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Advanced Intelligent Computing in Bioinformatics : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part II / / edited by De-Shuang Huang, Yijie Pan, Qinhu Zhang
| Advanced Intelligent Computing in Bioinformatics : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part II / / edited by De-Shuang Huang, Yijie Pan, Qinhu Zhang |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (505 pages) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Computational intelligence
Artificial intelligence Bioinformatics Computational Intelligence Artificial Intelligence Computational and Systems Biology Bioinformàtica Intel·ligència artificial Intel·ligència computacional |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-9756-92-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Biomedical Data Modeling and Mining -- AAHLDMA: Predicting Drug-Microbe Associations Based on Bridge Graph Learning -- 1 Introduction -- 2 Materials -- 2.1 Drug Similarity Attribute -- 2.2 Drug Network Topological Attribute -- 2.3 Fused Drug Attribute -- 2.4 Microbe Functional Similarity Attribute -- 2.5 Microbe Sequence Attribute -- 2.6 Fused Microbe Attribute -- 3 Methods -- 3.1 Attention-Based Graph Autoencoder -- 3.2 Construction of Bridge Graph -- 3.3 Classification -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Model Performance -- 4.3 Performance Comparison with Other Models -- 4.4 Case Study -- 5 Conclusion -- References -- Adaptive Weight Sampling and Graph Transformer Neural Network Framework for Cell Type Annotation of Scrna-seq Data -- 1 Introduction -- 2 Materials -- 2.1 scRNA-seq Datasets -- 2.2 Gene Interaction Networks -- 3 Methods -- 3.1 Adaptive Sampling -- 3.2 Graph Representation Module -- 4 Experimental Results -- 4.1 Model ACC Performance -- 4.2 Model ACC Performance -- 4.3 Sankey Diagram Representation of the Model on the Data Set -- 5 Conclusion -- References -- BiLETCR: An Efficient PMHC-TCR Combined Forecasting Method -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 BiLETCR Model Structure and Forecasting Process -- 3.2 EMA -- 3.3 Model Training -- 4 Experiments -- 4.1 Data Collection and Processing -- 4.2 Experimental Design -- 4.3 Adding EMA Module Can Improve the Performance of the Model -- 4.4 For the Generalization Test of BiLETCR, the Prediction Effect of BiLETCR is Better Than the Existing Model -- 4.5 BiLETCR is Superior to the Existing Model in Computational Efficiency -- 4.6 BiLETCR is Superior to the Existing Prediction Tools on Ts-Special Test Set -- 5 Conclusion -- References.
CDDTR: Cross-Domain Autoencoders for Predicting Cell Type Specific Drug-Induced Transcriptional Responses -- 1 Introduction -- 2 Materials and Methods -- 2.1 Within-Domain Reconstruction Paths -- 2.2 Cross-Domain Reconstruction Paths -- 2.3 Training and Prediction Procedures -- 2.4 Comparison with Alternative Methods -- 3 Results -- 3.1 Comparison Results with the State-of-the-Art Methods -- 3.2 The Performance of CDDTR on Small Sample Data -- 3.3 Biological Interpretability of CDDTR Model -- 3.4 Further Improvement of Prediction Performance of CDDTR -- 3.5 Case Study -- 4 Conclusion and Discussion -- References -- ChiMamba: Predicting Chromatin Interactions Based on Mamba -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets and Processing -- 2.2 Selective State Space Models -- 2.3 ChiMamba Model -- 3 Experiment -- 3.1 Datasets and Experiment Setup -- 3.2 Comparative Studies -- 3.3 Ablation Studies -- 3.4 Training Time -- 4 Discussion -- References -- Cluster Analysis of Scrna-Seq Data Combining Bioinformatics with Graph Attention Autoencoders and Ensemble Clustering -- 1 Introduction -- 2 Materials -- 2.1 Dataset -- 2.2 Processing Gene Expression Matrix -- 2.3 Denoising Using Network Enhancement -- 2.4 Performing Principal Component Analysis -- 3 Methods -- 3.1 Graph Attention Autoencoder -- 3.2 Bipartite Graph Ensemble Clustering Method -- 4 Experimental Results -- 4.1 Model Performance -- 4.2 Comparison of Different Model -- 4.3 Comparison of Different Datasets -- 5 Conclusion -- References -- Compound-Protein Interaction Prediction with Sparse Perturbation-Aware Attention -- 1 Introduction -- 2 Methodology -- 2.1 Prediction Backbone -- 2.2 Perturbation-Aware Attention -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Implementation Details -- 3.3 Comparative Performance -- 3.4 Impacts of Modules and Parameters -- 3.5 Case Study. 4 Related Work -- 5 Conclusion -- References -- CUK-Band: A CUDA-Based Multiple Genomic Sequence Alignment on GPU -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 The Strategy of Affine Gap Penalty and K-band -- 3.2 Improved Central Star Strategy Based on Bitmap -- 3.3 The K-band Strategy Based on CUDA -- 4 Performance Evaluation -- 4.1 Datasets and Evaluation Criterion -- 4.2 Configuration -- 4.3 Results -- 5 Conclusion -- References -- DeepMHAttGRU-DTI: Prediction of Drug-Target Interactions Based on Knowledge Graph Random Walk Embeddings and GRU Neural Network -- 1 Introduction -- 2 Materials and Methods -- 2.1 Graph Embedding Algorithm Based on Three Improved Random Walk Algorithms -- 2.2 GRU Binary Classification Neural Network Model -- 2.3 Multi-head Attention -- 3 Experimental Results -- 3.1 Evaluation Criteria -- 3.2 General Dataset -- 3.3 Comparison of Different Random Walk Algorithms Using GRU Model -- 3.4 Comparison Between the GRU Model and the MHAttGRU Model -- 3.5 Comparison with Other Existing Models -- 4 Conclusion -- References -- DiagNCF: Diagnosis Neural Collaborative Filtering for Accurate Medical Recommendation -- 1 Introduction -- 2 Preliminaries -- 2.1 Setup and Notation -- 2.2 Data-Preprocessing -- 3 Diagnose Neural Collaborative Filtering (DiagNCF) -- 3.1 General Framework -- 3.2 Generalized Matrix Factorization (GMF) -- 3.3 Multi-Layer Perception (MLP) -- 3.4 DiagNCF -- 4 Experiments -- 4.1 Performance Evaluation -- 4.2 Training Procedure -- 5 Conclusions -- References -- Drug Molecule Generation Method Based on Fusion of Protein Sequence Features -- 1 Introduction -- 2 Methods -- 2.1 Datasets -- 2.2 Targeted Drug Generation Process -- 3 Experimental Results -- 3.1 Evaluation of Model Performance -- 3.2 Molecular Docking Results -- 4 Conclusion -- References. Drug Target Affinity Prediction Based on Graph Structural Enhancement and Multi-scale Topological Feature Fusion -- 1 Introduction -- 2 Methods -- 2.1 Model Architecture -- 2.2 Drug Feature Extraction Module -- 2.3 Protein Feature Extraction Module -- 2.4 Multi-scale Topological Feature Fusion Module -- 3 Results and Discussion -- 3.1 Datasets -- 3.2 Evaluation Metrics -- 3.3 Parameters Setting -- 3.4 Performance Comparison with Baseline Model -- 4 Ablation Experiment -- 5 Conclusion -- References -- Drug-Target Interaction Prediction Based on Multi-path Graph Convolution and Graph-Level Attention Mechanism -- 1 Introduction -- 2 Methods -- 2.1 Method Overview -- 2.2 Feature Extraction -- 2.3 Multi-feature Graph Convolution Module -- 2.4 Loss Function -- 3 Results -- 3.1 Dataset -- 3.2 Experiment Settings -- 3.3 Comparisons with Other Baseline Methods -- 3.4 Ablation Experiments -- 3.5 Model Generalization Test -- 4 Conclusion -- References -- Fully Convolutional Neural Network for Predicting Cancer-Specific CircRNA-MiRNA Interaction Sites -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Modelling -- 3 Results -- 4 Discussion and Conclusion -- References -- GSDPI: An Integrated Feature Extraction Framework for Predicting Novel Drug-Protein Interaction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Low-Dimensional Feature Vectors and Feature Similarity Matrices -- 2.3 Determining the Dimensionality of Feature Matrix -- 2.4 Calculation of the Feature Similarity Matrices -- 2.5 DPI Prediction Model Based on GSDPI -- 3 Experimental Evaluation -- 3.1 Evaluation Metrics -- 3.2 Method Comparison and Parameter Settings -- 3.3 Experimental Comparison -- 3.4 Ablation Experiments -- 3.5 Integrate the Gene Ontology (GO) Annotation for All Drug Target-Coding Genes -- 3.6 Case Study -- 4 Conclusion -- References. Heterogeneous Genome Compression on Mobile Devices -- 1 Introduction -- 2 Related Works -- 2.1 Genome Data Compression -- 2.2 Hardware Accelerated Bioinformatics -- 3 Background -- 3.1 Heterogeneity of MPSoC -- 3.2 Dynamic Voltage-Frequency Scaling -- 4 Methods -- 4.1 Distribute Tasks Transparently -- 4.2 Pipeline Organization -- 5 Results and Discussions -- 5.1 Test Data -- 5.2 Performance and Energy Efficiency Improvements of Heterogeneous Gzip -- 5.3 Exploration for the Reason of Extra Energy Consumption and Discussion -- 6 Conclusion -- References -- HyperCPI: A Novel Method Based on Hypergraph for Compound Protein Interaction Prediction with Good Generalization Ability -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Hypergraphs -- 2.3 Model Architecture of HyperCPI -- 3 Results and Discussion -- 3.1 Performance on OOD Experiments -- 3.2 Ablation Study -- 4 Conclusion -- References -- iEMNN: An Iterative Integration Method for Single-Cell Transcriptomic Data Based on Network Similarity Enhancement and Mutual Nearest Neighbors -- 1 Introduction -- 2 Materials and Methods -- 2.1 Overview of iEMNN -- 2.2 Network Similarity Enhancement -- 2.3 Methods for Comparison -- 2.4 Performance Metrics -- 3 Results -- 3.1 iEMNN Enhances the Similarity of Similar Cells While Separating Distinct Cells -- 3.2 Scenario 1: iEMNN in the Scenario of Identical Cell Types -- 3.3 Scenario 2: iEMNN in the Scenario of Non-identical Cell Types -- 3.4 Scenario 3: iEMNN in the Scenario of Multiple Batches -- 3.5 Scenario 4: iEMNN in the Scenario of Cross-Species -- 4 Discussion -- References -- IGDACA: Imaging Genomics of Deep Autoencoder Cascade Attention Fusion Networks for Cervical Cancer Prognosis Prediction -- 1 Introduction -- 2 Method -- 2.1 Model Design -- 2.2 Image Feature Extraction -- 2.3 Gene Feature Extraction -- 2.4 Attention Fusion Module. 3 Experiments and Analyses. |
| Record Nr. | UNINA-9910878052503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part X / / edited by De-Shuang Huang, Wei Chen, Yijie Pan, Haiming Chen
| Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part X / / edited by De-Shuang Huang, Wei Chen, Yijie Pan, Haiming Chen |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (895 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ChenWei
PanYijie ChenHaiming |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 981-9698-49-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Machine Learning. -- A Bayesian Inference-Enhanced Evolutionary Algorithm for Sleep Scheduling of Software-Defined Radio Sensors. -- A Deep Clustering Method for Single-cell Data Based on Low Rank Representation. -- GNNHacker: Adaptive Subgraph Backdoor Attacking Method with Saliency Analysis and Joint Optimization. -- Knowledge-Constrained Intelligent Learning for Agricultural Yield Prediction in Complex Cropping Systems. -- Formal Theorem Generation via MCTS with LLM-Guided Process Optimization. -- ENGCL: Graph Contrastive Learning via Ego-Preservation and Neighborhood Learning. -- Retrieval and Ranking Model of Scientific Literature Based on MiniLM Formula and AHP. -- MSAF-YOLOv11: Multi-Scale Self-Adaptive Fusion Module for Efficient and Robust Detection in Underground Coal Mining. -- A Federated Active Learning Based on Prototype-Based Hierarchical Clustering. -- FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning. -- RG3: Mitigating Memorization of Graph Diffusion Model in One Denoising Step. -- True-to-Life Behavior Relationship Modeling for Multi-behavior Recommendation. -- Multi-Task Learning Based on Dense Feature Pyramid Network and Multi Scale Attention for Class-Imbalanced Hyperspectral Image Class. -- Multi-range Random Walk based Graph Neural Network. -- TinyVision: Distributed Vision-Language Model with Efficiency and Privacy for Edge Deployment. -- A Novel Multi-stage Ensemble Method for Noisy Labels Using Sample Selection and Label Correction. -- Smart Contract Vulnerability Detection with Feature-Enhancement and Self Supervised Training. -- FedSatch: A Dynamic Framework for Enhancing Original Sample Utilisation in Federated Semi-Supervised Learning. -- ARMQwen2: Enhancing C Language Decompilation on ARM Platform Using Large Language Model. -- Gaze-Driven Active Speaker Detection in Meetings. -- A Lyapunov-Based Convex Optimal Control Approach via Input Convex Transformer. -- Unpaired Image Style Translations Using Mamba Adversarial Networks. -- Personalized Incentive Mechanism in Federated Learning via Variational Expectation Maximization. -- Multi-Level Dynamic Gated Interaction Fusion Network for Remote Sensing Visual Question Answering. -- CPTCP: Incorporating Convolutional Neural Network into Text-Vector Based Test Case Prioritization for Compilers. -- GEETI: Graph Embedding-Enhanced Textual Inversion for Chinese Harmful Meme Detection and Identification. -- Abstractive Model for Enhanced Text Summarization through Contrastive Learning to Boost T5 Representations. -- MLPF-Net: Multi-Level Progressive Fusion and Cross-Domain Attention Network for Multi-Modality Image Fusion. -- Contrastive Learning for Robust Time Series Anomaly Detection in Cyber Physical Systems. -- A Trapezoidal Fuzzy Broad Learning System Based on Distance Correlation. -- Accurate Classification for Government Data: A Tree-of-Thoughts-Driven Few-Shot Learning Approach. -- An Efficient Attention-Enhanced Diffusion Model for Surface Defect Detection. -- FedBKT: Federated Learning with Model Heterogeneity via Bidirectional Knowledge Transfer with Mediator Model. -- Partitioned Dual Weighting Strategy for Combining Regression Estimates. -- Memory-Enhanced Cognitive Planning: A Framework for Improving Long Term Planning in LLM. -- A Defense Against Label Flipping Attacks in Federated Learning Using Output Layer Gradients. -- Causal Pathway-Integrated Generative Adversarial Networks for Counterfactually Fair Data Generation. -- Mitigating Heterogeneous Instance-Dependent Label Noise in Federated Learning. -- FPGA-Based Processing-in-Memory with Optimized Multi-BRAM Reduction for Improved Latency-Cost Trade-off. -- DRFormer: Dynamic Replay-Driven Transformer for Domain-Incremental Learning in Brain Tumor Segmentation. -- A Novel Transformer Architecture for Runoff Forecasting. -- FedAF: Federated Learning Framework Based on Attention Mechanisms and Fisher Information Matrix. -- Application of Electronic Tongue Combined with DDPM-CNN-Transformer Hybrid Model for Longjing Tea Origin Detection. |
| Record Nr. | UNINA-9911016067603321 |
Huang De-Shuang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part VII / / edited by De-Shuang Huang, Yijie Pan, Wei Chen, Bo Li
| Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part VII / / edited by De-Shuang Huang, Yijie Pan, Wei Chen, Bo Li |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (903 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PanYijie
ChenWei LiBo |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 981-9698-75-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 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. |
| Record Nr. | UNINA-9911016070603321 |
|
Huang De-Shuang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XV / / edited by De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan
| Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XV / / edited by De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (832 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ZhangChuanlei
ZhangQinhu PanYijie |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 981-9699-14-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Intelligent Computing in Communication Networks -- UAV cluster dynamic deployment in edge data acquisition system. -- Multi-cluster Layer-sharing Container Scheduling in Cloud-Edge Collaboration. -- FairMS: Fair DNN Model Selection Algorithm for Collaborative Edge Intelligence. -- Delay-Energy Tradeoff for Intelligent Online Partial Offloading in Mobile Edge Computing. -- A Consortium Blockchain Framework for Low-Storage Coal Mine Dispatch Speech System. -- Federated Dynamic Aggregation Learning Based on Parameter Decomposition to Combat Noisy Data. -- QoE Oriented Efficient MEC-Assisted Rendering Scheme for Virtual Reality. -- IAE-LoRa: Interference-Aware and Energy-Efficient LoRa Optimization using Reinforcement Learning. -- SecureNT: Smart Topology Obfuscation for Privacy-Aware Network Monitoring. -- Data Annotation Crowdsourcing Matching Optimization Method in Blockchain Environment: Based on Deep Reinforcement Learning. -- Joint Resource Allocation for Downlink NOMA-Assisted CR-SWIPT System. -- A Cross-Layer and Multi-Center Authentication Fusion Framework for Mobile Industrial Internet of Things. -- MENTOR: Malicious Network Traffic Detection Through Optimized LLM based Recognition. -- EDGaE: Efficient Distributed Graph Neural Network Training System at the Edge. -- Dynamic Service Migration and Resource Allocation for UAV-Assisted Vehicular Edge Computing. -- Intelligent Routing Decision Making Based on GGKM: Combining GCN and Deep Reinforcement Learning. -- INT-LLM: Adaptive Path Planner for In-band Network Telemetry via Large Language Models. -- PIKA: A Rate Control Mechanism for Real-Time Video Streaming Assisted by 5G Link Quality. -- SatDetector: Critical Nodes Detection for LEO Satellite Networks Based on Evolutionary Algorithm. -- Tongs: A Multi-Objective Scheduling Framework for Network Flow. -- Bimodal Data-Driven Optimization of Human Action Recognition: Combining CSI and Video Intelligence Analysis. -- Automated Cloud-Native Dynamic Network Policy Generation Based on Microservices Topology. -- Intelligent Computing in Finance Banking -- Deep Reinforcement Learning-based Portfolio Optimization with Black Litterman Model under Elliptical Distributions. -- FAEF: Frequency-Adaptive Economics Forecasting That Works. -- Semantic Information Tells the Truth: A Novel Approach to Numerical Veracity for Large Language Models in Financial Market Analytics. -- Asset-Centric Factor-Opinion Pair Extraction from Market Analysis Reports. -- Large Language Model-guided DeepFutures for Accurate Domestic Futures Trading. -- LightFSA: A Lightweight Financial Sentiment Analysis Model. -- Hidden Market Patterns: A Spatio-temporal Graph Auto-Encoder for Stock Price Forecasting and Portfolio Optimization Strategy. -- Deep Multi-View Factor Entropy Pooling: A Novel Framework for Adaptive Portfolio Optimization. -- Overnight Stock Movement Prediction Based on Dynamic Graph Neural Networks. -- Fraud Detection Based on Dynamic Graph Neural Networks. -- Virtual Reality and Human-Computer Interaction -- Spatial-Aware Anchor Growth for 3D Gaussian Field Reconstruction. -- EMFIN: A Multimodal Fusion Algorithm and Intelligent Navigation System for Intelligent Chemistry Experiments. -- AMC-Net: Adaptive Multi-Channel Sampling and Deep Reconstruction for Block-Based Image Compressive Sensing. -- ULTRA-Net: An Efficient and Interpretable Deep Network for Low-Dose CT Images Denoising. -- GESTURE-MINE: A Gesture Interaction-based VR enhancement for Mine Safety Inspection Training. -- Attention-Modulated Transformer for In-Air Handwriting Recognition. -- ARR-Net: An Adaptive Redundancy Reduction Network for Compressed Sensing. -- HD-Tex: Leveraging Structural Priors for High-Fidelity Texture Synthesis. -- AR-VitalSense: Enabling Real-Time Vital Sign Monitoring in Dynamic Environments. -- JoyLive: Efficient audio-driven portrait animation by 3D implict keypoints. -- MLAD: A Two-Stage Fully Automated Multi-Perspective Tabular Data Anomaly Detection Framework. |
| Record Nr. | UNINA-9911016071703321 |
|
Huang De-Shuang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part I / / edited by De-Shuang Huang, Yijie Pan, Wei Chen, Bo Li
| Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part I / / edited by De-Shuang Huang, Yijie Pan, Wei Chen, Bo Li |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (888 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PanYijie
ChenWei LiBo |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 981-9698-63-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Image Processing . -- Graph Sampling Transformer for HSI Classification. -- Selective Targeting for Enhanced Salient Object Detection. -- ALD-Net: Adaptive Local Diffusion Network for Ethnic Pattern Synthesis. -- ISTD-YOLO: A Multi-Scale Lightweight High-Performance Infrared Small Target Detection Algorithm. -- DBTNet: Dual-Stream Background-Target Decoupling Network for Infrared Small Target Detection. -- STARS: Sparse Learning Correlation Filter with Spatio-temporal Regularization and Super-resolution Reconstruction for Thermal Infrared Target Tracking. -- Semantic-Guided Multi-Attention Model for Infrared and Visible Image Fusion: A Deep Learning Approach. -- Feature-guided Prototype-enhanced Few-shot Semantic Segmentation Model. -- Image Aesthetic Quality Assessment Method Based on Multi-Scale Fusion Spiking Neural Network Vision Transformer. -- Feature-Augmented Segment Anything Model for Salient Object Detection in Optical Remote Sensing Images. -- DDECNet: Dual-Branch Difference Enhanced Network with Novel Efficient Cross-Attention for Remote Sensing Change Detection. -- Remote Sensing Image Change Detection Based on Wavelet Feature Interaction and Multi-Scale Feature Aggregation. -- Depixelation and Enhancement Algorithm of Fiber Bundle Images Based on Diffusion Model. -- MambaSTR: Scene Text Recognition with Masked State Space Model. -- MambaFER: A Mamba-Based Dual-Perception Network for Facial Expression Recognition in the Wild. -- A Steel Surface Defect Detection Method Based on a Lightweight Semantic Segmentation Model. -- YOLO-CBD: A Classroom Behavior Detection Method. -- Optimizing Small Object Detection in Drone Imagery: A Lightweight Weighted Multi-Branch Supportive Fusion. -- Test-Time Adaptation via Distribution-Aware Guidance for Vision-Language Models. -- GDAFormer: Transformer-Driven Fundus Image Enhancement with Gated Dual-Attention. -- Change Detection for Wide-Field Video Images in Foggy Weather Based on Enhanced K-Means Clustering. -- PML-SLAM: Optimizing and Enhancing Visual SLAM with Point-to-Line Matching. -- RGPest-YOLO: A YOLOv8 Pest Detection Method Based on Image Preprocessing. -- IRAWildNet: A Multi-Species Infrared Wildlife Target Detection Method from the UAV Perspective. -- FTDB-Net: A Fourier Transform-Based Dual-Branch Low-Light Image Enhancement Network. -- Curriculum-Learned Masked Pretraining Models for Remote Sensing Building Detection. -- End-to-End Landmark Guided Head Pose Estimation. -- JPEG Image Encryption with Cross-Channel Permutation and Tunable Range Substitution. -- ERUAVNet: An Efficient Reparameterized Network for Unmanned Aerial Vehicle Detection. -- Modality Perception Network for Multi-Modal Rumor Detection. -- Dual-Branch Diffusion Model for JPEG Artifact Correction. -- Enhancing H&E-to-IHC Virtual Staining via Multi-Channel Correlation Learning. -- HASNet: A Hybrid CNN-Transformer Network with Adaptive Sparse Cross Attention for Low-Light Image Enhancement. -- Multi-View 3D Object Detection by Using a Preluded 2D Detector. -- A L0 Framework with Anisotropic Sparsity and Fairness for 3D Denoising. -- Real-Time Semantic Segmentation for UAV Perspectives on Embedded Platforms. -- FDRFCD: Feature Disentangling Representation and Fusion Deep Network for Remote Sensing Image Change Detection. -- WSFFormer: LightWeight Wavelet Spatial-Frequency Vision Transformer for Visual Representation Learning. -- Pose-Enhanced 3D Rotary Embedding for Multi-View 3D Object Detection. -- Exploratory Study on Enhancing Generalization Performance of Transformer Architectures in MedicalImage Segmentation: A Survey. -- Planar KNN for Multi-Camera Interference Mitigation of Point Cloud. -- Frequency-Enhanced Part Feature Mining and Cross-Modality Alignment for Visible-Infrared Person Re-Identification. -- SRL-UNet: An Improved Residual U-Net with 2D-Selective-Scan for Nuclear Segmentation. |
| Record Nr. | UNINA-9911018648503321 |
|
Huang De-Shuang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XIII / / edited by De-Shuang Huang, Yijie Pan, Wei Chen, Bo Li
| Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XIII / / edited by De-Shuang Huang, Yijie Pan, Wei Chen, Bo Li |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (857 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PanYijie
ChenWei LiBo |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 981-9699-01-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911018747703321 |
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Huang De-Shuang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part IX / / edited by De-Shuang Huang, Yijie Pan, Wei Chen, Bo Li
| Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part IX / / edited by De-Shuang Huang, Yijie Pan, Wei Chen, Bo Li |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (922 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PanYijie
ChenWei LiBo |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computers Computer networks Data mining Image processing - Digital techniques Computer vision Software engineering Artificial Intelligence Computing Milieux Computer Communication Networks Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering |
| ISBN | 981-9699-86-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911018750003321 |
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Huang De-Shuang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part IV / / edited by De-Shuang Huang, Wei Chen, Yijie Pan, Haiming Chen
| Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part IV / / edited by De-Shuang Huang, Wei Chen, Yijie Pan, Haiming Chen |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (895 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ChenWei
PanYijie ChenHaiming |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 981-9698-72-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Information Security -- DDos Attack Identification Based on Temporal Features. -- An Intonation-Based Black-Box Generative Adversarial Attack Method for Audio. -- RanHunter: Advancing Ransomware Detection with Channel Attention and Multi-Head Attention. -- Cellular-Snooper: A General and Real-Time Mobile Application Fingerprinting Attack in LTE Networks. -- True or False? Dually Perceiving Relevance of Source Post and Comment Flow for Rumor Detection. -- Explanation-Inspired Transferable Adversarial Attacks with Layer-Wise Increment Decomposition. -- CNN-DST-IDS: CNN and D-S Evidence Theory Based Intrusion Detection System. -- PPAGAN: A Privacy-Preserving Self-Attention GAN Framework for Image Synthesis. -- ADPF: Adversarial Sample Detection Based on Prediction Feature. -- MvSMIA: Multi-View Source Membership Inference Attack in Federated Learning. -- RDP-FedAB: A Federated Learning Framework Balancing Privacy Protection and Model Performance. -- Transferable Adversarial Attacks via Diffusion-Based Keyword Embedding and Latent Optimization. -- Optimization of IoUT Systems: A Hierarchical Federated Transfer Learning Approach Based on UAV Computation Offloading. -- Malicious Encrypted Traffic Detection with Transformer and Dual-Layer Meta-Update Incremental Learning. -- ElevPatch: An Adversarial Patch Attack Scheme Based on YOLO11 Object Detector. -- MetaSSL-ETD: Robust Detection of Malicious Encrypted Traffic Based on Semi-Supervised Meta-Learning. -- A Steganalysis Framework for Enhancing Model Generalization Performance. -- Frequency-Aware Purification: A Black-box Defense against Backdoor Attacks. -- Stealthy Backdoors in Vertical Federated Learning. -- CTI-Shapley: An ATT&CK-Guided Enhanced Shapley Value Mechanism for Benefit Distribution in Cyber Threat Intelligence Sharing. -- Distributed Cumulative Gradient Backdoor Attack Against Federated Learning. -- MSIAA: Multi-Scale Inversion Adversarial Attack on Face Recognition. -- Leveraging Fine-Tuned Large Language Models for Device Fingerprint Extraction in IoT Security. -- MICD: Deepfake Detection with Masked Identity Consistency Detector. -- PGAE: A Perturbed Graph Autoencoder Integrating Explicit and Implicit Features for APT Detection. -- Durability-Optimized Model Poisoning Attack against Federated Learning Systems. -- Explainable Machine Learning Models for Phishing Website Detection: Enhancing Transparency and Accuracy in Cybersecurity. -- FRIFL: A Fair and Robust Incentive Mechanism for Heterogeneous Federated Learning. -- Reversible Data Hiding for 3D Mesh Models in Encrypted Domain Based on Adaptive MSB and Difference Prediction. -- FedFIP: A Personalized Federated Learning Optimization Method with Differential Privacy Protection. -- ProAnalyzer: Inferring Network Service's Fuzzing Format with Grey-box Metric. -- Research on Differential Privacy in Personalized Heterogeneous Federated Learning Based on Fisher Information Matrix. -- APFedEmb: An Adaptive and Personalized Federated Knowledge Graph Embedding Framework for Link Prediction. -- Federated Knowledge Collaborative Recommendation System with Privacy Preserving. -- Towards Reliable Detection of Malicious DNS-over-HTTPS (DoH) Tunneling Traffic under Low-quality Training Data. -- Ensemble Partitioning: A Defense Mechanism Against Membership Inference Attacks in ML Models. -- A Trusted Computing Power Network Scheduling Algorithm Based on Federated Learning. -- Secure Outsourced Matrix Multiplication of Floating Point Numbers. -- Research on Synthetic Trajectory Data Publication Resisting Location Inference Attacks Based on Differential Privacy. -- Alias6: An IPv6 Alias Resolution Technology Based on Multiple Fingerprint Features. -- Update Recovery Attacks on Two-Dimensional Encrypted Databases: Exploiting Volume Pattern Leakage in Range Queries. -- VulPelican: an LLM and Interactive Static Analysis Tool Based Vulnerability Detection Framework. -- Energy-aware Task Scheduling Using DVFS and On/Off Switching in Data Center. |
| Record Nr. | UNINA-9911018760503321 |
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Huang De-Shuang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part IX / / edited by De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan
| Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part IX / / edited by De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (907 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ZhangChuanlei
ZhangQinhu PanYijie |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN |
9789819698844
9789819698837 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911018655503321 |
|
Huang De-Shuang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part III / / edited by De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan
| Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part III / / edited by De-Shuang Huang, Chuanlei Zhang, Qinhu Zhang, Yijie Pan |
| Autore | Huang De-Shuang |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (866 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ZhangChuanlei
ZhangQinhu PanYijie |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computational intelligence
Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications |
| ISBN | 981-9698-69-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Image Processing -- Spatial-Spectral Topological Graphmamba for Hyperspectral Image Classification. -- Efficient 3D Brain Tumor Automatic Division Based on Attention Mechanism. -- Lightweight Remote Sensing Image Change Detection Based on Global Feature Fusion. -- DUMD-EIT: A Three-Stage Deconvolution-UNet-Masked Diffusion Model for Electrical Impedance Tomography Image Reconstruction. -- Image Deraining Network Based on Multi-Level Mixed Attention. -- Deep Hashing based on Feature Fusion Enhancing Hierarchical Transformer with Distance Separated Centers Guided Polarization Loss. -- GTF: Generator for Pairwise Thermal Face Image Synthesis. -- SDMD-RTDETR: An Improved Real-Time Transformer Detection Model for Detecting Violations in Power Operators' Dress. -- Improving Heterogeneous Cryo-EM Reconstruction Using Transformer Architecture. -- TPANet: Scene Text Detection Based on Texture Refinement and Patch Driven Attention with Cross-Level Feature Integration. -- GL-Unet: Global-Local Attention Based Image Segmentation Algorithm for Transmission Line Defects. -- EMCrossNet: Edge-guided Bidirectional Mamba Fusion Network for Crack Segmentation. -- Forgery-aware Adaptive CLIP for Generalizable Face Forgery Detection. -- Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images. -- Multimodal-guided Perceptual Image Compression via Joint Text and Audio. -- A Image Restoration Network for Nighttime Variegated Haze Conditions. -- The Loop Game: Quality Assessment and Optimization for Low-Light Image Enhancement. -- Lightweight Image Super Resolution via Multi-branch Feature Aggregation Network. -- Deep Unfolding for Task-Decomposed Image Restoration Under Diverse Degradations. -- Cross-Modality Differential Feature Interaction for Multispectral Pedestrian Detection. -- BiSyncFusion: Dual-Stream Bidirectional Synchronization for BEV Multimodal Fusion. -- ESCA-Net: Attention-enhanced CNN and Transformer fusion coding network for lung airway tree segmentation. -- Emphasizing Object-Background Difference Network for Camouflaged Object Detection. -- MSD-SEG: Multi-scale Deformable Convolution Network for Segmentation of Remote Sensing Images. -- MCGFusion: Multi-Scale Cross Gated Fusion Framework for Multi-Focus Image Fusion. -- A Deepfake Detection Model based on Optical Flow Estimation. -- cross-modal Prior Generation and Structured Information Fusion for Fewshot Semantic Segmentation. -- IEDNet: Learning A Two-stage Enhancement-Denoising Network for Low Light Image Enhancement. -- Optimal Transport-Based Prompt Alignment for Unsupervised Domain Adaptation. -- CSN-YOLOv5s: A Novel Detection Algorithm for PCB Surface Defects. -- Dynamic Convolution and Dimensional Joint Attention Based Denoising of Oracle Topography Images. -- Dynamic Partition Cascade Matching Multi-Target Trajectory Association. -- Learning Latent Representations with Codebook Priors for Single-Image Flare Removal. -- Chinese Text Detection in Natural Scenes based on Feature Pyramid with Attention Mechanism. -- K-CMorph: Integrating K-space Consistency and Complex-valued Processing for Improved MRI Deformable Registration. -- SA-SAM: Stronger Adaptation for SAM in Camouflaged Object Detection. -- GASNet: Geometric Robust Adaptive Spatial-Enhanced Network for Building Extraction. -- FSCIE: Fast Covert Image Exfiltration via Screen Recording. -- PanFormer: Dual-Head Soft Attention Meets Multi-Scale Residual Learning. -- K2Mural: Text-Guided Pre-trained Model for Mural Image Inpainting. -- FCFormer: Fourier Convolution Vision Transformer for Image Classification. -- YOLOv8-CSPD: Integrating Collaborative Attention and Lossless Downsampling for Real-Time Industrial Aluminum Can Detection. .-Natural Language Processing and Computational Linguistics -- Accelerating LLM Inference on RISC-V Edge Devices via Vector Extension Optimization. |
| Record Nr. | UNINA-9911018751703321 |
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Huang De-Shuang
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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