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Tian, A.
Yang, Z.
Yang, The influence of Eu cations on improving the magnetic properties and promoting the Ce solubility in the Eu, Ce-substituted garnet synthesized by the solid state route, Ceram.
Yang, The role of Dy incorporation in the magnetic behavior and structural characterization of synthetic Ce, Bi-substituted yttrium iron garnet, Mater.
Yang, X.

Yang, B.
Tian, Q.

Tian, Y.
Yang, W.

[5] G.X.Chen, G.J.Ji, A.Z.Lei, J.T.Tian.
[7] Wen Yang, B.J.Chen, X.Q.

Tian, Simple synthesis of molybdenum disulfide/reduced graphene oxide composite hollow microspheres as supercapacitor electrode material, Materials. 9 (2016) 783
Yang, R.
Yang, Performance enhancement of passively Q-switch Nd: YO4 laser using graphene-molybdenum disulphide heterojunction as a saturable absorber, Opt.
Yang, F.
Yang, J.

Tian, and R.G.
Yang, S.H.
Yang, and L.
Yang, and L.
Yang, Aregenerative Anemia, second ed., Tianjin Science and Techonology Translation Press Company, Tianjin, 2000.

Tian et. al. proposed a hierarchical classifier based on SVM and used this classifier on a 5-class Sleep-EDF database [12]. 91.4% accuracy was reached in this study.
In their study, Yang et. al. used a single-channel EEG-based automatic sleep stage classification model, called 1D-CNN-HMM [33].
Comparison of the results with the literature The study Used Dataset Obtained Accuracy (%) Problem type Hassan et.al. [3] Physionet (Sleep-EDF) 91.5 5-class Hassan et. al. [4] Physionet (Sleep-EDF) 90.11 5-class Hassan et. al. [5] Physionet (Sleep-EDF), Dreams 93.69 5-class Jiang et. al. [6] Physionet (Sleep-EDF) 92.00 5-class Farag et. al. [7] Real Data (12 subjects) 89.81 3-class Mohammadi et. al. [8] Real Data (8 subjects) 92.00 3-class Mohammadi et. al. [9] Real Data (36 subjects) 81.67 3-class Chaozhen et.al. [10] MIT data 89.9 5-class Peker [11] Physionet (Sleep-EDF) 91.57 5-class Tian et. al. [12] Physionet (Sleep-EDF) 91.40 5-class Zhang et.al. [14] Real Data (3 subjects) 82.18 5-class Zhang et.al. [15] Physionet (Sleep-EDF) 82.18 5-class Moeynoi et. al. [16] Physionet (Sleep-EDF) 95.42 5-class Chiriskos et. al. [17] Real data (23 subjects) 92.93 5-class Zhang et.al. [18] Physionet (Sleep-EDF) 89.37 5-class Gia et. al. [19] MIT/BIH 93.08 5-class Sausa et. al. [20] Real data (14
Tian, J.
Yang, X.

Tian, T.
Hu, N.Yin, L.Yang, L.
Yang, W.Fanqi, Z.
Yang, SiO@CuS nanotubes for photo/chemodynamic and photo-thermal dual-mode synergistic therapy under 808 nm laser irradiation, Journal of materials chemistry.

Yang, J.
Yang, M.Yan, B,.Xie, J.
Yang, K.
Yang, D.
Tian and J.

Yang, M.
Yang, S.
Tian, Y.
Yang, and C.
Yang : ACTA Petroleisinica (Petroleum Processing Section), Vol.