{"product_id":"advanced-intelligent-computing-technology-and-applications-9789819500260","title":"Advanced Intelligent Computing Technology and Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Biomedical Data Modeling and Mining.\u003cbr\u003e\u003c\/strong\u003e.- IMVSC: An Improved Multiview Subspace Clustering in Multimodal \u003cbr\u003eMedical Image Application.\u003cbr\u003e.- Pathway Variational Auto Encoder for Survival Prediction.\u003cbr\u003e.- Predicting MiRNA-Disease Associations Using Chebyshev Graph  Convolution and Graph.\u003cbr\u003e.- A Hybrid Architecture for 3D Abdominal Medical Images Based on Mamba.\u003cbr\u003e.- MoRE: Structured Multisignal Encoding for Human Disposition Recognition  from Short Media Clips.\u003cbr\u003e.- FPLRDGraph-DTA: Fusing Prior Features and Long-Range Dependent  Sequence Features for Drug-Target Affinity Prediction.\u003cbr\u003e.- A Dual-Loss-GCN Model for Cuffless Blood Pressure Estimation Using  Photoplethysmography.\u003cbr\u003e.- Graph Attention Network and Dynamic Adjustment Mechanism for Drug  Recommendation. \u003cbr\u003e.- Distilling Closed-Source LLM's Knowledge for Locally Stable and \u003cbr\u003eEconomic Biomedical Entity Linking.\u003cbr\u003e.- Anatomy-aware Mixture of Experts for Medical Vision-Language Pre-training.\u003cbr\u003e.- SC-AGR: Spatially-Constrained Attention for Context-Aware Graph  Representation in Histopathology Whole Slide Image Analysis.\u003cbr\u003e.- MPD-MFF: A Multimodal Parkinson's Disease Detection Method Based on Multi-Feature Fusion.\u003cbr\u003e.- An Efficient Metadata Processing Method Based on Attention Mechanism.\u003cbr\u003e.- MKDTI: Predicting Drug-target Interactions Via Multiple Kernel Fusion on  Graph Attention Network.\u003cbr\u003e.- BiGAMR-Net: Bidirectional Gated Attention and Multi-scale Residual  Network for Polyp Segmentation.\u003cbr\u003e.- HERMES: Heterogeneous Mixture of Experts Based on Segments for  Auditory Attention Decoding.\u003cbr\u003e.- Advanced Predictive Analytics for Hemorrhagic Complications: A Multi Modal Contrastive Learning and Stacking Ensemble Approach.\u003cbr\u003e.- A Prediction Method for Adult Height of Children Based on ACPSO-SVR.\u003cbr\u003e.- Drug–Target Binding Affinity Prediction Based on an Improved Kolmogorov–Arnold Network and Pretrained Models.\u003cbr\u003e.- Landviewer: Characterization of Tissue Landscapes with Multi-view Graph  Learning from Spatially Resolved Transcriptomics.\u003cbr\u003e.- Inter-Relationship Between Pain and Depressive Symptoms in Chinese Middle-Aged and Older People: A Network Analysis.\u003cbr\u003e.- SR-Net: High-Precision Hippocampal Segmentation and Radiomics-Based  Pipeline for Alzheimer's Disease Diagnosis and Prediction.\u003cbr\u003e.- HNGF-NET: Hybrid Neural-Gabor Fusion Network for Brain Glioma  Segmentation.\u003cbr\u003e.- CorGPT: Coronary Angiography Imaging Analysis Using Large Medical  Vision-Language Models.\u003cbr\u003e.- M3Diff: Semantic Mask-Guided 3D Medical Image Synthesis via Mamba-U Net Hybrid for Data Augmentation.\u003cbr\u003e.- KSIR-MIL: Key Region Selection and Instance Refinement for Multi Instance Learning in Whole Slide Image Classification.\u003cbr\u003e.- A Medical Image Segmentation Network for Low-Resource Scenario.\u003cbr\u003e.- OCTAMLLA-UNet: Leveraging Multi-Scale Linear Local Attention for  Accurate OCTA Retinal Image Segmentation.\u003cbr\u003e.- Mitigating High-Scale Dominance in WSI Classification: A Cross-Attention and Hard Instance Mining Framework.\u003cbr\u003e.- Drug-Target Interaction prediction based on lightweight MoE.\u003cbr\u003e.- PLHGMDA: Pre-trained Language model and Heterogeneous Graph neural  network for MiRNA-Disease Association Prediction.\u003cbr\u003e.- DCA-Enhancer: A Dual-Scale Convolutional Attention Network for  Accurate Enhancer Identification and Strength Prediction.\u003cbr\u003e.- Predicting Antibiotic Resistance Genes Using a Hybrid Dataset with NT  Model and BLAST Validation.\u003cbr\u003e.- Masked Bi-LSTM with Unsupervised Encoding for Genomic Breeding Value  Estimation.\u003cbr\u003e\u003cstrong\u003e.- Intelligent Computing in Drug Design.\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e.- \u003c\/strong\u003eGenerating a Trustworthy Hypergraph for Traditional Chinese Medicine  Prescription Evaluation and Screening.\u003cbr\u003e.- DrugGAN-MSM: A Generative Adversarial Approach to Molecular Design Integrating Masked Modeling and Multi-Objective Optimization.\u003cbr\u003e.- CroMamba-DTA: Cross-Mamba for Drug-Target Binding Affinity Prediction.\u003cbr\u003e.- CGLDM: A Conditional Geometric Latent Diffusion Model for 3D  Molecular Generation.\u003cbr\u003e.- MetaGT-HGN: A Heterogeneous Graph Neural Network Based on Meta-Learning and a Graph Transformer for Drug Repurposing.\u003cbr\u003e\u003cstrong\u003e.- Single Cell Spatial Transcriptome.\u003cbr\u003e\u003c\/strong\u003e.- Spatial Transcriptomics Domain Identification Algorithm Based on Multi Scale Contrastive Learning.\u003cbr\u003e.- Low-Rank Multiple Kernel Model based on Local Structures Learning and  Adaptive Similarity Preserving for scRNA-seq Data Clustering.\u003cbr\u003e.- scMGCC: A Self-Supervised Multi-Level Graph Contrastive Learning  Method for scRNA-seq Data Clustering.\u003cbr\u003e.- SMTFusion: Multi-Order Topological Cell Graphs for Single-Cell Multi-Omics Clustering.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212848128343,"sku":"9789819500260","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/advanced-intelligent-computing-technology-and-applications-9789819500260","provider":"Book Curl","version":"1.0","type":"link"}