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Underwater Image Restoration Based on Convolutional Neural Network.

, , , , and . ACML, volume 95 of Proceedings of Machine Learning Research, page 296-311. PMLR, (2018)

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Apply Fuzzy Markup Language to ASAP Assessment System., , , , , and . On the Power of Fuzzy Markup Language, volume 296 of Studies in Fuzziness and Soft Computing, Springer, (2013)Apply fuzzy ontology to CMMI-based ASAP assessment system., , , , , , and . FUZZ-IEEE, page 1-8. IEEE, (2010)Fuzzy markup language for university assessment., , , , , , , and . SMC, page 954-959. IEEE, (2011)Applying FML-Based Fuzzy Ontology to University Assessment., , , , , , , and . On the Power of Fuzzy Markup Language, volume 296 of Studies in Fuzziness and Soft Computing, Springer, (2013)T2FML-based adaptive assessment system for computer game of Go., , , , , and . FUZZ-IEEE, page 1-7. IEEE, (2013)Audio signals encoding for cough classification using convolutional neural networks: A comparative study., , , and . BIBM, page 442-445. IEEE Computer Society, (2015)Spiral Bit-string Representation of Color for Image Retrieval., , and . Int. Arab J. Inf. Technol., 7 (3): 223-230 (2010)Approaches, Challenges and Future Direction of Image Retrieval, , and . CoRR, (2010)Towards Semantic User Query: A Review., , and . J. Comput. Sci., 11 (10): 1017-1024 (2015)An efficient parameters selection for object recognition based colour features in traffic image retrieval., , and . Int. Arab J. Inf. Technol., 11 (3): 308-314 (2014)