TY  - JOUR
AU  - Rajendran, D.
AU  - Sasilatha, T.
AU  - Rajendran, S.
AU  - Selvaraj, S.K.
AU  - Lacnjevac, C.
AU  - Prabha, S.S.
AU  - Rathish, R.J.
PY  - 2022
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6171
AB  - Artificial intelligence is a branch of science concerned with teaching machines to think and act like humans. Machine learning is concerned with enabling computers to perform tasks without the need for explicit programming. Machine Learning enables computers to learn without the need for explicit programming. Machine Learning is a broad field that encompasses a wide range of machine learning operations such as clustering, classification, and the development of predictive models. Machine Learning (ML) and Deep Learning (DL) research is now finding a home in both industry and academia. Machine Learning technologies are increasingly being used in medical imaging. To detect tumours and other malignant growths in the human body. Deep Learning is making significant contributions to the advancement of industrial robotics. Machine learning algorithms are used in the self-driving car industry to guide the vehicle to its destination. Deep Learning and Machine Learning are also used in corrosion science and engineering. They are used to choose the inhibitor molecules from a large pool of available molecules. © 2022 Authors.
T2  - Materials Protection
T2  - Materials Protection
T1  - Application of machine learning in corrosion inhibition study
EP  - 290
IS  - 3
SP  - 280
VL  - 63
DO  - 10.5937/zasmat2203280R
ER  - 

@article{
author = "Rajendran, D. and Sasilatha, T. and Rajendran, S. and Selvaraj, S.K. and Lacnjevac, C. and Prabha, S.S. and Rathish, R.J.",
year = "2022",
abstract = "Artificial intelligence is a branch of science concerned with teaching machines to think and act like humans. Machine learning is concerned with enabling computers to perform tasks without the need for explicit programming. Machine Learning enables computers to learn without the need for explicit programming. Machine Learning is a broad field that encompasses a wide range of machine learning operations such as clustering, classification, and the development of predictive models. Machine Learning (ML) and Deep Learning (DL) research is now finding a home in both industry and academia. Machine Learning technologies are increasingly being used in medical imaging. To detect tumours and other malignant growths in the human body. Deep Learning is making significant contributions to the advancement of industrial robotics. Machine learning algorithms are used in the self-driving car industry to guide the vehicle to its destination. Deep Learning and Machine Learning are also used in corrosion science and engineering. They are used to choose the inhibitor molecules from a large pool of available molecules. © 2022 Authors.",
journal = "Materials Protection, Materials Protection",
title = "Application of machine learning in corrosion inhibition study",
pages = "290-280",
number = "3",
volume = "63",
doi = "10.5937/zasmat2203280R"
}

Rajendran, D., Sasilatha, T., Rajendran, S., Selvaraj, S.K., Lacnjevac, C., Prabha, S.S.,& Rathish, R.J.. (2022). Application of machine learning in corrosion inhibition study. in Materials Protection, 63(3), 280-290.
https://doi.org/10.5937/zasmat2203280R

Rajendran D, Sasilatha T, Rajendran S, Selvaraj S, Lacnjevac C, Prabha S, Rathish R. Application of machine learning in corrosion inhibition study. in Materials Protection. 2022;63(3):280-290.
doi:10.5937/zasmat2203280R .

Rajendran, D., Sasilatha, T., Rajendran, S., Selvaraj, S.K., Lacnjevac, C., Prabha, S.S., Rathish, R.J., "Application of machine learning in corrosion inhibition study" in Materials Protection, 63, no. 3 (2022):280-290,
https://doi.org/10.5937/zasmat2203280R . .