Deep learning and machine learning classification technique for integrated forecasting Article Swipe
M. Vigilson Prem
,
Sterlin Rani Devakadacham
,
S. Nithya Devi
,
N. Nandhakumar
,
Manjunathan Alagarsamy
,
S. Kannadhasan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.11591/ijai.v13.i2.pp1519-1525
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.11591/ijai.v13.i2.pp1519-1525
Smart fisheries are increasingly using artificial intelligence (AI) technologies to increase their sustainability. The potential fishing zone (PFZ) forecasts several fish aggregation zones throughout the duration of the prediction in any sea. The autoregressive integrated moving average (ARIMA) and random forest model are used in the current study to provide a technique for locating viable fishing zones in deep marine seas. A significant amount of data was gathered for the database's creation, including monitoring information for Indian fishing fleets from 2017 to 2019. Using expert label datasets for validation, it was discovered that the model's detection accuracy was 98%. Our method uses salinity and dissolved oxygen, two crucial markers of water quality, to identify suitable fishing zones for the first time. In the current research, a system was created to identify and map the quantity of fishing activity. The tests use a number of parameter measurements to evaluate the contrast-enhanced computed tomography (CECT) approach to machine learning (ML) and deep learning (DL) methodologies. The findings showed that the CECT had a 94% accuracy rate compared to a convolutional neural network's 92% accuracy rate for the 80% training data and 20% testing data.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.11591/ijai.v13.i2.pp1519-1525
- https://ijai.iaescore.com/index.php/IJAI/article/download/22765/13954
- OA Status
- diamond
- Cited By
- 2
- References
- 22
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4393974686Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.11591/ijai.v13.i2.pp1519-1525Digital Object Identifier
- Title
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Deep learning and machine learning classification technique for integrated forecastingWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-04-05Full publication date if available
- Authors
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M. Vigilson Prem, Sterlin Rani Devakadacham, S. Nithya Devi, N. Nandhakumar, Manjunathan Alagarsamy, S. KannadhasanList of authors in order
- Landing page
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https://doi.org/10.11591/ijai.v13.i2.pp1519-1525Publisher landing page
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https://ijai.iaescore.com/index.php/IJAI/article/download/22765/13954Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://ijai.iaescore.com/index.php/IJAI/article/download/22765/13954Direct OA link when available
- Concepts
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Autoregressive integrated moving average, Fishing, Computer science, Random forest, Artificial intelligence, Convolutional neural network, Artificial neural network, Machine learning, Deep learning, Sustainability, Contrast (vision), Fishery, Time series, Ecology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2954390006, https://openalex.org/W2417064059, https://openalex.org/W3100431304, https://openalex.org/W3135686383, https://openalex.org/W3196308418, https://openalex.org/W3165685657, https://openalex.org/W2955224916, https://openalex.org/W3013911456, https://openalex.org/W3001760905, https://openalex.org/W4239533237, https://openalex.org/W2932315469, https://openalex.org/W3159049320, https://openalex.org/W4308488197, https://openalex.org/W4313257360, https://openalex.org/W4296203611, https://openalex.org/W4312186858, https://openalex.org/W4223478633, https://openalex.org/W4214884506, https://openalex.org/W4205507618, https://openalex.org/W4206911247, https://openalex.org/W3206941713, https://openalex.org/W3197065975 |
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