A hybrid Bi-LSTM and RBM approach for advanced underwater object detection

Manimurugan S.; Karthikeyan P.; Narmatha C.; Majed M. Aborokbah; Anand Paul; Subramaniam Ganesan; Rajendran T.; Mohammad Ammad-Uddin

doi:10.1371/journal.pone.0313708

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Open Access

Peer-reviewed

Research Article

A hybrid Bi-LSTM and RBM approach for advanced underwater object detection

Manimurugan S. ,

Roles Conceptualization, Writing – original draft

* E-mail: mmurugan@ut.edu.sa

Affiliations Faculty of Computers and Information Technology, University of Tabuk, Tabuk City, Kingdom of Saudi Arabia, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India
⨯
Karthikeyan P.,

Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

Affiliation School of Computer Science & Engineering, RV University, Bengaluru, India

https://orcid.org/0000-0001-8977-5520

⨯
Narmatha C.,

Roles Software

Affiliation Faculty of Computers and Information Technology, University of Tabuk, Tabuk City, Kingdom of Saudi Arabia
⨯
Majed M. Aborokbah,

Roles Formal analysis, Validation, Visualization

Affiliation Faculty of Computers and Information Technology, University of Tabuk, Tabuk City, Kingdom of Saudi Arabia
⨯
Anand Paul,

Roles Formal analysis, Validation

Affiliation Department of Biostatistics and Data Science, The School of Public Health, Louisiana State University Health Sciences Center, New Orleans, Louisiana, United States of America
⨯
Subramaniam Ganesan,

Roles Investigation, Supervision

Affiliation Department of Electrical and Computer Engineering, Oakland University, Rochester, Rochester, Michigan, United States of America
⨯
Rajendran T.,

Roles Resources

Affiliation Department of Sustainable Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

https://orcid.org/0000-0003-0759-1846

⨯
Mohammad Ammad-Uddin

Roles Funding acquisition, Project administration

Affiliation Faculty of Computers and Information Technology, University of Tabuk, Tabuk City, Kingdom of Saudi Arabia
⨯

A hybrid Bi-LSTM and RBM approach for advanced underwater object detection

Manimurugan S.,
Karthikeyan P.,
Narmatha C.,
Majed M. Aborokbah,
Anand Paul,
Subramaniam Ganesan,
Rajendran T.,
Mohammad Ammad-Uddin

Published: November 22, 2024
https://doi.org/10.1371/journal.pone.0313708

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