INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Flooding incidents in India significantly threaten human lives and infrastructure. This research paper presents a comparative analysis of machine learning and IoT techniques integrated with edge computing for flood prediction. Our proposed cyber-physical system aims to provide timely alerts for water flooding, detect illegal debris dumping, and prevent sound pollution. By analyzing diverse models and methodologies, we evaluate their effectiveness in achieving accurate flood prediction. Leveraging machine learning algorithms and IoT sensor data, combined with edge computing capabilities, our system facilitates real-time decision-making and enhances the efficiency of flood management. The findings of this study contribute to informed flood management strategies, mitigating the impact of flooding incidents and safeguarding lives and property.
Keywords:
Smart City, Edge Computing, Machine Learning, Flood Prediction, LDA Algorithm, Web Application
Cite Article:
"Citizen Alert System for Flood Prediction Using Machine Learning and Edge Computing", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i898-i903, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305908.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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