IDENTIFICATION OF MULTI-CLASS DRUGS BASED ON NEAR INFRARED SPECTROSCOPY AND BIDIRECTIONAL GENERATIVE ADVERSARIAL NETWORKS

Identification of Multi-Class Drugs Based on Near Infrared Spectroscopy and Bidirectional Generative Adversarial Networks

Drug detection and identification technology are of great significance in drug supervision and management.To determine the exact source of drugs, it is often necessary to directly identify multiple varieties of drugs produced by multiple manufacturers.Near-infrared spectroscopy (NIR) combined with chemometrics is generally used in these cases.Howev

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Circulant Singular Spectrum Analysis and Discrete Wavelet Transform for Automated Removal of EOG Artifacts from EEG Signals

Background: Portable electroencephalogram (EEG) systems are often used in health care applications to record brain signals because their ease Philips HID-PV /S of use.An electrooculogram (EOG) is a common, low frequency, high amplitude artifact of the eye blink signal that might confuse disease diagnosis.As a result, artifact removal approaches in

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