9 hasil untuk "Amir SHTAYAT"
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Artikel Jurnal
Studying the performance of pavement defects at different road slopes using the vibration-based method and deep machine learning
Road networks are the backbone of urban life and significantly impact the sustainability of any country's infrastructure sector. Therefore, it is necessary to maintain the condition of roads and pavements through continuous monitoring and periodic maintenance in order to achieve the highest levels…
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Artikel Jurnal
Using e-bikes and private cars in dynamic road pavement monitoring
The high cost and time involved with traditional road pavement monitoring approaches as well as the high costs of pavement monitoring equipment necessitate the need for introducing a cheap, accurate and straightforward road pavement monitoring method. Pavement monitoring systems are considered as…
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Artikel Jurnal Teks lengkap
Evaluation of the Applications of using Global free Digital Elevation Models and GNSS-RTK data for Agricultural purposes in Egypt using Machine Learning
Agriculture is a vital component of Egypt's economy; therefore, using Digital Elevation Models (DEMs) in agricultural planning in Egypt has significant benefits regarding water management, site appropriateness assessment, flood risk mitigation, and infrastructure construction. It is also essential…
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Artikel Jurnal
Using supervised machine learning algorithms in pavement degradation monitoring
Pavement monitoring plays a vital role in maintaining sustainable road network conditions and provides road users with satisfactory comfort riding. Regular and routine monitoring provide clear information on road conditions and the level of damage to pavement surfaces. In this study, a…
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Artikel Jurnal
An Overview of Pavement Degradation Prediction Models
Pavement management systems (PMSs) have a primary role in determining pavement condition monitoring and maintenance strategies. Moreover, many researchers have focused on pavement condition evaluation tools, starting with data collection, followed by processing, analyzing, and ultimately reaching…
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Artikel Jurnal
Application of noise-cancelling and smoothing techniques in road pavement vibration monitoring data
Road pavement surfaces need routine and regular monitoring and inspection to keep the surface layers in high-quality condition. However, the population growth and the increases in the number of vehicles and the length of road networks worldwide have required researchers to identify appropriate and…
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Artikel Jurnal
Dynamic data-driven speed measurement and safety evaluation at signalised intersections: A deep learning-based approach
Precise speed monitoring is vital for law enforcement, crash reduction, and roadway safety. This study applies deep learning to extract precise speed profiles of pedestrians and vehicles to evaluate Surrogate Safety Measures (SSMs) from dynamic (video) data. The YOLOv11, combined with Deep SORT…
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Artikel Jurnal
A review of monitoring systems of pavement condition in paved and unpaved roads
The rising number of vehicles on roadways expedites the urge to increase efforts in implementing monitoring systems that look after road pavement conditions. This rising in number of vehicles on roadways also cause more damages and distresses on road pavement. Road pavement conditions should be…