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Pixel-wise Road Pavement Defects Detection Using U-Net Deep Neural Network.

, and . IDAACS, page 468-471. IEEE, (2019)

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Selecting Neural Networks for a Committee Decision., , and . Int. J. Neural Syst., 12 (5): 351-361 (2002)Design of 3D Scene Scanner for Flat Surface Detection., , and . Issues and Challenges in Artificial Intelligence, volume 559 of Studies in Computational Intelligence, Springer, (2014)Selecting Neural Networks for Making a Committee Decision., , and . ICANN, volume 2415 of Lecture Notes in Computer Science, page 420-425. Springer, (2002)Soft combination of neural classifiers: A comparative study., , , , and . Pattern Recognit. Lett., 20 (4): 429-444 (1999)Development of Sound Identification System for Domestic Actions Recognition., , , , , and . IDAACS, page 714-719. IEEE, (2021)Intelligent deflection yoke magnetic field tuning., , , , , , and . J. Intell. Manuf., 15 (3): 275-286 (2004)Aggregation of Pixel-Wise U-Net Deep Neural Networks for Road Pavement Defects Detection., and . SocProS (1), volume 1138 of Advances in Intelligent Systems and Computing, page 109-120. Springer, (2019)Amber Gemstones Colour Classification by CNN., , and . IDAACS, page 531-536. IEEE, (2023)Defects Localization in Images Using Deep Learning-Based Classification with CAM Output., , , and . IDAACS, page 487-492. IEEE, (2023)Pixel-level Road Pavement Defects Segmentation Based on Various Loss Functions., and . IDAACS, page 292-300. IEEE, (2021)