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Are Professional Drivers more Aggressive than General Drivers? A Case Study from Doha, Qatar
(
Elsevier B.V.
, 2022 , Conference Paper)
Previous studies have revealed that aggressive and reckless driving can largely affect the occurrence and severity of road crashes. There could be intentional aggressive and unsafe acts, which could significantly affect ...
Assessment of School Bus Assistant’s Safety Perspective in the State of Qatar
(
Elsevier B.V.
, 2022 , Conference Paper)
School Bus Assistants (SBA) are appointed to bridge the communication gap between students and drivers, and to ensure the safety of students on the school buses. The purpose of this study is to assess the safety procedures ...
Assessment of turn signal use at two-lane roundabouts in Doha city
(
Elsevier B.V
, 2022 , Conference Paper)
Turn signal and lane change indicators can be identified as an effective way for drivers to communicate with each other. Additionally, the use of turn signals has significant safety implications. This study explored the ...
Effect of Voltage Level on the Performance of Silicone Rubber in the Inclined Plane Tracking and Erosion Test
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
This paper investigates the effect of the test voltage level on the performance of silicone rubber in inclined plane tracking and erosion test. Silicone rubber composites, filled with either alumina tri-hydrate or ground ...
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
A teacher in a school plays significant role in classroom while teaching the students. Similarly, learning via privileged information (LUPI) gives extra information generated by a teacher to 'teach' the learning algorithm ...
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Time series forecasting remains a challenging task in data science while it is of great relevance to decision-making in various industries such as transportation, finance, electricity resource management, meteorology. ...
Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Since situation awareness (SA) plays an important role in many fields, the measure of SA is one of the most concerning problems. Using physiological signals to evaluate SA is becoming a popular research topic because of ...
Deep Reservoir Computing Based Random Vector Functional Link for Non-sequential Classification
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Reservoir Computing (RC) is well-suited for simpler sequential tasks which require inexpensive, rapid training, and the Echo State Network (ESN) plays a significant role in RC. In this article, we proposed variations of ...
An Enhanced Multi-Phase Stochastic Differential Evolution Framework for Numerical Optimization
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
Real-life problems can be expressed as optimization problems. These problems pose a challenge for researchers to design efficient algorithms that are capable of finding optimal solutions with the least budget. Stochastic ...
A New Deep Learning Method for Accurate Cardiac Heart Failure Prediction from RR Interval Measurements
(
IEEE
, 2022 , Conference Paper)
cardiovascular diseases are the major cause of death worldwide. Early detection of heart failure will assist patients and medical professionals in taking better precautions to reduce risks. The objective of this study is ...