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The white paper introduces the main relevant mechanisms in Artificial Intelligence and Machine Learning currently investigated and exploited for 5G and beyond 5G networks. ... Hybrid solutions are presented such as combined analytical and machine learning modelling as well as expert knowledge aided machine learning. ... Analytics or ML models can also be used for optimising slices at runtime. ...doi:10.5281/zenodo.4299895 fatcat:ngzbopfm6bb43lnrmep6nz5icm
system level model for proactive handovers and resource allocation, model-driven deep learning-based channel estimation and feedbacks as well as strategies for deployment of machine learning based solutions ... This deliverable gives the results of the ARIADNE project's Task 4.2: Machine Learning based network intelligence. ... approximate message passing (MMV-LAMP) network with the devised redundant dictionary can jointly recover multiple subcarriers' channels with significantly enhanced performance. ...doi:10.5281/zenodo.5718378 fatcat:l3rkacgotzazha564nqm6wchiy
Mesenchymal stem cells (MSCs) regulate lung inflammation and enhance bacterial clearance and survival in preclinical models of pneumonia and sepsis, making them an attractive novel treatment for bacterial ... This suggests that the MSC protective effect for this lung p [...] ... Bacterial counts are expressed as Colony Forming Unit (CFU) per mg or ml of tissue or BAL. ...doi:10.25560/91336 fatcat:ori5bsu3dbhcbfiyjdyt5c7px4
We studied the allelopathic effect of P. riparium earlier, and found that 7,5% shoot watery extract reduced shoot length of maize seedlings with 88%, while root length with 30%. ... Danger of this weed can explain with the dormancy of its seeds and the competitive capacity of the plant. ... FOX, J., 2015: Polycor: Computes polychoric and polyserial correlations by quick "two-step" methods or ML, optionally with standard errors; tetrachoric and biserial correlations are special cases. http ...doi:10.5073/jka.2018.458.000 fatcat:appgmho7hbfipnyehv6mqmgwkq