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

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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Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Huang, De-Shuang (Editor), Pan, Yijie (Editor), Chen, Wei (Editor), Li, Bo (Editor)
Formato: Electrónico eBook
Lenguaje:inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Edición:1st ed. 2025.
Colección:Lecture Notes in Bioinformatics, 15866
Materias:
Computational intelligence.
Computer networks .
Machine learning.
Application software.
Computational Intelligence.
Computer Communication Networks.
Machine Learning.
Computer and Information Systems Applications.
Acceso en línea:https://doi.org/10.1007/978-981-95-0027-7
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Tabla de Contenidos:
  • -- Biomedical Data Modeling and Mining.
  • IMVSC: An Improved Multiview Subspace Clustering in Multimodal Medical Image Application.
  • Pathway Variational Auto Encoder for Survival Prediction.
  • Predicting MiRNA-Disease Associations Using Chebyshev Graph Convolution and Graph.
  • A Hybrid Architecture for 3D Abdominal Medical Images Based on Mamba.
  • MoRE: Structured Multisignal Encoding for Human Disposition Recognition from Short Media Clips.
  • FPLRDGraph-DTA: Fusing Prior Features and Long-Range Dependent Sequence Features for Drug-Target Affinity Prediction.
  • A Dual-Loss-GCN Model for Cuffless Blood Pressure Estimation Using Photoplethysmography.
  • Graph Attention Network and Dynamic Adjustment Mechanism for Drug Recommendation.
  • Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking.
  • Anatomy-aware Mixture of Experts for Medical Vision-Language Pre-training.
  • SC-AGR: Spatially-Constrained Attention for Context-Aware Graph Representation in Histopathology Whole Slide Image Analysis.
  • MPD-MFF: A Multimodal Parkinson's Disease Detection Method Based on Multi-Feature Fusion.
  • An Efficient Metadata Processing Method Based on Attention Mechanism.
  • MKDTI: Predicting Drug-target Interactions Via Multiple Kernel Fusion on Graph Attention Network.
  • BiGAMR-Net: Bidirectional Gated Attention and Multi-scale Residual Network for Polyp Segmentation.
  • HERMES: Heterogeneous Mixture of Experts Based on Segments for Auditory Attention Decoding.
  • Advanced Predictive Analytics for Hemorrhagic Complications: A Multi Modal Contrastive Learning and Stacking Ensemble Approach.
  • A Prediction Method for Adult Height of Children Based on ACPSO-SVR.
  • Drug–Target Binding Affinity Prediction Based on an Improved Kolmogorov–Arnold Network and Pretrained Models.
  • Landviewer: Characterization of Tissue Landscapes with Multi-view Graph Learning from Spatially Resolved Transcriptomics.
  • Inter-Relationship Between Pain and Depressive Symptoms in Chinese Middle-Aged and Older People: A Network Analysis.
  • SR-Net: High-Precision Hippocampal Segmentation and Radiomics-Based Pipeline for Alzheimer's Disease Diagnosis and Prediction.
  • HNGF-NET: Hybrid Neural-Gabor Fusion Network for Brain Glioma Segmentation.
  • CorGPT: Coronary Angiography Imaging Analysis Using Large Medical Vision-Language Models.
  • M3Diff: Semantic Mask-Guided 3D Medical Image Synthesis via Mamba-U Net Hybrid for Data Augmentation.
  • KSIR-MIL: Key Region Selection and Instance Refinement for Multi Instance Learning in Whole Slide Image Classification.
  • A Medical Image Segmentation Network for Low-Resource Scenario.
  • OCTAMLLA-UNet: Leveraging Multi-Scale Linear Local Attention for Accurate OCTA Retinal Image Segmentation.
  • Mitigating High-Scale Dominance in WSI Classification: A Cross-Attention and Hard Instance Mining Framework.
  • Drug-Target Interaction prediction based on lightweight MoE.
  • PLHGMDA: Pre-trained Language model and Heterogeneous Graph neural network for MiRNA-Disease Association Prediction.
  • DCA-Enhancer: A Dual-Scale Convolutional Attention Network for Accurate Enhancer Identification and Strength Prediction.
  • Predicting Antibiotic Resistance Genes Using a Hybrid Dataset with NT Model and BLAST Validation.
  • Masked Bi-LSTM with Unsupervised Encoding for Genomic Breeding Value Estimation.
  • Intelligent Computing in Drug Design.
  • Generating a Trustworthy Hypergraph for Traditional Chinese Medicine Prescription Evaluation and Screening.
  • DrugGAN-MSM: A Generative Adversarial Approach to Molecular Design Integrating Masked Modeling and Multi-Objective Optimization.
  • CroMamba-DTA: Cross-Mamba for Drug-Target Binding Affinity Prediction.
  • CGLDM: A Conditional Geometric Latent Diffusion Model for 3D Molecular Generation.
  • MetaGT-HGN: A Heterogeneous Graph Neural Network Based on Meta-Learning and a Graph Transformer for Drug Repurposing.
  • Single Cell Spatial Transcriptome.
  • Spatial Transcriptomics Domain Identification Algorithm Based on Multi Scale Contrastive Learning.
  • Low-Rank Multiple Kernel Model based on Local Structures Learning and Adaptive Similarity Preserving for scRNA-seq Data Clustering.
  • scMGCC: A Self-Supervised Multi-Level Graph Contrastive Learning Method for scRNA-seq Data Clustering.
  • SMTFusion: Multi-Order Topological Cell Graphs for Single-Cell Multi-Omics Clustering.

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