Deep learning-based monitoring and localization in autonomous underwater vehicle networks for aquatic ecosystem analysis.
Saved in:
| Title: | Deep learning-based monitoring and localization in autonomous underwater vehicle networks for aquatic ecosystem analysis. |
|---|---|
| Authors: | Ananthi M; Department of Computer Science and Business Systems, KGISL Institute of Technology, Coimbatore, Tamil Nadu, India., Suresh C; Department of Computer Science and Engineering, KIT-KalaignarKarunanidhi Institute of Technology, Coimbatore, Tamil Nadu, India., Poovizhi P; Department of Information Technology, Dr. N.G.P. Institute of Technology, Coimbatore, Tamil Nadu, India., Kumar RL; Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning), KIT-KalaignarKarunanidhi Institute of Technology, Coimbatore, Tamil Nadu, India. |
| Source: | Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering [J Environ Sci Health A Tox Hazard Subst Environ Eng] 2026; Vol. 61 (8), pp. 635-649. Date of Electronic Publication: 2026 May 31. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Country of Publication: England NLM ID: 9812551 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-4117 (Electronic) Linking ISSN: 10934529 NLM ISO Abbreviation: J Environ Sci Health A Tox Hazard Subst Environ Eng Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1532-4117 |
|---|---|
| DOI: | 10.1080/10934529.2026.2672257 |
