoupled Forecasting.

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