Convolutional Neural Network and LSTM for Seat Belt Detection in Vehicles using YOLO3 by Erika Udayanti, Etika Kartikadarma, Fahri Firdausillah

“…Several types of violations detected include the use of seat belts, the use of cell phones while driving, which is influenced by the number of vehicles, vehicle speed and lighting, which can increase the difficulty in the detection process. …”
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The use of modern e-health services including telemedicine and telepharmacy for remote patient care in Saudi Arabia by Farah K. Alhomoud

“…The most used e-health tools were telephones or cell phones (69.0%) and WhatsApp applications (64.0%) followed by Zoom application (50.0%) and Sehhaty application. …”
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Reliability and concurrent validity of the iHandy level mobile application to measure thoracolumbar range of motion in low back pain patients by Nimra Ijaz, Saima Riaz, Tahreem Raza, Sidra Ali

“…However, the legitimacy and trustworthiness of these cell phones and applications are still questioned. This study aimed to determine the reliability and concurrent validity of the iHandy level mobile application to measure the thoracolumbar range of motion in people with low back pain. …”
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The Affirmative Action and Household Income Status of the Batwa Community Evicted From Bwindi Impenetrable Forest National Park, Kanungu District, Uganda by Saulo, Katariko

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Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence by Jinjin Rong, Xu Ji, Xin Fang, Moon-Hwan Jee

“…A significant number of the AI applications on cell phones accessible today could screen wellbeing information, like every day exercises, diet, and surprisingly the senior’s way of life, in a less nosy way. …”
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