„Data compression“
Suchergebnisse
1.115 Treffer
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MEDCO: an efficient protocol for data compression in wireless body sensor network
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Video Compression through Advanced Video Saliency Aware Spatial-Temporal Integration and Attention Mechanisms
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Wavelet Tree, Part II: Text Indexing
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Understanding phase transitions of α-quartz under dynamic compression conditions by machine-learning driven atomistic simulations
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Hyperspectral data compression by using rational function curve fitting in spectral signature subintervals and Savitsky-Golay smoothing filter
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Healthcare professionals’ knowledge, attitudes, and practices regarding graduated compression stockings: a survey of China’s big-data network
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Resources utilisation and economic burden of percutaneous vertebroplasty or percutaneous kyphoplasty for treatment of osteoporotic vertebral compression fractures in China: a retrospective claim database study
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Phase-shifting digital holographic data compression
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Peridynamic differential operator for lossy compression and recovery of 3D point cloud data
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Data Model Compression Method Based on Iterative Pruning and Distillation for Edge Non-Intrusive Load Monitoring
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A comprehensive study of fisheye image compression and perception for autonomous driving
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AI-powered GUI for prediction of axial compression capacity in concrete-filled steel tube columns
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PRF: deep neural network compression by systematic pruning of redundant filters
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DNACoder: a CNN-LSTM attention-based network for genomic sequence data compression
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Advanced assistance tool for optimal compression spring design
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Global Instance Relation Distillation for convolutional neural network compression
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Evaluation of dependency of compression index on toughness limit for fine-grained soils
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A self-adaptive intelligent single-particle optimizer compression algorithm
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A novel genetic algorithm-based approach for compression and acceleration of deep learning convolution neural network: an application in computer tomography lung cancer data
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Compression of deep neural networks: bridging the gap between conventional-based pruning and evolutionary approach