Desalination of Marine water using Machine Learning Methods

Krishna U. Parvathy; Akhil Krishnan; Mahipal Bukya; Rajesh Kumar; Princy Randhawa

doi:10.1109/ICRITO51393.2021.9596489

Desalination of Marine water using Machine Learning Methods

Krishna U. Parvathy
, Akhil Krishnan
, Mahipal Bukya
, Rajesh Kumar
, Princy Randhawa

Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Bengaluru

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Previous works for water desalination usually work for hybrid fault diagonalisation methods. Which has the advantage of improving the dresolution, accuracy and reliability. However, such an assumption is not accurate in certain cases. In this paper, the water desalination fault is detected using the machine learning technique. The proposed method uses the raw data which is obtained from the desalination system. Here machine learning techniques such as deep learning and decision trees were deployed and it was formed that the results obtained from decision trees were more accurate than deep learning.

Original language	English
Title of host publication	2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665417037
DOIs	https://doi.org/10.1109/ICRITO51393.2021.9596489
Publication status	Published - 2021
Event	9th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021 - Noida, India Duration: 03-09-2021 → 04-09-2021

Publication series

Name	2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021

Conference

Conference	9th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021
Country/Territory	India
City	Noida
Period	03-09-21 → 04-09-21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Information Systems
Information Systems and Management
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/ICRITO51393.2021.9596489

Cite this

Parvathy, K. U., Krishnan, A., Bukya, M., Kumar, R., & Randhawa, P. (2021). Desalination of Marine water using Machine Learning Methods. In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021 (2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICRITO51393.2021.9596489

Parvathy, Krishna U. ; Krishnan, Akhil ; Bukya, Mahipal et al. / Desalination of Marine water using Machine Learning Methods. 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021).

@inproceedings{b9ae884d75444514a3c325e8b06e7ea5,

title = "Desalination of Marine water using Machine Learning Methods",

abstract = "Previous works for water desalination usually work for hybrid fault diagonalisation methods. Which has the advantage of improving the dresolution, accuracy and reliability. However, such an assumption is not accurate in certain cases. In this paper, the water desalination fault is detected using the machine learning technique. The proposed method uses the raw data which is obtained from the desalination system. Here machine learning techniques such as deep learning and decision trees were deployed and it was formed that the results obtained from decision trees were more accurate than deep learning.",

author = "Parvathy, \{Krishna U.\} and Akhil Krishnan and Mahipal Bukya and Rajesh Kumar and Princy Randhawa",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 9th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021 ; Conference date: 03-09-2021 Through 04-09-2021",

year = "2021",

doi = "10.1109/ICRITO51393.2021.9596489",

language = "English",

series = "2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021",

address = "United States",

}

Parvathy, KU, Krishnan, A, Bukya, M, Kumar, R & Randhawa, P 2021, Desalination of Marine water using Machine Learning Methods. in 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021. 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021, Institute of Electrical and Electronics Engineers Inc., 9th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021, Noida, India, 03-09-21. https://doi.org/10.1109/ICRITO51393.2021.9596489

Desalination of Marine water using Machine Learning Methods. / Parvathy, Krishna U.; Krishnan, Akhil; Bukya, Mahipal et al.
2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Desalination of Marine water using Machine Learning Methods

AU - Parvathy, Krishna U.

AU - Krishnan, Akhil

AU - Bukya, Mahipal

AU - Kumar, Rajesh

AU - Randhawa, Princy

PY - 2021

Y1 - 2021

N2 - Previous works for water desalination usually work for hybrid fault diagonalisation methods. Which has the advantage of improving the dresolution, accuracy and reliability. However, such an assumption is not accurate in certain cases. In this paper, the water desalination fault is detected using the machine learning technique. The proposed method uses the raw data which is obtained from the desalination system. Here machine learning techniques such as deep learning and decision trees were deployed and it was formed that the results obtained from decision trees were more accurate than deep learning.

AB - Previous works for water desalination usually work for hybrid fault diagonalisation methods. Which has the advantage of improving the dresolution, accuracy and reliability. However, such an assumption is not accurate in certain cases. In this paper, the water desalination fault is detected using the machine learning technique. The proposed method uses the raw data which is obtained from the desalination system. Here machine learning techniques such as deep learning and decision trees were deployed and it was formed that the results obtained from decision trees were more accurate than deep learning.

UR - https://www.scopus.com/pages/publications/85123366945

UR - https://www.scopus.com/pages/publications/85123366945#tab=citedBy

U2 - 10.1109/ICRITO51393.2021.9596489

DO - 10.1109/ICRITO51393.2021.9596489

M3 - Conference contribution

AN - SCOPUS:85123366945

T3 - 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021

BT - 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th IEEE International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021

Y2 - 3 September 2021 through 4 September 2021

ER -

Parvathy KU, Krishnan A, Bukya M, Kumar R, Randhawa P. Desalination of Marine water using Machine Learning Methods. In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2021). doi: 10.1109/ICRITO51393.2021.9596489

Desalination of Marine water using Machine Learning Methods

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this