Found 3039 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Data Augmentation for Deep Learning-based Radio Modulation Classification

Furthermore, with data augmentation, radio modulation categories can be successfully classified using shorter radio samples, leading to a simplified deep learning model and shorter the classification response time. Expand abstract.
6 days ago
10/10 relevant
arXiv

Deep Generalization of Structured Low Rank Algorithms (Deep-SLR)

The main difference of the proposed scheme with current model-based deep learning strategies is the learning of non-linear annihilation relations in Fourier space using a modelbased framework. Expand abstract.
6 days ago
5/10 relevant
arXiv

Learning from Synthetic Dataset for Crop Seed Instance Segmentation

We propose that constructing and utilizing such synthetic data can be a powerful method to alleviate human labor costs needed to prepare the training dataset for deep learning in the agricultural domain. Expand abstract.
6 days ago
6/10 relevant
bioRxiv

Deep Anomaly Detection in Packet Payload

To overcome these limitations and adaptively detect anomalies from the packet payload, we propose a deep learning based framework which consists of two steps. Expand abstract.
7 days ago
4/10 relevant
arXiv

Deep learning enables structured illumination microscopy with low light levels and enhanced speed

Using deep learning to augment structured illumination microscopy (SIM), we obtained a fivefold reduction in the number of raw images required for super-resolution SIM, and generated images under extreme low light conditions (100X fewer photons). Expand abstract.
7 days ago
10/10 relevant
bioRxiv

Making densenet interpretable a case study in clinical radiology

The proposed framework provides a mechanism for interpreting DenseNet deep learning architectures. Expand abstract.
7 days ago
4/10 relevant
medRxiv

Learning Multi-Object Tracking and Segmentation from Automatic Annotations

Our second major contribution is MOTSNet - a deep learning, tracking-by-detection architecture for MOTS - deploying a novel mask-pooling layer for improved object association over time. Expand abstract.
8 days ago
4/10 relevant
arXiv

State estimation of surface and deep flows from sparse SSH observations of geostrophic ocean turbulence using Deep Learning

Nonetheless, by providing a proof of concept, our results point to Deep Learning as a viable alternative to existing interpolation and more generally state estimation methods for satellite observations of baroclinic ocean turbulence. Expand abstract.
8 days ago
10/10 relevant
EarthArXiv

Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI

We demonstrate its effectiveness integrated within our new deep learning framework, showing that it enables the extension to 3D of a recent state-of-the-art 2D approach. Expand abstract.
9 days ago
4/10 relevant
arXiv

Make Thunderbolts Less Frightening -- Predicting Extreme Weather Using Deep Learning

Machine learning approaches and especially deep learning have however shown huge improvements in many research areas dealing with large datasets in recent years. Expand abstract.
9 days ago
10/10 relevant
arXiv