Publications by authors named "Mohammad Mahdi Rezapour Mashhadi"
Article Synopsis
- The study investigates how to classify emotions in speech using machine learning and various audio features.
- The researchers extracted audio features like Mel-frequency cepstral coefficients and zero-crossing rate, augmented their limited dataset, and combined audio files for analysis.
- The random forest model with feature selection outperformed the one-dimensional convolutional neural network, achieving a 69% accuracy overall, highlighting specific misclassifications among emotions like anger and happiness.
Impact of traffic citations to reduce truck crashes on challenging roadway geometry.
Int J Inj Contr Saf Promot
March 2019
Wyoming's Interstate 80 has one of the highest truck crash rates in the United States. This is due to a variety of reasons, including high percentage of truck traffic, adverse weather conditions and mountainous terrain. These factors have caused the Wyoming Highway Patrol (WHP) to spend extensive resources on inspecting commercial vehicles and enforcement of traffic laws in this corridor.
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