Water Consumption Monitoring with Fixture Recognition Using Random Forest

• المؤلفون الرئيسيون: Somontina, James Adrian B, Garcia, Felan Carlo, Macabebe, Erees Queen B
• التنسيق: text
• منشور في: Archīum Ateneo 2019
• الموضوعات: fixtures; water resources; monitoring; real-time systems; water conservation; machine learning; IEEE regions; water consumption monitoring; random forest; fixture recognition; Electrical and Computer Engineering
• الوصول للمادة أونلاين: https://archium.ateneo.edu/ecce-faculty-pubs/14; https://ieeexplore.ieee.org/abstract/document/8650112/

Water is a limited resource that is essential for sustaining life but is often wasted. By monitoring water consumption in real time, users become aware of the amount of water that they utilize. This contribution presents a water monitoring system that determines the volume of water consumed for the...