Description

Book Synopsis

.- 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.

Advanced Intelligent Computing Technology and Applications

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    A Paperback by De-Shuang Huang

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      View other formats and editions of Advanced Intelligent Computing Technology and Applications by De-Shuang Huang

      Publisher: Springer
      Publication Date: 02/10/2025
      ISBN13: 9789819698042, 978-9819698042
      ISBN10:
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis

      .- 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.

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