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

Autore	Huang De-Shuang
Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (885 pages)
Disciplina	006.3
Altri autori (Persone)	LiBo ChenHaiming ZhangChuanlei
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	9789819698059 9789819698042
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	-- Biometrics Recognition. -- Cross-Resolution Deep Face Recognition via Collaborative Knowledge Distillation. -- A New Perspective on Speaker Verification: Joint Modeling with DFSMN and Transformer. -- CT-Gait: Human Gait Recognition Based on Convolutional Networks with Channel Topology Map. -- Breaking the Calibration Barrier: Lightweight Attention and Multi-Scale Convolutions for Cross-Subject P300 Spellers. -- MAFF-CrossNet: Multi-scale Attentional Feature Fusion and Cross-writer Network for Offline Signature Verification. -- Modal-aware Prompting with Missing Modalities for Biosignal-based Emotion Recognition. -- A Multi-Task Learning Framework for Carotid Plaque Area Measurement in Imbalanced Datasets. -- Alignment losses for End-to-End Speaker Diarization. -- Evolutionary Computation and Learning. -- An Adaptive Transfer Target Strategy and External Guidance for Multitask Evolutionary Optimization. -- A Q-learning-based Hyper-Heuristic Algorithm for the Muti-objective Integrated Scheduling of Distributed Production and Delivery Problem. -- A network-assisted evolutionary multitask framework for multi-objective optimization problems with unknown constraints. -- Elite Annealing Algorithm-Based Adaptive Query Optimization Method. -- An Adaptive Hybrid Genetic Algorithm and Differential Evolution Strategy with Sub-constraint Population Combination Approach for Multiconstraint Multiobjective Optimization. -- CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge Devices. -- Constrained Multi-objective Differential Evolution Framework based on Stage Stratification and Adaptive Epsilon Method. -- Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision System. -- A Multi-Strategy Polar Lights Optimizer for Airborne Emergency Material Transportation Tasks in Complex Plateau Regions. -- Multi-objective Evolutionary Algorithm based on Decomposition with Adaptive Multi-task Knowledge Transfer and Dynamic Adjustment. -- Unbiased Data-Driven Dynamic Threshold Sparsification for Communication Efficient Federated Learning. -- SMMT: Siamese Motion Mamba with Self-attention for Thermal Infrared Target Tracking. -- Signal Processing. -- UNet-PRFN: A Lightweight Network Based on 3D U-Net for Few-Shot Hyperspectral Image Classification. -- BDGTA: A Hybrid Neural Architecture for Enhanced RFID Indoor Positioning Using Bidirectional GRU and Sparse Attention Mechanisms. -- OMDMix: Semi-Supervised Learning for Addressing Noisy Labels. -- FGSGT: Saliency-Guided Siamese Network Tracker Based on Key Fine-Grained Feature Information for Thermal Infrared Target Tracking. -- MASEC: Multi-dimensional Adaptive Signal Essence Capturing Framework for Real-time Signal Analysis in Power System. -- Leverage Automatic Differentiation Routines for Seismic Traveltime Tomography in Tunnels. -- Hierarchical temporal generative adversarial network-based enhancement of cross subject cross-stage epilepsy electroencephalography data. -- ML-MultiLoc: Device-Free Passive Multi-Target Indoor Localization Using Multi Label Learning. -- HIDE: Hyperspectral Imaging Dataset for Camouflaged Target Recognition. -- TS-Net: An Emotion Recognition Network Based on Temporal-Spatial Features of EEG Signals. -- Time-Frequency Feature Enhancement Method for Moving Multiple Sound Source Localization in Noisy Environments. -- LSTM and Hybrid Local-global Transformer Parallel Net: A Novel Method to Recognize the Calls of Newborn Giant Pandas. -- Research on Rolling Bearing Fault Diagnosis Based on TAGCN-Transformer. -- Modularity-Guided Adversarial Matrix Factorization for Community Detection Attacks. -- AFDS-Net: An Attention-Fused Depthwise Separable Network for Acoustic Scene Classification. -- DynFusion-VC: Zero-Shot Voice Conversion via Optimized Fusion of Features . -- Efficient Distributed PHD Filtering via Sampling Clustering . -- Device-free localization based on knowledge distillation method. -- Exploring Anti-ambiguity Signal Processing for Gesture Recognition in NLoS Spaces. -- Multi-scale Adaptive Feature Sparse Network for Speech Enhancement in Insect Noise Environments. -- A speech enhancement method based on Training Lifetime Knowledge Distillation. -- AP-Fall: Environment-Adaptive Fall Detection via Acoustic Sensing. -- Personnel Detection via Reinforcement Learning-based Dynamic Parameter Optimization with Vehicle-mounted Ultra-Wideband. -- Knowledge Tracing Method Based on Multi-Perspective Dynamic Evolution.
Record Nr.	UNINA-9911018656903321

Autore	Huang De-Shuang
Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (880 pages)
Disciplina	006.3
Altri autori (Persone)	LiBo ChenHaiming ZhangChuanlei
Collana	Communications in Computer and Information Science
Soggetto topico	Computational intelligence Computer networks Machine learning Application software Computational Intelligence Computer Communication Networks Machine Learning Computer and Information Systems Applications
ISBN	981-9699-11-8
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	-- Neural Networks. -- EMAFN: Enhanced Multimodal Alignment and Fusion for visual question answering Networks. -- PHierT: a Privacy-Preserving Hierarchical Transformer Model for ICS Network Traffic Classification. -- IDRS: An Input-Dependent Randomized Smoothing Method Certifying the Robustness of Temporal Link Prediction Models. -- MICTE: Mutual information and cross-modal text enhancement for multimodal sentiment analysis. -- Online Delay Learning Algorithm for Recurrent Spiking Neural Networks with Multiple Synaptic Connections. -- Enhancing Semantic-Guided Self-Supervised Monocular Depth Estimation by Exploring Task-Related Representations. -- Neural Networks Remember More: The Power of Parameter Isolation and Combination. -- STLANet: A Spatio-Temporal Linear Attention Network for Multivariate Time Series Classification. -- Adaptive Dynamic Inference Framework Using Multi-Route Neural Networks under Constraints. -- AutoDesign-Net: Genetic Algorithm-Driven Neural Architecture and Feature Selection for Adaptive Time Series Modeling. -- SCN-YOLOv8: A Paradigm for Urban Road Garbage Detection Algorithm Based on YOLOv8. -- U-GANs: Pyramidal Convolutional Attention Fusion Network for Pneumonia Infection Segmentation with Semi-Supervised Learning. -- Multi Hierarchical Time Structures Aware Passenger Preference Evolution for Personalized Flight Recommendation. -- Density Constraint Based Neural Fluid. -- Joint Training of Singular Value Decomposition and Variational Graph Autoencoders for Link Prediction. -- CTMASleep: A Multi-Task Learning Framework for Single-Channel Sleep Staging. -- Enhancing Effective Channels of Data for Multivariate Time Series Classification. -- GA-fPINN: Global-Adaptive Physics-Informed Neural Networks for Predicting the Nonlinear Dynamics of Temporal Fractional Order Differential Equations. -- Reformulating Distributed Hybrid Flow Shop Scheduling under Degradation Effect Using Deep Reinforcement Learning and Spliced Heterogeneous Graph Attention Networks. -- Spectral Bounds and Quantum State Reconstruction in Multi-Dimensional Discrete-Time Quantum Walks. -- BlastocystMask: An Instance Segmentation of Internal Structure in Human Blastocyst Images. -- Delay Learning Algorithm in Spiking Neural Networks for Network Intrusion Detection. -- Using An Improved Lightweight YOLOv11 Model for Fuzzy Image Object Detection. -- A Diffusion-Based Neuron Coverage Feedback Fuzz Testing Method. -- Enhancing Fast Adversarial Training via Adaptive Self-Knowledge Dynamic Guidance. -- Frequency Perturbation and Spatial Attention Modulation for Privacy Preserving Action Recognition. -- Lightweight Neural Networks for Expiration Date Accessibility. -- YOLO-LFS: A Lightweight Method for Pomegranate Growth State Detection. -- Partitioned Memory-Based Method for Long-Tail Document-Level Relation Extraction. -- USEE-YOLO:An Improved Underwater Small Object Detection Algorithm With Edge Enhancement. -- A Lightweight Multi-View Stereo Method for 3D Reconstruction using Wavelet Transform and Depthwise Separable Convolution. -- FairGEO: Lightweight Bias Mitigation in Pruned CNNs via Length and Angle Alignment from Geometric Perspectives. -- Enhancing Federated Learning with Kolmogorov-Arnold Networks: A Comparative Study Across Diverse Aggregation. -- KFC: A Kalman Filtering Correction Method for Diffusion Model Acceleration. -- A Dual-Stream Network Architecture Based on GNN and CNN for Intrusion Detection. -- Generalization-Driven Anomaly Detection: A Two-Stage Framework with Encoder Freezing and Hybrid Learning. -- GAT-Trans: Graph Attention Networks for Analog Hardware Trojan Detection at Transistor Level. -- Clickbait Detection via Large Language Models. -- Stratospheric Wind Field Simulation Using Physics-Constrained Latent Diffusion Model. -- LLMonCAR: A Benchmark for Exploring Large Language Models on Cryptographic Algorithm Recognition. -- Enhancing Subject-Oriented Video Captioning with Predicate-Guided Action Modeling. -- Weaken Non-Primary Information to Enhance Single Face Image Super Resolution. -- Research on abnormal electricity usage detection based on Time GAN-CNN Transformer-Bi LSTM.
Record Nr.	UNINA-9911018752703321