📄 Research Article
AJCR Vol. 7, No. 4 (2020)
STUDY OF ML ALGORITHM IN SMART DRINKING WATER MANAGEMENTSYSTEM FOR PREDICTING WATER LEAKAGE IN PIPE
Rojina Shakya & Gajendra Sharma
Department of Computer Science & Engineering Kathmandu University, Dhulikhel, Kavre
Open Access
Peer Reviewed
Research Article
Abstract
Water is the elixir of life which is a transparent, tasteless, odorless, nearly colorless chemical and inseparable element of every living creatures. Being the second richest country in the water resources, it is actually the matter of melancholy that Nepalese are facing the problem of scarcity of water in the highest degree. Thus, the water should be managed in a felicitous way by adopting the smart technology where the implementation of IoT must be followed by ML so that the prior detection of possible damages in the water pipes can be determined. In this paper, we propose a smart water management model where the integration of internet of things is done with the ML Algorithms for identifying the possibility of break down in water pipes by analyzing all the data sets obtained from the information of pipe.
Keywords:
Smart Water Management, Internet of things, Machine Learning
📑 How to Cite This Article
APA 7th Edition:
Rojina Shakya, Gajendra Sharma (2020). STUDY OF ML ALGORITHM IN SMART DRINKING WATER MANAGEMENTSYSTEM FOR PREDICTING WATER LEAKAGE IN PIPE. Academic Journal of Current Research, 7(4), 30-35. https://doi.org/
Rojina Shakya, Gajendra Sharma (2020). STUDY OF ML ALGORITHM IN SMART DRINKING WATER MANAGEMENTSYSTEM FOR PREDICTING WATER LEAKAGE IN PIPE. Academic Journal of Current Research, 7(4), 30-35. https://doi.org/
Vancouver Style:
Rojina Shakya, Gajendra Sharma. STUDY OF ML ALGORITHM IN SMART DRINKING WATER MANAGEMENTSYSTEM FOR PREDICTING WATER LEAKAGE IN PIPE. Acad. J. Curr. Res.. 2020;7(4):30-35. DOI:
Rojina Shakya, Gajendra Sharma. STUDY OF ML ALGORITHM IN SMART DRINKING WATER MANAGEMENTSYSTEM FOR PREDICTING WATER LEAKAGE IN PIPE. Acad. J. Curr. Res.. 2020;7(4):30-35. DOI:
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