Matches in SemOpenAlex for { <https://semopenalex.org/work/W4317382643> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4317382643 abstract "In fishing industry, fish populations can move over a vast sea and thus boats often search for days or weeks before making a catch. Given the excessive CO2 emissions from vessels and rising fuel cost, it is important to optimize commercial fishing activities by reducing un-necessary searching period. This study proposes a hybrid recommendation system for predicting the best locations for catching specific fish species and experimented various deep learning based multi-variate time series models to forecast the gross weight of two important species of Norwegian fishery: haddock and mackerel. To ensure the practicality, both recommendation system models and time series forecasting models are trained and deployed using Apache Spark and BigDL, which are frameworks for big data processing and distributed deep learning training. The proposed hybrid recommendation model achieve good performance with RMSE of 0.4933. Deep learning based models are also shown to achieve high performance on forecasting fish gross weight. Through this study, it is revealed that datetime and environmental features can play important roles for building sustainable commercial fishing plan." @default.
- W4317382643 created "2023-01-19" @default.
- W4317382643 creator A5005510665 @default.
- W4317382643 creator A5012674107 @default.
- W4317382643 creator A5083690757 @default.
- W4317382643 creator A5091342676 @default.
- W4317382643 date "2022-12-20" @default.
- W4317382643 modified "2023-09-24" @default.
- W4317382643 title "An Approach to Recommend Fishing Location and Forecast Fish Production by Using Big Data Analysis and Distributed Deep Learning" @default.
- W4317382643 cites W2155912844 @default.
- W4317382643 cites W2727636277 @default.
- W4317382643 cites W2772628444 @default.
- W4317382643 cites W2903618506 @default.
- W4317382643 cites W3119058697 @default.
- W4317382643 cites W4285186884 @default.
- W4317382643 doi "https://doi.org/10.1109/rivf55975.2022.10013876" @default.
- W4317382643 hasPublicationYear "2022" @default.
- W4317382643 type Work @default.
- W4317382643 citedByCount "1" @default.
- W4317382643 countsByYear W43173826432023 @default.
- W4317382643 crossrefType "proceedings-article" @default.
- W4317382643 hasAuthorship W4317382643A5005510665 @default.
- W4317382643 hasAuthorship W4317382643A5012674107 @default.
- W4317382643 hasAuthorship W4317382643A5083690757 @default.
- W4317382643 hasAuthorship W4317382643A5091342676 @default.
- W4317382643 hasConcept C108583219 @default.
- W4317382643 hasConcept C119857082 @default.
- W4317382643 hasConcept C124101348 @default.
- W4317382643 hasConcept C151406439 @default.
- W4317382643 hasConcept C154945302 @default.
- W4317382643 hasConcept C166957645 @default.
- W4317382643 hasConcept C199360897 @default.
- W4317382643 hasConcept C205649164 @default.
- W4317382643 hasConcept C2780040469 @default.
- W4317382643 hasConcept C2781215313 @default.
- W4317382643 hasConcept C41008148 @default.
- W4317382643 hasConcept C505870484 @default.
- W4317382643 hasConcept C50644808 @default.
- W4317382643 hasConcept C514101110 @default.
- W4317382643 hasConcept C58479451 @default.
- W4317382643 hasConcept C75684735 @default.
- W4317382643 hasConcept C79581498 @default.
- W4317382643 hasConcept C86803240 @default.
- W4317382643 hasConceptScore W4317382643C108583219 @default.
- W4317382643 hasConceptScore W4317382643C119857082 @default.
- W4317382643 hasConceptScore W4317382643C124101348 @default.
- W4317382643 hasConceptScore W4317382643C151406439 @default.
- W4317382643 hasConceptScore W4317382643C154945302 @default.
- W4317382643 hasConceptScore W4317382643C166957645 @default.
- W4317382643 hasConceptScore W4317382643C199360897 @default.
- W4317382643 hasConceptScore W4317382643C205649164 @default.
- W4317382643 hasConceptScore W4317382643C2780040469 @default.
- W4317382643 hasConceptScore W4317382643C2781215313 @default.
- W4317382643 hasConceptScore W4317382643C41008148 @default.
- W4317382643 hasConceptScore W4317382643C505870484 @default.
- W4317382643 hasConceptScore W4317382643C50644808 @default.
- W4317382643 hasConceptScore W4317382643C514101110 @default.
- W4317382643 hasConceptScore W4317382643C58479451 @default.
- W4317382643 hasConceptScore W4317382643C75684735 @default.
- W4317382643 hasConceptScore W4317382643C79581498 @default.
- W4317382643 hasConceptScore W4317382643C86803240 @default.
- W4317382643 hasLocation W43173826431 @default.
- W4317382643 hasOpenAccess W4317382643 @default.
- W4317382643 hasPrimaryLocation W43173826431 @default.
- W4317382643 hasRelatedWork W1582797317 @default.
- W4317382643 hasRelatedWork W2165868198 @default.
- W4317382643 hasRelatedWork W2184792063 @default.
- W4317382643 hasRelatedWork W2234919010 @default.
- W4317382643 hasRelatedWork W2366155963 @default.
- W4317382643 hasRelatedWork W2479235919 @default.
- W4317382643 hasRelatedWork W2525096433 @default.
- W4317382643 hasRelatedWork W2598927881 @default.
- W4317382643 hasRelatedWork W3014300295 @default.
- W4317382643 hasRelatedWork W4298358307 @default.
- W4317382643 isParatext "false" @default.
- W4317382643 isRetracted "false" @default.
- W4317382643 workType "article" @default.