Optimize cleaning school’s restroom by WSN and LSTM approach

The detection and prediction of cleaning conditions in school restrooms are crucial for reducing health risks and improving service quality. Traditional methods like manual hygienic inspection, fixed cleaning schedules, and automatic flushing devices have required large investments of money and effo...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2023-01, Vol.45 (1), p.1057-1065
Hauptverfasser:	Thao, Le Quang, Linh, Le Khanh, Thien, Nguyen Duy, Cuong, Duong Duc, Bach, Ngo Chi, Dang, Nguyen Ha Thai, Hieu, Nguyen Ha Minh, Minh, Nguyen Trieu Hoang, Diep, Nguyen Thi Bich
Format:	Artikel
Sprache:	eng
Schlagworte:	Ammonia Cleaning Inspection Prediction models Recurrent neural networks Relative humidity Task scheduling Wireless sensor networks
Online-Zugang:	Volltext
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