A NOVEL FEATURE EXTRACTION METHOD BASED ON LEGENDRE MULTI-WAVELET TRANSFORM AND AUTO-ENCODER FOR STEEL SURFACE DEFECT CLASSIFICATION

A Novel Feature Extraction Method Based on Legendre Multi-Wavelet Transform and Auto-Encoder for Steel Surface Defect Classification

Effective steel surface defect classification with low computational cost is essential for online quality inspection.The challenge of this task is large intra-class differences and unclear inter-class distances shown in various surface defects.This paper proposes a novel feature extraction method based on Legendre multi-wavelet transform and Auto-E

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K+ channels and cell cycle progression in tumor cells

K+ ions play a major role in many cellular processes.The deregulation of K+ signaling is associated with a variety of diseases such as hypertension, atherosclerosis, or diabetes.K+ ions are important for setting Hyer Accessories the membrane potential, the driving force for Ca2+ influx, and regulate volume of growing cells.Moreover, it is increasin

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