Deng, W.,
Gao, Y.,
Chen, J.,
Kudreyko, A.,
Cattani, C.,
Zio, E.,
Song, W. (2023) In this paper, an adaptive remaining useful life prediction
model is proposed for electric
vehicle
Bo, C.,
Zhang, H.,
Cao, Y.,
Lu, X.,
Zhang, C.,
Li, S.,
Kong, X.,
Zhang, X.,
Bai, M.,
Tian, K.,
Saitgareeva, A.,
Lyaysan, G.,
Wang, J.,
Ning, S.,
Wang, L. (2021) of transcription factors (TFs) and the relationship among them remain unclear. A TF–miRNA–gene
network (TMGN) of MG
hybrid predictive
model, combining statistical properties and historical data training. In order
Kazantseva, Anastasiya,
Davydova, Yuliya,
Enikeeva, Renata,
Mustafin, Rustam,
Malykh, Sergey,
Lobaskova, Marina,
Kanapin, Alexander,
Prokopenko, Inga,
Khusnutdinova, Elza (2023) to address the “missing heritability” problem. We designed regression
models, which included PGS using 27
5-Oxymethyluracil Stimulate Neoangiogenesis in Postinfarction Cardiosclerosis
Model in Rabbits