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The effect of deep learning reconstruction on abdominal CT densitometry and image quality
The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis
Multistep traffic forecasting by dynamic graph convolution
Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations
Research On ADCN Method For Damage Detection Of Mining Conveyor Belt
Research On ADCN Method For Damage Detection Of Mining Conveyor Belt
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis
Time-Frequency Decomposition of Scalp Electroencephalograms Improves Deep Learning-Based Epilepsy Diagnosis
A survey on machine learning-based performance improvement of wireless networks
A survey on machine learning-based performance improvement of wireless networks: PHY, MAC and network layer
Airborne Laser Scanning Point Cloud Classification Using the DGCNN Deep Learning Method
Airborne Laser Scanning Point Cloud Classification Using the DGCNN Deep Learning Method
Perception modelling by invariant representation of deep learning for automated structural diagnostic in aircraft maintenance
Perception modelling by invariant representation of deep learning for automated structural diagnostic in aircraft maintenance: A study case using DeepSHM
Classification of airborne laser scanning point cloud using point-based convolutional neural network
Classification of airborne laser scanning point cloud using point-based convolutional neural network
Longitudinal diffusion MRI analysis using Segis-Net
Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration
Feasibility of a neural network‐based virtual sensor for vehicle unsprung mass relative velocity estimation
Feasibility of a neural network‐based virtual sensor for vehicle unsprung mass relative velocity estimation
Machine Learning in Chemical Engineering
Machine Learning in Chemical Engineering: A Perspective
A comparative study of point clouds semantic segmentation using three different neural networks on the railway station dataset
A comparative study of point clouds semantic segmentation using three different neural networks on the railway station dataset
Lookahead adversarial learning for near real-time semantic segmentation
Lookahead adversarial learning for near real-time semantic segmentation
Recurrent inference machines as inverse problem solvers for MR relaxometry
Recurrent inference machines as inverse problem solvers for MR relaxometry
A semi-supervised autoencoder framework for joint generation and classification of breathing
A semi-supervised autoencoder framework for joint generation and classification of breathing
A survey on deep learning in medical image reconstruction
A survey on deep learning in medical image reconstruction
Traditional vs. Machine-learning methods for forecasting sandy shoreline evolution using historic satellite-derived shorelines
Traditional vs. Machine-learning methods for forecasting sandy shoreline evolution using historic satellite-derived shorelines
Deep learning for CVA computations of large portfolios of financial derivatives
Deep learning for CVA computations of large portfolios of financial derivatives
A generic high-throughput microstructure classification and quantification method for regular SEM images of complex steel microstructures combining EBSD labeling and deep learning
A generic high-throughput microstructure classification and quantification method for regular SEM images of complex steel microstructures combining EBSD labeling and deep learning
On the Importance of Pooling Layer Tuning for Profiling Side-Channel Analysis
On the Importance of Pooling Layer Tuning for Profiling Side-Channel Analysis
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