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Defect Detection of Photovoltaic Modules Based on Convolutional Neural Network.

, , , , , и . MLICOM (1), том 226 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 122-132. Springer, (2017)

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Sparse Photoacoustic Microscopy Reconstruction Based on Matrix Nuclear Norm Minimization., , , , и . MLICOM (1), том 226 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 49-56. Springer, (2017)Defect Detection of Photovoltaic Modules Based on Convolutional Neural Network., , , , , и . MLICOM (1), том 226 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 122-132. Springer, (2017)A Low Power Branch Prediction for Deep Learning on RISC-V Processor., , , и . ASAP, стр. 203-206. IEEE, (2021)Curvelet Based Image Fusion for Ultrasound Contrast Harmonic Imaging., , , и . IIH-MSP, стр. 953-956. IEEE Computer Society, (2009)Weighted singular value thresholding for sparse photoacoustic microscopy., , , , , и . I2MTC, стр. 1-6. IEEE, (2017)Advanced RMPCT control strategy in CDU., , , и . ROBIO, стр. 2273-2277. IEEE, (2007)Photoacoustic tomography based on a novel linear array ultrasound transducer configuration., , , , , и . I2MTC, стр. 1-5. IEEE, (2017)Feature selection and classification algorithm for non-destructive detecting of high-speed rail defects based on vibration signals., , , , , , и . I2MTC, стр. 819-823. IEEE, (2014)A neural network estimation model based light dose control method and system for low-temperature photothermal therapy., , , , и . Biomed. Signal Process. Control., (августа 2023)Photoacoustic signals Denoising Based on Empirical Mode Decomposition and Energy-Window Method., , , , и . Adv. Data Sci. Adapt. Anal., (2012)