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Data collection methods are essential for conducting academic research and producing reliable and valid evidence. However, there are many different types of data collection methods, each with its ...
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics - IEEE Xplore
Deep learning for electroencephalogram-based classification is confronted with data scarcity, due to the time-consuming and expensive data collection procedure. Data augmentation has been shown as an ...
2. Methods 2.1. Study participants, sample collection, and processing. In this study, we collected 3 NPS samples from 76 healthy adults without any respiratory symptoms over the course of 7 days. A ...
Inappropriate sg for urine during sample collection procedure is faced by the collection of multiple samples until the Code requirement of the sg is met. Even if, the current specification of the ...
If the vendor cannot find a correct phone number for the individual, and the sponsor has agreed to both mail and phone methods of data collection, mail the questionnaire. The sampled person has moved ...
In this paper, we describe a systematic procedure for the development of a capillary electrophoresis method, based on the effect of varying pH on the ion effective mobility, to optimize the BGE ...
On April 6, India’s Parliament passed the Criminal Procedure (Identification) Bill, 2022, to replace the Identification of Prisoners Act of 1920. The new act gives police and investigating ...
Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics - IEEE Xplore
Abstract: Deep learning for electroencephalogram-based classification is confronted with data scarcity, due to the time-consuming and expensive data collection procedure. Data augmentation has been ...
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