Original scientific paper
https://doi.org/10.1080/00051144.2024.2321812
An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model
M. Vidhyalakshmi
; Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India
V. Manjula
; School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India
H. Mickle Aancy
; Department of Management Studies, Panimalar Engineering College, Chennai, India
M. Beulah Viji Christiana
; Department of Management Studies, Panimalar Engineering College, Chennai, India
M. Jogendra Kumar
; Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India
P. Nirmala
; Department of Electronics and Communication, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
*
Hesham S. Almoallim
; Department of Oral and Maxillofacial Surgery, College of Dentistry, King Saud University, Riyadh, Saudi Arabia
Sulaiman Ali Alharbi
; Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
S.S. Raghavan
; Department of Health Sciences, University of Texas Health Science Center, Tyler, TX, USA
* Corresponding author.
Abstract
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.
Keywords
Artificial intelligence; biodiversity; environmental pollution; high fuel cost; sea monitoring equipments
Hrčak ID:
326243
URI
Publication date:
19.3.2024.
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