2019 International Conference on Communications, Information System and Computer Engineering (CISCE) 2019
DOI: 10.1109/cisce.2019.00047
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Counterfeit IC Detection Research Based on Wavelet Transform and SVM

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Cited by 2 publications
(2 citation statements)
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“…Ai et al [28] proposed a small object localization method based on the lateral inhibition (LI) neural biological phenomenon, discrete wavelet transform (DWT), and parameter-designed pulse-coupled neural network (PD-FC-MSPCNN) to track floating water garbage. Ma et al [29] presented a floating garbage recognition algorithm that combines U-Net and an improved YOLOv5s, providing a new effective approach for the management of floating waste on water.…”
Section: Water Surface Garbage Detectionmentioning
confidence: 99%
“…Ai et al [28] proposed a small object localization method based on the lateral inhibition (LI) neural biological phenomenon, discrete wavelet transform (DWT), and parameter-designed pulse-coupled neural network (PD-FC-MSPCNN) to track floating water garbage. Ma et al [29] presented a floating garbage recognition algorithm that combines U-Net and an improved YOLOv5s, providing a new effective approach for the management of floating waste on water.…”
Section: Water Surface Garbage Detectionmentioning
confidence: 99%
“…Identifying debris is complex, hindered by factors such as lighting, water currents, and complex backgrounds. Small-sized floating debris has limited distinguishing features, which complicates the detection process [24]. These challenges lead to suboptimal detection results from deep learning algorithms in this area.…”
Section: Introductionmentioning
confidence: 99%