Advanced intelligent computing techn...
International Conference on Intelligent Computing (2025 :)

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  • Advanced intelligent computing technology and applications = 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025 : proceedings.. Part XXVII /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Advanced intelligent computing technology and applications/ edited by De-Shuang Huang ... [et al.].
    其他題名: 21st International Conference, ICIC 2025, Ningbo, China, July 26-29, 2025 : proceedings.
    其他題名: ICIC 2025
    其他作者: Huang, De-Shuang.
    團體作者: International Conference on Intelligent Computing
    出版者: Singapore :Springer Nature Singapore : : 2025.,
    面頁冊數: xxi, 519 p. :ill. (some col.), digital ;24 cm.
    內容註: Healthcare Informatics Theory and Methods. -- GaMNet: A Hybrid Network with Gabor Fusion and NMamba for Efficient 3D Glioma Segmentation. -- RSEF: Enhancing Fairness and Accuracy in Hematopoietic Stem Cell Transplantation Survival Prediction through Race-Stratified Ensemble Framework. -- The Cyber-Physical System of Oral Health Monitoring: a Data-Driven Approach for Inference. -- MSSTDCN: A Multi-Scale Spatiotemporal Deep Convolutional Network Based on Power Spectral Density for Cross-Subject Epileptic Seizure Detection. -- Ocular Disease Classification based on Heterogeneous Interaction among Visual, Diagnostic Semantics, and Generative Knowledge. -- Energy Efficiency Evaluation Method Based on CNN-BiGRU-Attention in University Integrated Energy System. -- Adaptive Balancing and Progressive Self-training: An Effective Semi Supervised Method forHistopathological Image Segmentation. -- Multi-Modality and Multi-Grained Transformer for Accurate Radiology Report Generation. -- Fine-Tuning Large Language Models for Early Mental Health Intervention in China: A Culturally Adapted Triage and Therapy Framework. -- Dynamic Bidirectional Attentional Mamba Model for EEG-Based Motor Imagery Classification. -- A Review of Non-Invasive Brain-Computer Interface Rehabilitation Research for Stroke. -- Secure Multicenter Medical Model Inference from Homomorphic Encryption. -- A 3D Liver and Tumor Segmentation Method Based on U-Mamba and Efficient Paired Attention. -- Mamba-Enhanced Decoder with Prototype Consistency for Semi-Supervised Medical Image Segmentation. -- BES-UNet: A Boundary Enhanced Sparse Attention UNet for Skin Lesion Segmentation. -- Memory and Time: A Psychology-Informed Depression Detection. -- WMCTCF: A Wavelet and Multi-scale Convolution based Transformer Cross-Modal Framework for Early Diagnosis of Alzheimer's Disease. -- Cali-rPPG: A Unified Uncertainty-Aware Framework for Remote Photoplethysmography. -- Biomedical Informatics Theory and Methods. -- Noise-aware Self-supervised Electrocardiogram Anomaly Detection. -- A multimodal small feature set-based assisted Alzheimer's disease diagnosis. -- Two-Stage Multi-Stained Cell Analysis with the Segment Anything Model for Pathological Image Segmentation. -- WTPAN-Net: Epileptic Seizure Prediction Model Based on Wavelet Convolutions and Attention Mechanisms. -- FCGR-Enhancer: A Lightweight Multi-Scale CNN Model for Super Enhancer Identification via Chaos Game Representation. -- Predicting Potential Associations Between Microbes and Diseases Using Graph Attention Auto-Encoder and PU Learning. -- Cancer Subtype Recognition Algorithm Based on Hierarchical Attention and Contrastive Learning. -- GEPD: GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's Disease. -- CSDT-Net: Integrating Color Space Normalization and Deformable Transformer for Robust Breast Cancer Diagnosis. -- A Novel Multichannel EEG Analysis Method Using Multiscale Graph Convolution and Cross Attention Transformer for Depression Detection. -- Multi-level Feature Enhancement Method for Lung Parenchyma Segmentation. -- Multilevel Residual Sleep Stage Classification Based on Dual-Stream Spatiotemporal 3D Convolutional Neural Networks. -- RWNet: A Recursive Wavelet-driven Network for Deformable Medical Image Registration. -- A Mutually Reinforcing Semi-Supervised Active Learning Framework for Lung Surgical Section Image Classification. -- FPGS-Net: An Enhanced U-Net-Based Architecture for Retinal Vessel Segmentation Integrating Fusion Pooling and Guided-Attention Skip Modules. -- A New Method for Detecting Cancer Driver Genes by Constructing a Heterogeneous Network with Test-Time Training from Multi-View. -- AMKD: Adaptive Multi-Modality Knowledge Distillation for Pathological Survival Analysis. -- HED-Net: Hybrid Encoder and Decoder Network for Medical image Segmentation. -- YOSAM: A YOLO and MedSAM-Based Framework for Automatic Measurement of Fetal Head Circumference in Ultrasound Images. -- SAPS-ViM: Spatial Aggregation Prefix Synergistic Vision Mamba for Wheat Diseases Classification. -- Multidimensional EEG Signal Analysis and Vision Transformer-Masked Autoencoder-Based Image Processing for Alzheimer's Disease Detection. -- HeartOx: Efficient Multi-task Learning for Contactless Heart Rate and Blood Oxygen Estimation. -- PISynergy: A Triplet Interaction and Causal Interpretation Framework for Drug Synergy Prediction. -- Dense Depth-Supervised Simultaneous Localization and Mapping for Robust Bronchoscopic Navigation.
    Contained By: Springer Nature eBook
    標題: Computational intelligence - Congresses. -
    電子資源: https://doi.org/10.1007/978-981-95-0033-8
    ISBN: 9789819500338
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