Matches in SemOpenAlex for { <https://semopenalex.org/work/W3037929211> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W3037929211 endingPage "100" @default.
- W3037929211 startingPage "88" @default.
- W3037929211 abstract "Classification of underwater images is a challenging task due to wavelength-dependent light propagation, absorption, and dispersion distort the visibility of images, which produces low contrast and degraded images in difficult operating environments. Deep learning algorithms are suitable to classify the turbid images, for that softmax activation function used for classification and minimize cross-entropy loss. The proposed deep underwater image classification model (DUICM) uses a convolutional neural network (CNN), a machine learning algorithm, for automatic underwater image classification. It helps to train the image and apply the classification techniques to categorise the turbid images for the selected features from the Benchmark Turbid Image Dataset. The proposed system was trained with several underwater images based on CNN models, which are independent to each sort of underwater image formation. Experimental results show that DUICM provides better classification accuracy against turbid underwater images. The proposed neural network model is validated using turbid images with different characteristics to prove the generalization capabilities." @default.
- W3037929211 created "2020-07-02" @default.
- W3037929211 creator A5026456703 @default.
- W3037929211 creator A5032641038 @default.
- W3037929211 creator A5033265329 @default.
- W3037929211 creator A5042494194 @default.
- W3037929211 date "2020-07-01" @default.
- W3037929211 modified "2023-10-04" @default.
- W3037929211 title "DUICM Deep Underwater Image Classification Mobdel using Convolutional Neural Networks" @default.
- W3037929211 cites W2510572670 @default.
- W3037929211 cites W2522256182 @default.
- W3037929211 cites W2588463901 @default.
- W3037929211 cites W2591930867 @default.
- W3037929211 cites W2595156303 @default.
- W3037929211 cites W2598457882 @default.
- W3037929211 cites W2618861439 @default.
- W3037929211 cites W2765222550 @default.
- W3037929211 cites W2781762404 @default.
- W3037929211 cites W2782796222 @default.
- W3037929211 cites W2783265781 @default.
- W3037929211 cites W2886075188 @default.
- W3037929211 cites W2896671317 @default.
- W3037929211 cites W2902031966 @default.
- W3037929211 cites W2954819764 @default.
- W3037929211 cites W2963246747 @default.
- W3037929211 cites W2990176100 @default.
- W3037929211 cites W2991488782 @default.
- W3037929211 cites W2995134778 @default.
- W3037929211 cites W3099025816 @default.
- W3037929211 cites W3102431071 @default.
- W3037929211 doi "https://doi.org/10.4018/ijghpc.2020070106" @default.
- W3037929211 hasPublicationYear "2020" @default.
- W3037929211 type Work @default.
- W3037929211 sameAs 3037929211 @default.
- W3037929211 citedByCount "6" @default.
- W3037929211 countsByYear W30379292112021 @default.
- W3037929211 countsByYear W30379292112022 @default.
- W3037929211 countsByYear W30379292112023 @default.
- W3037929211 crossrefType "journal-article" @default.
- W3037929211 hasAuthorship W3037929211A5026456703 @default.
- W3037929211 hasAuthorship W3037929211A5032641038 @default.
- W3037929211 hasAuthorship W3037929211A5033265329 @default.
- W3037929211 hasAuthorship W3037929211A5042494194 @default.
- W3037929211 hasConcept C108583219 @default.
- W3037929211 hasConcept C111368507 @default.
- W3037929211 hasConcept C115961682 @default.
- W3037929211 hasConcept C120665830 @default.
- W3037929211 hasConcept C121332964 @default.
- W3037929211 hasConcept C123403432 @default.
- W3037929211 hasConcept C127313418 @default.
- W3037929211 hasConcept C13280743 @default.
- W3037929211 hasConcept C153180895 @default.
- W3037929211 hasConcept C154945302 @default.
- W3037929211 hasConcept C185798385 @default.
- W3037929211 hasConcept C188441871 @default.
- W3037929211 hasConcept C31972630 @default.
- W3037929211 hasConcept C41008148 @default.
- W3037929211 hasConcept C75294576 @default.
- W3037929211 hasConcept C81363708 @default.
- W3037929211 hasConcept C98083399 @default.
- W3037929211 hasConceptScore W3037929211C108583219 @default.
- W3037929211 hasConceptScore W3037929211C111368507 @default.
- W3037929211 hasConceptScore W3037929211C115961682 @default.
- W3037929211 hasConceptScore W3037929211C120665830 @default.
- W3037929211 hasConceptScore W3037929211C121332964 @default.
- W3037929211 hasConceptScore W3037929211C123403432 @default.
- W3037929211 hasConceptScore W3037929211C127313418 @default.
- W3037929211 hasConceptScore W3037929211C13280743 @default.
- W3037929211 hasConceptScore W3037929211C153180895 @default.
- W3037929211 hasConceptScore W3037929211C154945302 @default.
- W3037929211 hasConceptScore W3037929211C185798385 @default.
- W3037929211 hasConceptScore W3037929211C188441871 @default.
- W3037929211 hasConceptScore W3037929211C31972630 @default.
- W3037929211 hasConceptScore W3037929211C41008148 @default.
- W3037929211 hasConceptScore W3037929211C75294576 @default.
- W3037929211 hasConceptScore W3037929211C81363708 @default.
- W3037929211 hasConceptScore W3037929211C98083399 @default.
- W3037929211 hasIssue "3" @default.
- W3037929211 hasLocation W30379292111 @default.
- W3037929211 hasOpenAccess W3037929211 @default.
- W3037929211 hasPrimaryLocation W30379292111 @default.
- W3037929211 hasRelatedWork W2621864722 @default.
- W3037929211 hasRelatedWork W2732542196 @default.
- W3037929211 hasRelatedWork W2738221750 @default.
- W3037929211 hasRelatedWork W2758063741 @default.
- W3037929211 hasRelatedWork W2766604260 @default.
- W3037929211 hasRelatedWork W2883041339 @default.
- W3037929211 hasRelatedWork W2977314777 @default.
- W3037929211 hasRelatedWork W3000978536 @default.
- W3037929211 hasRelatedWork W3156786002 @default.
- W3037929211 hasRelatedWork W564581980 @default.
- W3037929211 hasVolume "12" @default.
- W3037929211 isParatext "false" @default.
- W3037929211 isRetracted "false" @default.
- W3037929211 magId "3037929211" @default.
- W3037929211 workType "article" @default.