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Found 6 papers, 2 papers with code
CFHTLenS: A Weak Lensing Shear Analysis of the 3D-Matched-Filter Galaxy Clusters
We present the cluster mass-richness scaling relation calibrated by a weak lensing analysis of >18000 galaxy cluster candidates in the Canada-France-Hawaii Telescope Lensing Survey (CFHTLenS).
Cosmology and Nongalactic Astrophysics
A Deep Learning Model for Traffic Flow State Classification Based on Smart Phone Sensor Data
A total of 747, 856 sets of data are generated and used for both traffic flow states classification and sensitivity analysis of input variables.
Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network
Results show that the proposed model has the highest classification performance in comparison to the traditional machine learning techniques.
An Improved Deep Belief Network Model for Road Safety Analyses
In this paper, we attempt to demonstrate the potential of this new model for crash prediction through two case studies including a collision data set from 800 km stretch of Highway 401 and other highways in Ontario, Canada.
Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data
Road maintenance during the Winter season is a safety critical and resource demanding operation.
Spectroscopic and Photometric Redshift Estimation by Neural Networks For the China Space Station Optical Survey (CSS-OS)
This indicates that the neural network method is feasible and powerful for spec-z and photo-z estimations in future cosmological surveys.
Photometric Redshift Estimation
Cosmology and Nongalactic Astrophysics
