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Ergebnis der Suche nach: "Machine Learning"



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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1372460691
Art des Inhalts Konferenzschrift
Titel Advanced Intelligent Computing Technology and Applications : 21st International Conference, ICIC 2025, Ningbo, China, July 26–29, 2025, Proceedings, Part XVII / edited by De-Shuang Huang, Bo Li, Haiming Chen, Chuanlei Zhang
Person(en) Huang, De-Shuang (Herausgeber)
Li, Bo (Herausgeber)
Chen, Haiming (Herausgeber)
Zhang, Chuanlei (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2025
Verlag Singapore : Springer Nature Singapore, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2025
Umfang/Format Online-Ressource, XXI, 549 p. 231 illus., 199 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-981-9698-04-2
Printed edition:: ISBN: 978-981-9698-06-6
Inhalt -- 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
Persistent Identifier URN: urn:nbn:de:101:1-2507260406539.132052474664
DOI: 10.1007/978-981-96-9805-9
URL https://doi.org/10.1007/978-981-96-9805-9
ISBN/Einband/Preis 978-981-96-9805-9
Sprache(n) Englisch (eng)
Beziehungen Lecture Notes in Computer Science ; 15858
DDC-Notation 006.3 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

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