Comparing Fish Finding Techniques using Satellite and Indigenous Data based on Different Machine Learning Algorithms

Author:

Thakrar Zalak,Gonsai Atul

Publisher

Springer Nature Singapore

Reference14 articles.

1. Gandhi R, Introduction to machine learning algorithms: linear regression. Towards Data Science. https://towardsdatascience.com/introduction-to-machine-learning-algorithms-linear-regression-14c4e325882a. Accessed 18 May 2022

2. Linear Regression in Machine learning - Javatpoint. https://www.javatpoint.com/linear-regression-in-machine-learning. Accessed 18 May 2022

3. Yadav VK, Jahageerdar S, Bharti VS (2016) Use of different approaches to model catch per unit effort (CPUE) abundance of fish. Indian J Geo Marine Sci 45(12):1677–1687

4. Martinkauppi JB, Shatilova Y, Kekäläinen J, Parkkinen J (2009) Polynomial regression spectra reconstruction of arctic charr’s RGB. In: Lecture notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 5646. LNCS, pp 198–206, 2009. https://doi.org/10.1007/978-3-642-03265-3_21

5. Mondal R, Bhat A (2021) Comparison of regression-based and machine learning techniques to explain alpha diversity of fish communities in streams of central and eastern India. Ecol Ind 129:107922. https://doi.org/10.1016/J.ECOLIND.2021.107922

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