… This study has contributed to research on automatic inspection and defects detection of oil
and gas tanks. This method includes the use of a drone capable of moving in all directions to …

… the faults as an automatic diagnosis technique. The proposed … has an excellent performance
for fault identification. The simulation … Xie, ‘‘A new adaptive cascaded stochastic resonance …

… According to the above experimental results, the cascaded … defect detection for small bolts
from the high-definition image of … detection precision makes it feasible to automatically detect …

… defect detection method of auto parts based on machine learning is mainly to extract the
defect … The application of deep neural network to image processing has achieved satisfying …

… based on Neural Network (NN) algorithms and very few approaches in the literature were
based on Fuzzy Logic … for blueberry fruit identification using multi-spectral image analysis. In …

… is significantly impacting the field of image analysis. In this study, … , image acquisition, image
processing, and image analysis in … can automatically understand, analyze, and judge image …

… neural networks, fuzzy logic and computational procedures. So this … The test results show
that Cascaded Forest is superior to the … Deep learning can learn the features automatically with …

… for motor condition monitoring and early fault detection system, the method can … image
pixels is estimated using an improved algorithm, and then, through the introduction of fuzzy logic …

… is to revolutionize concrete defect analysis by delivering an accurate and automated …
The information is compressed as it passes through a series of cascading convolutions and …

… load variation, (c) the fuzzy logic algorithm is used to improve the accuracy … cascade observer,
and (d) the adaptive algorithm is used for auto tuning and important parameter of cascade …