Results 61 to 70 of about 5,760,846 (200)
From model, signal to knowledge: a data-driven perspective of fault detection and diagnosis [PDF]
, 2013 This review paper is to give a full picture of fault detection and diagnosis (FDD) in complex systems from the perspective of data processing. As a matter of fact, an FDD system is a data-processing system on the basis of information redundancy, in which
Dai, Xuewu, Gao, Zhiwei
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A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory
IEEE Photonics Journal, 2020 Due to more or less deviations in the imaging system, there will be noise in the image, which makes the image segmentation inaccurate. To divide a natural image into a more accurate binary image, the target and background of the image are effectively ...
Sensen Song +3 more
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Adaptive detection in nonhomogeneous environments using the generalized eigenrelation [PDF]
, 2007 This letter considers adaptive detection of a signal in a nonhomogeneous environment, more precisely under a covariance mismatch between the test vector and the training samples, due to an interference that is not accounted for by the training samples ...
Orlando, Danilo, Besson, Olivier
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Inter-Turn Short Circuit Detection Based on Modulation Signal Bispectrum Analysis of Motor Current Signals [PDF]
, 2013 Motor current signature analysis (MCSA) is a common practice in industry for finding motor faults. However, because of small modulations caused by faults and high noise contamination, it is difficult to quantify the modulation in measured signals which ...
Gu, Fengshou +5 more
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Frontiers in Plant ScienceIntroductionEffective pest management is important during the natural growth phases of cotton in the wild. As cotton fields are infested with “tiny pests” (smaller than 32×32 pixels) and “very tiny pests” (smaller than 16×16 pixels) during growth, making
Sen Yang +9 more
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JAD-TransUNet: A Multilevel Multimodal Semantic Segmentation Algorithm for Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAchieving high-precision classification of high-resolution remote sensing images is of paramount importance in the field of remote sensing research. Recently, the integration of three-band optical images [e.g., red, green, and blue (RGB) or infrared-red ...
Tingji Han +6 more
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A Study of Non-stationary Signal Processing for Machinery Condition Monitoring [PDF]
Machinery condition monitoring techniques are carried out based on the knowledge of the characteristics of signals obtained from a machine or plant. These signals are often non stationary signals whose frequency changes over time due to the time-varying ...
Zhen, Dong
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High-sensitivity detection of narrowband light in a more intense broadband background using coherence interferogram phase [PDF]
, 2006 This paper describes an optical interferometric detection technique,. known as the interferogram phase step shift, which detects narrowband, coherent, and partially coherent light in more intense broadband incoherent background light using changes in the
Coutinho, RC, Griffiths, HD, Selviah, DR
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Advances in Neural Information Processing Systems 37We introduce and study the problem of detecting whether an agent is updating their prior beliefs given new evidence in an optimal way that is Bayesian, or whether they are biased towards their own prior. In our model, biased agents form posterior beliefs that are a convex combination of their prior and the Bayesian posterior, where the more biased an ...
Yiling Chen 0001 +4 more
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Feature Coding and Graph via Transformer: Different Granularities Classification for Aircraft
AerospaceAgainst the background of the sky, imaging and perception of aircraft are crucial for various vision applications. Thanks to the ever-evolving nature of the convolutional neural network (CNN), it has become easier to distinguish and recognize different ...
Jianghao Rao +5 more
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