HF RL Explorer

nayana-c1.867c992ae9100904cc61c84591adf0f8f863e0387e30f0d0dbc86640e9f50a1a.en.train.380075

nayana-c1.867c992ae9100904cc61c84591adf0f8f863e0387e30f0d0dbc86640e9f50a1a.en.train.380075: train task in FineEnvs/nayana-ocr-env, an RL environment on the Hugging Face Hub. Which of the following studies involves the use of EEG signals for sleep stage classification? A. Tuncer SA, Alkan A (2018)…

The task

Which of the following studies involves the use of EEG signals for sleep stage classification? A. Tuncer SA, Alkan A (2018) A decision support system for detection of the renal cell cancer in the kidney. B. Tripathy R, Acharya UR. (2018) Use of features from RR-time series and EEG signals for automated classification of sleep stages in deep neural network framework. C. Zhang Z (2020) Ding S. Sun Y. A support vector regression model hybridized with chaotic krill herd algorithm and empirical mode decomposition for regression task. D. Zilberman Y, Sonkusale SR (2015) Microfluidic optoelectronic sensor for salivary diagnostics of stomach cancer. Return only the single uppercase letter of the correct option.

Task details

language
en
family
mcq_vqa
mime
image/jpeg
media ready
False