A Machine Learning Approach to Analyze Marine Life Sustainability-Reference-Cited by-同舟云学术

A Machine Learning Approach to Analyze Marine Life Sustainability

Published:2021 Issue: Volume: Page:619-632
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Jain Danish,Shah Shanay,Mehta Heeket,Lodaria Ayushi,Kurup Lakshmi

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8443-5_53

Reference22 articles.

1. Bhardwaj, D., Verma, N.: Research paper on analysing impact of various parameters on water quality index. Int. J. Adv. Res. Comput. Sci. 8(5), 2496–2498 (2017)

2. Prajithkumar, S., Verma, D.S., Mane, S.J.: Prediction of water quality index of Pavna river using ANN model. Int. J. Eng. Res. Tech. (IJERT) 03(12), 121 (2014)

3. Meher, P.K., Sharma, P., Gautam, Kumar A., Mishra, K.: Evaluation of water quality of Ganges river using water quality index tool. Environ. Asia. 8, 124–132 (2015). https://doi.org/10.14456/ea.2015.15

4. Boulder Area Sustainability Information Network—Water Quality Index [Online]. Available http://bcn.boulder.co.us/basin/watershed/wqi_info.html

5. Gajendran, C.: Water quality assessment and prediction modelling of Nambiyar River basin. Tamil Nadu, India (2011)

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