An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model
The current sea monitoring equipments are being used for a variety of purposes around the world. Currently used vehicles have some drawbacks. The first is the high fuel cost. The Vehicle engines cost more fuel as they have to release more power and environment and pollution. As well as not being abl...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-07-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2024.2321812 |
| _version_ | 1797257195136483328 |
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| author | M. Vidhyalakshmi V. Manjula H. Mickle Aancy M. Beulah Viji Christiana M. Jogendra Kumar P. Nirmala Hesham S. Almoallim Sulaiman Ali Alharbi S.S. Raghavan |
| author_facet | M. Vidhyalakshmi V. Manjula H. Mickle Aancy M. Beulah Viji Christiana M. Jogendra Kumar P. Nirmala Hesham S. Almoallim Sulaiman Ali Alharbi S.S. Raghavan |
| author_sort | M. Vidhyalakshmi |
| collection | DOAJ |
| description | The current sea monitoring equipments are being used for a variety of purposes around the world. Currently used vehicles have some drawbacks. The first is the high fuel cost. The Vehicle engines cost more fuel as they have to release more power and environment and pollution. As well as not being able to stay under the sea for long days, there will often be a need for vehicles to come to the surface to refuel. The second is the vibrations and noise of these vehicles. The vibrations caused by these can be detrimental to the biodiversity of the ocean. Also, the noise makes it easier for enemies to identify our vehicles. Similarly when these vehicles go under water, water waves form on the surface. With this in mind, radar can detect what a vehicle under the sea looks like. In this paper, an artificial intelligence based microbiological model was proposed to monitor the sea level. With this biological model can greatly reduce fuels. It can get more capacity than normal vehicles. As fuel consumption decreases, so it does environmental pollution and since it operates quietly and without high vibrations, there is no threat to the biodiversity of the ocean. |
| first_indexed | 2024-04-24T22:33:46Z |
| format | Article |
| id | doaj.art-83a31953087f4df997b7d42353f8364b |
| institution | Directory Open Access Journal |
| issn | 0005-1144 1848-3380 |
| language | English |
| last_indexed | 2024-04-24T22:33:46Z |
| publishDate | 2024-07-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Automatika |
| spelling | doaj.art-83a31953087f4df997b7d42353f8364b2024-03-19T13:05:25ZengTaylor & Francis GroupAutomatika0005-11441848-33802024-07-016531025103410.1080/00051144.2024.2321812An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological modelM. Vidhyalakshmi0V. Manjula1H. Mickle Aancy2M. Beulah Viji Christiana3M. Jogendra Kumar4P. Nirmala5Hesham S. Almoallim6Sulaiman Ali Alharbi7S.S. Raghavan8Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, IndiaSchool of Computer Science and Engineering, Vellore Institute of Technology, Chennai, IndiaDepartment of Management Studies, Panimalar Engineering College, Chennai, IndiaDepartment of Management Studies, Panimalar Engineering College, Chennai, IndiaDepartment of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, IndiaDepartment of Electronics and Communication, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, IndiaDepartment of Oral and Maxillofacial Surgery, College of Dentistry, King Saud University, Riyadh, Saudi ArabiaDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi ArabiaDepartment of Health Sciences, University of Texas Health Science Center, Tyler, TX, USAThe current sea monitoring equipments are being used for a variety of purposes around the world. Currently used vehicles have some drawbacks. The first is the high fuel cost. The Vehicle engines cost more fuel as they have to release more power and environment and pollution. As well as not being able to stay under the sea for long days, there will often be a need for vehicles to come to the surface to refuel. The second is the vibrations and noise of these vehicles. The vibrations caused by these can be detrimental to the biodiversity of the ocean. Also, the noise makes it easier for enemies to identify our vehicles. Similarly when these vehicles go under water, water waves form on the surface. With this in mind, radar can detect what a vehicle under the sea looks like. In this paper, an artificial intelligence based microbiological model was proposed to monitor the sea level. With this biological model can greatly reduce fuels. It can get more capacity than normal vehicles. As fuel consumption decreases, so it does environmental pollution and since it operates quietly and without high vibrations, there is no threat to the biodiversity of the ocean.https://www.tandfonline.com/doi/10.1080/00051144.2024.2321812Artificial intelligencebiodiversityenvironmental pollutionhigh fuel costsea monitoring equipments |
| spellingShingle | M. Vidhyalakshmi V. Manjula H. Mickle Aancy M. Beulah Viji Christiana M. Jogendra Kumar P. Nirmala Hesham S. Almoallim Sulaiman Ali Alharbi S.S. Raghavan An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model Automatika Artificial intelligence biodiversity environmental pollution high fuel cost sea monitoring equipments |
| title | An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model |
| title_full | An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model |
| title_fullStr | An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model |
| title_full_unstemmed | An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model |
| title_short | An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model |
| title_sort | innovation development of deep sea bacterial monitoring and classification based on artificial intelligence microbiological model |
| topic | Artificial intelligence biodiversity environmental pollution high fuel cost sea monitoring equipments |
| url | https://www.tandfonline.com/doi/10.1080/00051144.2024.2321812 |
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