Author of the publication

Mixed Seabed Sediment Classification Based on Transferred Convolutional Neural Network: A Case Study in the Ancient River Valley.

, , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Performance of multiple access CSK communication system with DF cooperative strategy., , , , and . Automatic Control and Computer Sciences, 50 (4): 244-252 (2016)Credit rating of sustainable agricultural supply chain finance by integrating heterogeneous evaluation information and misclassification risk., , and . Ann. Oper. Res., 331 (1): 189-219 (December 2023)Sediment Classification of Acoustic Backscatter Image Based on Stacked Denoising Autoencoder and Modified Extreme Learning Machine., , , , and . Remote. Sens., 12 (22): 3762 (2020)A New Method for Continuous Monitoring of Black and Odorous Water Body Using Evaluation Parameters: A Case Study in Baoding., , , , , , , and . Remote. Sens., 14 (2): 374 (2022)A modified threshold score-based multilevel thresholding segmentation technique for brain magnetic resonance images using opposition-based learning hybrid rice optimization algorithm., , , , and . Int. J. Imaging Syst. Technol., 33 (2): 622-643 (March 2023)Heterogeneous multi-attribute nonadditivity fusion for behavioral three-way decisions in interval type-2 fuzzy environment., , and . Inf. Sci., (2019)Sediment Classification of Small-Size Seabed Acoustic Images Using Convolutional Neural Networks., , , , , and . IEEE Access, (2019)From 10 m to 11000 m, Automatic Processing Multi-Beam Bathymetric Data Based on PGO Method., , , , , , , and . IEEE Access, (2021)Risk interval-valued three-way decisions model with regret theory and its application to project resource allocation., , , and . J. Oper. Res. Soc., 72 (1): 180-199 (2021)Milling Tool Wear Prediction Method Based on Deep Learning Under Variable Working Conditions., , , , and . IEEE Access, (2020)