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Now showing items 3101-3110 of 3165
Reveal the hidden layer via entity embedding in traffic prediction
(
Elsevier B.V.
, 2019 , Conference Paper)
The neural network-based models have been widely used in traffic prediction. They have improved accuracy and efficiency in traffic flow, speed, passenger flow, and delay. Many variables are considered to predict traffic ...
Using pavements to generate electricity
(
Elsevier B.V.
, 2019 , Conference Paper)
As part of developing a safe, efficient, and sustainable transportation infrastructure, health monitoring of pavements and bridges, as well as the monitoring of real-time roadway conditions for safety, have become increasingly ...
Literature Review of Advancements in Adaptive Ramp Metering
(
Elsevier
, 2016 , Conference Paper)
Over a period spanning more than 30 years, several ramp metering algorithms have been developed to improve the operation of freeways. Many of these algorithms were deployed in several regions of the world, and field ...
Time Delay and Cost Overrun in Qatari Public Construction Projects
(
Elsevier Ltd
, 2016 , Conference Paper)
This paper investigated cost overruns and delays in Qatari public construction projects. An extensive review of regional and international publications was conducted to get a better understanding of the problem and the ...
Alcohol use and burden for 195 countries and territories, 1990-2016: A systematic analysis for the Global Burden of Disease Study 2016
(
Elsevier
, 2018 , Conference Paper)
Background Alcohol use is a leading risk factor for death and disability, but its overall association with health remains
complex given the possible protective effects of moderate alcohol consumption on some conditions. ...
Optimising stop-bands in periodic waveguides using genetic algorithms and wave finite element method
(
American Institute of Physics
, 2024 , Conference Paper)
In this paper, we propose using the wave finite element method and genetic algorithms to design periodic waveguide structures with optimal stop-bands. Instead of modelling waveguides using the standard finite element method, ...
Reconstruction of Road Defects from Dynamic Vehicle Accelerations by Using the Artificial Neural Networks
(
Springer Science and Business Media B.V.
, 2023 , Conference Paper)
Monitoring of roads is considered the first step in establishing a successful road maintenance program, which includes scheduling adequate maintenance to a certain road section at the right time. Road monitoring assesses ...
Road Profile Estimation Using Full/Quarter-Car Model with Artificial Neural Networks
(
Springer Science and Business Media Deutschland GmbH
, 2024 , Conference Paper)
The monitoring of road roughness is one of the first and most critical steps in road maintenance. Road networks need constant maintenance to function properly and avoid any hazardous accidents or blockage of the traffic ...
A MEASUREMENT CAMPAIGN TO INVESTIGATE THE EFFECT OF USING SOFT RAILPADS ON GROUND-BORNE VIBRATIONS FROM UNDERGROUND RAILWAYS
(
Society of Acoustics
, 2023 , Conference Paper)
Railway networks may run through or beneath populated regions and significant landmarks. Hence, the ground-borne vibration caused by the trains might affect nearby buildings, residents, and the sensitive equipment within ...
Classification of Process Pipework Vibration Using Machine Learning
(
Springer Science and Business Media Deutschland GmbH
, 2024 , Conference Paper)
This paper aims to use a deep convolution neural network (CNN) to classify pipework vibrations. Vibration levels are a good indicator of the risk of vibration-induced fatigue failures (VIF). Vibrations in pipework are very ...