Advanced Intelligent Computing Technology and Applications

This item is printed on demand - Print on Demand Titel. Neuware -.- Cheminformatics.- Topological Analysis of F-Multiplicity Corona Graphs: Zagreb Indices and Applications in Molecular Design.- Graph-based Multi-scale Learning for Predicting Mass Spectra from Molecules.- A Universal Periodicity Injection Module for Crystal Property Prediction.- SM-CBNet: A Speech-Based Parkinson's Disease Diagnosis Model with SMOTEENN and CNN+BiLSTM Integration.- Systems Biology.- SpatialDSSC: Estimating Cell Type Abundance and Expression Profile fromSpatial Transcriptomic Data.- Cuproptosis-related genes are correlated with prognostic and immune infiltration in skin cutaneous melanoma patients.- CS-Phylo: Accelerating Evolutionary Distance Estimation with Closed Syncmer-Enhanced MinHash.- Aligning Histological Images and Spatial Gene Expression Profiles via Dynamic Convolution and Graph Transformers.- SGAEMVN: a hybrid neighborhood-based graph attention autoencoder for identifying spatial domains from spatial transcriptomics.- MMF2Drug: A Multi-Modal Feature Fusion Method for Improving Targeted Drug Design.- DFDGRU-DTI: Drug-Target Interaction Prediction Based on Random Walk Embeddings and Bidirectional GRU Neural Network.- RDT-Net: A Novel Diffusion-Based Network for Intracranial Hemorrhage Segmentation.- Feature Attribution-based Explanation Comparison of Magnetoencephalography Decoding Models.- scAFC: Adaptive Fusion Clustering of Single-cell RNA-seq Data through Autoencoder and Graph Attention Networks.- BIOFUSE-DDI: A Dual-Source Transformer Framework for Drug-Drug Interaction Prediction.- MedMaskDiff: Mamba-based Medical Semantic Image Synthesis for Segmentation.- Image Clarity Combination Method Based on Hybrid Sampling.- PDA-PAGCN: Predicting Disease-Related piRNA Based on Proxy Attention Graph Convolutional Network.- CALM-AcPEP: Predicting Anticancer Peptides using Cross-Attention and Pre-trained Language Model.- ACP-TransLSTM: A Novel Deep Learning Framework for Anticancer Peptide Prediction Using Multi-Source Feature Integration.- Multimodal GAN Integrating Hypergraph and Knowledge Graph Representations for Synthetic Lethality.- EdgeViewDet: Dynamic Edge-Centric Fusion Network with Granger Causality for Neurological Disorders Detection.- MOMTERL: Modeling Molecular Masking and Contrastive Learning Based on Motifs.- Respiratory Sound Classification via Multi-View Feature Fusion with Enhanced Convolutional Neural Network and Audio Spectrogram Transformer.- Multi-Scale Graph Regularized Deep Learning for Accurate Drug-Protein Interaction Prediction.- DiffiT-HSFDA: Diffusion Based Source-Free Domain Adaptation for Histopathology.- Dual-channel MiRNA Drug Resistance Prediction Model Based on Multimodal Feature Alignment.- Whole Slide Images Based Cancer Survival Prediction Using Multi-Task Learning.- Leveraging DermoGrabcut Segmentation for Improved CNN-Based Skin Lesion Classification.- VirB: A Virus Hierarchical Classification Method Based on ModernBERT.- FAPE-DTI: Enhancing DrugTarget Interaction Prediction with Focal Attention and Relative Positional Encoding.- An Adaptive Multi-View Feature Fusion Framework Based on Multiple Graphs for Predicting Drug-drug Interactions.- E-MSNGO: Explainable Multi-species Protein Function Prediction Model based on Aggregated Networks.- PRNet: A Contrastive Ranking Model Based on 3D Convolution and Bi LSTM for ChRs Prediction.- DeepGO-ESM: Improving the Protein Function Prediction of DeepGraphGO via the Evolutionary Scale Modeling Framework.- scGECA: a Graph Embedded Representation Learning Approach with Dynamic Attention Mechanism for Single-cell Clustering.- ChemTransGNN++: From Reactants to Products via MulSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 540 pp. Englisch.…