A Review of Low-Light Image Enhancement Based on Deep Learning

Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light ...
IEEE

Federated Learning Model Using CBDPL for Medical Image Segmentation

Abstract: Federated learning (FL) allows hospitals and medical centers to train models without sharing patient data. Instead of sending data to a central server, each institution trains the model ...
GitHub

FaultSeg3D: using synthetic datasets to train an end-to-end convolutional neural network for 3D seismic fault segmentation

If you would just like to try out a pretrained example model, then you can download the pretrained model and use the 'prediction.ipynb' script to run a demo. On 05/07/2020, new models are uploaded for ...
PC Magazine

OpenAI Announces Hiring Platform, Will Use AI to Match Companies With Talent

The company is also working on a certification program designed to assure employers that candidates are skilled in using its tools. Our team tests, rates, and reviews more than 1,500 products each ...
IEEE

A Fine-Scale Segmentation Method for Individual Rubber Trees Based on UAV LiDAR Point Cloud

Abstract: As a key tropical economic crop, rubber trees play a vital role in both the global rubber industry and the health of ecological systems. Fine-grained segmentation of rubber tree point clouds ...
Frontiers

Identifying aging-related biomarkers in adipose tissue using integrative bioinformatics and machine-learning approaches: discovery of ELN, MXD1, and FGF21 as key genes

Background: Adipose tissue plays a critical role in aging and age-related diseases. However, the specific molecular and cellular alterations associated with aging in adipose tissue remain incompletely ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
Frontiers

Predictive modeling on the mechanical properties of marine coral sand-clay mixtures based on machine learning algorithms and triaxial shear tests

Marine coral sand-clay mixtures (MCCM) are widely used as fill materials in offshore engineering, where their strength characteristics are critical to structural stability and safety. This study ...