Active Acoustic Signature Extraction by Machine Learning Data Analysis for Underwater Fish Counters

Vasile, Gabriel; Girard, Alexandre; d'Urso, Guy; Oliveira, Eric de; Hieramente, Franck; Philippe, Olivier

doi:10.1109/ieeeconf38699.2020.9389105

Cited by 2 publications

(1 citation statement)

References 12 publications

(9 reference statements)

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“…The general concepts of machine learning and classification algorithms are mentioned to further explain image detection. Machine learning can be briefly defined as programming the computer to teach and learn tasks on its own and it is very related to artificial intelligence [13]. The main purpose of this technology is to allow machines to perform tasks without any human assistance.…”

Section: Machine Learning Concept and Methodsmentioning

confidence: 99%

Underwater Image Detection for Cleaning Purposes; Techniques Used for Detection Based on Machine Learning

Goxhaj

Yilmaz

Kouhalvandi

et al. 2022

Acta Marisiensis. Seria Technologica

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Serious problems are on the rise, especially in these current times. The world is facing too many environmental threats. Water pollution is one of the main issues threatening the future. In some parts of the world, the water’s surface is covered by mucilage, which is dangerous for both aquatic animals and humans. This article firstly defines mucilage and highlights the reasons for its production. Afterwards to tackle water pollution, cleaning systems using image detection with the help of machine learning supervised classification algorithms are highlighted. This paper showcases the machine learning and classification used as well as the best solution for convolutional neural network and region-based convolutional neural network methods.

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Section: Machine Learning Concept and Methodsmentioning

confidence: 99%