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Baraah Qawasmeh on Muck Rack

Baraah Qawasmeh

As seen in: MDPI
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Articles

Comparative Analysis of AlexNet, ResNet-50, and VGG-19 Performance for Automated Feature Recognition in Pedestrian Crash Diagrams

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By Baraah Qawasmeh, Jun-Seok Oh, Valerian Kwigizile
| MDPI
1. Introduction Walking is gaining popularity as a mode of transportation. According to the U.S. Census Bureau’s American Community Survey (ACS), approximately 3.4 million American workers reported walking to work in the past week in 2021 [1]. Unfortunately, the number of pedestrian fatalities and injuries has grown considerably in recent years.
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Micro-Mobility Safety Assessment: Analyzing Factors Influencing the Micro-Mobility Injuries in Michigan by Mining Crash Reports

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By Jun-Seok Oh, Valerian Kwigizile, Baraah Qawasmeh
| MDPI
1. Introduction In recent years, the micro-mobility concept has emerged, offering environmentally favorable and convenient alternatives to conventional modes of transportation to address urban transportation challenges. Micro-mobility comprises an extensive array of compact and lightweight vehicles, such as bicycles, skateboards, and personal mobility devices, including electric scooters, segways, and electric wheelchairs [1,2].
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