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    Fatigue State Evaluation of Urban Railway Transit Drivers Using Psychological, Biological, and Physical Response Signals by Hao Wu, Yubo Jiao, Chaozhe Jiang, Tong Wang, Jiangbo Yu

    Published 2025-01-01
    “…The results show that fatigue reduced the participants’ reaction time and cognitive ability and led professional drivers to make more conservative decisions. Moreover, we utilized heart rate signals, electrodermal activity, and eye movements from wearable devices and cameras to build a driver fatigue detection model with machine-learning methods. …”
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    An Enhanced Drone Technology for Detecting the Human Object in the Dense Areas Using a Deep Learning Model by Mohamad Reda A. Refaai, Dhruva R. Rinku, I. Thamarai, null S. Meera, Naresh Kumar Sripada, Simon Yishak

    Published 2022-01-01
    “…In recent years, a lot of interest in automated wildfire identification utilizes UAV-based visual information and various deep learning techniques. …”
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    The effectiveness of interactive learning media on dance dynamics material using articulate storyline 3 in elementary schools by Cicilia Ika Rahayu Nita, Alfina Dela Wati

    Published 2024-09-01
    “…However, in reality, teachers have not utilized technological advances optimally in utilizing learning media in the classroom. …”
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    Optimization of the catalytic ozonation process using copper oxide nanoparticles for the removal of benzene from aqueous solutions by L. Mohammadi, E. Bazrafshan, M. Noroozifar, A.R. Ansari-Moghaddama, A.R. Khazaei Feizabad, A.H. Mahvi

    Published 2017-12-01
    “…Findings indicated that the removal of benzene depended on various utilization parameters. The highest efficiency was achieved at reaction time of 50 min, pH of 12, initial benzene concentration of 10 mg/L and catalyst dose of 0.5 g. …”
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