Low Cost IoT based Flood Monitoring System Using Machine Learning and Neural Networks: Flood Alerting and Rainfall Prediction-Reference-Cited by-同舟云学术

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Low Cost IoT based Flood Monitoring System Using Machine Learning and Neural Networks: Flood Alerting and Rainfall Prediction

Published:2020-03 Issue: Volume: Page:
ISSN:
Container-title:2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
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Author:

Rani Dola Sheeba,Jayalakshmi G N,Baligar Vishwanath P

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9057352/9074834/09074928.pdf?arnumber=9074928

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automated weather forecasting and field monitoring using GRU-CNN model along with IoT to support precision agriculture;Expert Systems with Applications;2024-09

2. A low-cost IoT-based deep learning method of water gauge measurement for flood monitoring;Geomatics, Natural Hazards and Risk;2024-07-08

3. Machine Learning Role in Internet of Things (IoT) Based Research: A Review;2024 International Conference on Computational Intelligence and Computing Applications (ICCICA);2024-05-23

4. An heuristic rainfall pattern prediction using dynamic tuning parameters with novel attenuation measurements by comparing random forest over k-nearest neighbour;AIP Conference Proceedings;2024

5. A comprehensive survey on IoT and AI based applications in different pre-harvest, during-harvest and post-harvest activities of smart agriculture;Computers and Electronics in Agriculture;2024-01

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