Visibility classification and influencing-factors analysis of airport: A deep learning approach

Studies on the validity of strain sensors for pavement monitoring: A case study for a fiber Bragg grating sensor and resistive sensor

(2022) Zhen Liu et al.   CONSTRUCTION AND BUILDING MATERIALS

A survey on deep learning and its applications

(2021) Shi Dong et al.   Computer Science Review

Detection of concealed cracks from ground penetrating radar images based on deep learning algorithm

(2020) Shuwei Li et al.   CONSTRUCTION AND BUILDING MATERIALS

VisNet: Deep Convolutional Neural Networks for Forecasting Atmospheric Visibility

(2019) Akmaljon Palvanov et al.   SENSORS

Use of cameras for monitoring visibility impairment

(2018) William Malm et al.   ATMOSPHERIC ENVIRONMENT

Characterization and identification of asphalt mixtures based on Convolutional Neural Network methods using X-ray scanning images

(2018) Jiwang Jiang et al.   CONSTRUCTION AND BUILDING MATERIALS

Relative CNN-RNN: Learning Relative Atmospheric Visibility from Images

(2018) Yang You et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Toolkits and Libraries for Deep Learning

(2017) Bradley J. Erickson et al.   JOURNAL OF DIGITAL IMAGING

A new visibility measurement system based on a black target and a comparative trial with visibility instruments

(2016) Fanjie Tang et al.   ATMOSPHERIC ENVIRONMENT

A K-S Type Test for Exponentiality Based on Empirical Hankel Transforms

(2013) L. Baringhaus et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

A model-driven approach to estimate atmospheric visibility with ordinary cameras

(2011) Raouf Babari et al.   ATMOSPHERIC ENVIRONMENT

Parameterization of Runway Visual Range as a Function of Visibility: Implications for Numerical Weather Prediction Models

(2011) Faisal S. Boudala et al.   JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY