{"product_id":"advanced-intelligent-computing-technology-and-applications-9789819698042","title":"Advanced Intelligent Computing Technology and Applications","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Biometrics Recognition.\u003c\/strong\u003e\u003cbr\u003e.- Cross-Resolution Deep Face Recognition via Collaborative Knowledge Distillation.\u003cbr\u003e.- A New Perspective on Speaker Verification: Joint Modeling with DFSMN and Transformer.\u003cbr\u003e.- CT-Gait: Human Gait Recognition Based on Convolutional Networks with Channel Topology Map.\u003cbr\u003e.- Breaking the Calibration Barrier: Lightweight Attention and Multi-Scale Convolutions for Cross-Subject P300 Spellers.\u003cbr\u003e.- MAFF-CrossNet: Multi-scale Attentional Feature Fusion and Cross-writer Network for Offline Signature Verification.\u003cbr\u003e.- Modal-aware Prompting with Missing Modalities for Biosignal-based Emotion Recognition.\u003cbr\u003e.- A Multi-Task Learning Framework for Carotid Plaque Area Measurement in Imbalanced Datasets.\u003cbr\u003e.- Alignment losses for End-to-End Speaker Diarization.\u003cbr\u003e\u003cstrong\u003e.- Evolutionary Computation and Learning.\u003c\/strong\u003e\u003cbr\u003e.- An Adaptive Transfer Target Strategy and External Guidance for Multitask Evolutionary Optimization.\u003cbr\u003e.- A Q-learning-based Hyper-Heuristic Algorithm for the Muti-objective Integrated Scheduling of Distributed Production and Delivery Problem.\u003cbr\u003e.- A network-assisted evolutionary multitask framework for multi-objective optimization problems with unknown constraints.\u003cbr\u003e.- Elite Annealing Algorithm-Based Adaptive Query Optimization Method.\u003cbr\u003e.- An Adaptive Hybrid Genetic Algorithm and Differential Evolution Strategy with Sub-constraint Population Combination Approach for Multiconstraint Multiobjective Optimization.\u003cbr\u003e.- CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge Devices.\u003cbr\u003e.- Constrained Multi-objective Differential Evolution Framework based on Stage Stratification and Adaptive Epsilon Method.\u003cbr\u003e.- Probability Estimation and Scheduling Optimization for Battery Swap Stations via LRU-Enhanced Genetic Algorithm and Dual-Factor Decision System.\u003cbr\u003e.- A Multi-Strategy Polar Lights Optimizer for Airborne Emergency Material Transportation Tasks in Complex Plateau Regions.\u003cbr\u003e.- Multi-objective Evolutionary Algorithm based on Decomposition with Adaptive Multi-task Knowledge Transfer and Dynamic Adjustment.\u003cbr\u003e.- Unbiased Data-Driven Dynamic Threshold Sparsification for Communication Efficient Federated Learning.\u003cbr\u003e.- SMMT: Siamese Motion Mamba with Self-attention for Thermal Infrared Target Tracking.\u003cbr\u003e\u003cstrong\u003e.- Signal Processing.\u003cbr\u003e\u003c\/strong\u003e.- UNet-PRFN: A Lightweight Network Based on 3D U-Net for Few-Shot Hyperspectral Image Classification.\u003cbr\u003e.- BDGTA: A Hybrid Neural Architecture for Enhanced RFID Indoor Positioning Using Bidirectional GRU and Sparse Attention Mechanisms.\u003cbr\u003e.- OMDMix: Semi-Supervised Learning for Addressing Noisy Labels.\u003cbr\u003e.- FGSGT: Saliency-Guided Siamese Network Tracker Based on Key Fine-Grained Feature Information for Thermal Infrared Target Tracking.\u003cbr\u003e.- MASEC: Multi-dimensional Adaptive Signal Essence Capturing Framework for Real-time Signal Analysis in Power System.\u003cbr\u003e.- Leverage Automatic Differentiation Routines for Seismic Traveltime Tomography in Tunnels.\u003cbr\u003e.- Hierarchical temporal generative adversarial network-based enhancement of cross subject cross-stage epilepsy electroencephalography data.\u003cbr\u003e.- ML-MultiLoc: Device-Free Passive Multi-Target Indoor Localization Using Multi Label Learning.\u003cbr\u003e.- HIDE: Hyperspectral Imaging Dataset for Camouflaged Target Recognition.\u003cbr\u003e.- TS-Net: An Emotion Recognition Network Based on Temporal-Spatial Features of EEG Signals.\u003cbr\u003e.- Time-Frequency Feature Enhancement Method for Moving Multiple Sound Source Localization in Noisy Environments.\u003cbr\u003e.- LSTM and Hybrid Local-global Transformer Parallel Net: A Novel Method to Recognize the Calls of Newborn Giant Pandas.\u003cbr\u003e.- Research on Rolling Bearing Fault Diagnosis Based on TAGCN-Transformer.\u003cbr\u003e.- Modularity-Guided Adversarial Matrix Factorization for Community Detection Attacks.\u003cbr\u003e.- AFDS-Net: An Attention-Fused Depthwise Separable Network for Acoustic Scene Classification.\u003cbr\u003e.- DynFusion-VC: Zero-Shot Voice Conversion via Optimized Fusion of Features .\u003cbr\u003e.- Efficient Distributed PHD Filtering via Sampling Clustering .\u003cbr\u003e.- Device-free localization based on knowledge distillation method.\u003cbr\u003e.- Exploring Anti-ambiguity Signal Processing for Gesture Recognition in NLoS Spaces.\u003cbr\u003e.- Multi-scale Adaptive Feature Sparse Network for Speech Enhancement in Insect Noise Environments.\u003cbr\u003e.- A speech enhancement method based on Training Lifetime Knowledge Distillation.\u003cbr\u003e.- AP-Fall: Environment-Adaptive Fall Detection via Acoustic Sensing.\u003cbr\u003e.- Personnel Detection via Reinforcement Learning-based Dynamic Parameter Optimization with Vehicle-mounted Ultra-Wideband.\u003cbr\u003e.- Knowledge Tracing Method Based on Multi-Perspective Dynamic Evolution.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53212891873623,"sku":"9789819698042","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/advanced-intelligent-computing-technology-and-applications-9789819698042","provider":"Book Curl","version":"1.0","type":"link"}