Design and Implementation of Student Intelligent Attendance System Based on Internet of Things Technology
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1979-2_29
Reference20 articles.
1. Moravčević D, Branislavb J, Stefana M, Vesnaa P, Danijel D (2020) A smart data logger system based on sensor and internet of things technology as part of the smart faculty. J Ambient Intell Smart Environ 12.4:359–373
2. Kassab M, DeFranco J, Laplante P (2020) A systematic literature review on internet of things in education: benefits and challenges. J Comput Assist Learn 36(2):115–127
3. Roy AS, Lan H, Gheisari M, Abbasi AA, Moshayedi AJ, Liao L, Hosseini Bamakan SM (2022) Automation attendance systems approaches: a practical review. BOHR Int J Internet of Things, Artif Intell Mach Learn 1.1:25–34
4. Tata Sutabri, Pamungkur, Ade Kurniawan, Raymond Erz Saragih (2019) Automatic attendance system for university student using face recognition based on deep learning. Int J Mach Learn Comput 9.5:668–674
5. Qianwen Miao F, Xiao HH, Sun L, Wang R (2019) Smart attendance system based on frequency distribution algorithm with passive RFID tags. Tsinghua Sci Technol 25(2):217–226
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