Matches in SemOpenAlex for { <https://semopenalex.org/work/W4362514193> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W4362514193 endingPage "2880" @default.
- W4362514193 startingPage "2861" @default.
- W4362514193 abstract "Aquaculture has long been a critical economic sector in Taiwan. Since a key factor in aquaculture production efficiency is water quality, an effective means of monitoring the dissolved oxygen content (DOC) of aquaculture water is essential. This study developed an internet of things system for monitoring DOC by collecting essential data related to water quality. Artificial intelligence technology was used to construct a water quality prediction model for use in a complete system for managing water quality. Since aquaculture water quality depends on a continuous interaction among multiple factors, and the current state is correlated with the previous state, a model with time series is required. Therefore, this study used recurrent neural networks (RNNs) with sequential characteristics. Commonly used RNNs such as long short-term memory model and gated recurrent unit (GRU) model have a memory function that appropriately retains previous results for use in processing current results. To construct a suitable RNN model, this study used Taguchi method to optimize hyperparameters (including hidden layer neuron count, iteration count, batch size, learning rate, and dropout ratio). Additionally, optimization performance was also compared between 5-layer and 7-layer network architectures. The experimental results revealed that the 7-layer GRU was more suitable for the application considered in this study. The values obtained in tests of prediction performance were mean absolute percentage error of 3.7134%, root mean square error of 0.0638, and R-value of 0.9984. Therefore, the water quality management system developed in this study can quickly provide practitioners with highly accurate data, which is essential for a timely response to water quality issues. This study was performed in collaboration with the Taiwan Industrial Technology Research Institute and a local fishery company. Practical application of the system by the fishery company confirmed that the monitoring system is effective in improving the survival rate of farmed fish by providing data needed to maintain DOC higher than the standard value." @default.
- W4362514193 created "2023-04-06" @default.
- W4362514193 creator A5023756898 @default.
- W4362514193 creator A5042632224 @default.
- W4362514193 creator A5082848973 @default.
- W4362514193 date "2023-01-01" @default.
- W4362514193 modified "2023-10-16" @default.
- W4362514193 title "Artificial Intelligence in Internet of Things System for Predicting Water Quality in Aquaculture Fishponds" @default.
- W4362514193 doi "https://doi.org/10.32604/csse.2023.036810" @default.
- W4362514193 hasPublicationYear "2023" @default.
- W4362514193 type Work @default.
- W4362514193 citedByCount "0" @default.
- W4362514193 crossrefType "journal-article" @default.
- W4362514193 hasAuthorship W4362514193A5023756898 @default.
- W4362514193 hasAuthorship W4362514193A5042632224 @default.
- W4362514193 hasAuthorship W4362514193A5082848973 @default.
- W4362514193 hasBestOaLocation W43625141931 @default.
- W4362514193 hasConcept C105795698 @default.
- W4362514193 hasConcept C119857082 @default.
- W4362514193 hasConcept C124101348 @default.
- W4362514193 hasConcept C139719470 @default.
- W4362514193 hasConcept C139945424 @default.
- W4362514193 hasConcept C147168706 @default.
- W4362514193 hasConcept C154945302 @default.
- W4362514193 hasConcept C162324750 @default.
- W4362514193 hasConcept C18903297 @default.
- W4362514193 hasConcept C2778348673 @default.
- W4362514193 hasConcept C2780797713 @default.
- W4362514193 hasConcept C2909208804 @default.
- W4362514193 hasConcept C33923547 @default.
- W4362514193 hasConcept C41008148 @default.
- W4362514193 hasConcept C505870484 @default.
- W4362514193 hasConcept C50644808 @default.
- W4362514193 hasConcept C83469408 @default.
- W4362514193 hasConcept C8642999 @default.
- W4362514193 hasConcept C86803240 @default.
- W4362514193 hasConcept C86909935 @default.
- W4362514193 hasConceptScore W4362514193C105795698 @default.
- W4362514193 hasConceptScore W4362514193C119857082 @default.
- W4362514193 hasConceptScore W4362514193C124101348 @default.
- W4362514193 hasConceptScore W4362514193C139719470 @default.
- W4362514193 hasConceptScore W4362514193C139945424 @default.
- W4362514193 hasConceptScore W4362514193C147168706 @default.
- W4362514193 hasConceptScore W4362514193C154945302 @default.
- W4362514193 hasConceptScore W4362514193C162324750 @default.
- W4362514193 hasConceptScore W4362514193C18903297 @default.
- W4362514193 hasConceptScore W4362514193C2778348673 @default.
- W4362514193 hasConceptScore W4362514193C2780797713 @default.
- W4362514193 hasConceptScore W4362514193C2909208804 @default.
- W4362514193 hasConceptScore W4362514193C33923547 @default.
- W4362514193 hasConceptScore W4362514193C41008148 @default.
- W4362514193 hasConceptScore W4362514193C505870484 @default.
- W4362514193 hasConceptScore W4362514193C50644808 @default.
- W4362514193 hasConceptScore W4362514193C83469408 @default.
- W4362514193 hasConceptScore W4362514193C8642999 @default.
- W4362514193 hasConceptScore W4362514193C86803240 @default.
- W4362514193 hasConceptScore W4362514193C86909935 @default.
- W4362514193 hasIssue "3" @default.
- W4362514193 hasLocation W43625141931 @default.
- W4362514193 hasOpenAccess W4362514193 @default.
- W4362514193 hasPrimaryLocation W43625141931 @default.
- W4362514193 hasRelatedWork W2377835268 @default.
- W4362514193 hasRelatedWork W3199608561 @default.
- W4362514193 hasRelatedWork W4210794429 @default.
- W4362514193 hasRelatedWork W4223456145 @default.
- W4362514193 hasRelatedWork W4280535922 @default.
- W4362514193 hasRelatedWork W4283697347 @default.
- W4362514193 hasRelatedWork W4295309597 @default.
- W4362514193 hasRelatedWork W4309113015 @default.
- W4362514193 hasRelatedWork W4313854490 @default.
- W4362514193 hasRelatedWork W1629725936 @default.
- W4362514193 hasVolume "46" @default.
- W4362514193 isParatext "false" @default.
- W4362514193 isRetracted "false" @default.
- W4362514193 workType "article" @default.