دورية أكاديمية

An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model.

التفاصيل البيبلوغرافية
العنوان: An Innovation development of deep-sea bacterial monitoring and classification based on artificial intelligence microbiological model.
المؤلفون: Vidhyalakshmi, M., Manjula, V., Aancy, H. Mickle, Viji Christiana, M. Beulah, Kumar, M. Jogendra, Nirmala, P., Almoallim, Hesham S., Alharbi, Sulaiman Ali, Raghavan, S. S.
المصدر: Automatika: Journal for Control, Measurement, Electronics, Computing & Communications; Aug2024, Vol. 65 Issue 3, p1025-1034, 10p
مصطلحات موضوعية: BACTERIA classification, ARTIFICIAL intelligence, WATER waves, AUTOMOBILE noise, FUEL costs, ENERGY consumption, FUELING
مستخلص: The current sea monitoring equipment's 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. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Supplemental Index
الوصف
تدمد:00051144
DOI:10.1080/00051144.2024.2321812