Development of machine learning models for early prediction of small for-gestational-age births using maternal sociodemographic and obstetric data. [PDF]
BMC Pregnancy ChildbirthBütün Z +4 more
europepmc +1 more source
Modeling and inference of mixed dynamics and detection of causal emergent features. [PDF]
Sci RepCasey W +6 more
europepmc +1 more source
Modeling children's weight growth trajectories: sex, country, and rural-urban differences in four low- and middle-income countries. [PDF]
BMC PediatrArgawu AS, Muniswamy B, Punyavathi B.
europepmc +1 more source
Modelling growth patterns of three guinea fowl varieties using non-linear models. [PDF]
Poult SciFaraji-Arough H, Dashab GR, Rokouei M.
europepmc +1 more source
Modelling and Simulation of Collective Cell Migration with Non-Local Interactions on Time-Dependent Spatial Domains. [PDF]
Bull Math BiolGerisch A.
europepmc +1 more source
Growth analysis of cotton using UAS derived multi temporal canopy features. [PDF]
Sci RepPalla S +10 more
europepmc +1 more source
Growth of <i>Chlorella vulgaris</i> Under Atmospheric CO<sub>2</sub> in Lab-Scale Photobioreactors: Effects of Aeration Rate and Growth Model Comparison. [PDF]
Bioengineering (Basel)Pavlov VA +3 more
europepmc +1 more source
Prevalence and associated factors of malnutrition among indigenous infants in Sepang and Kuala Langat: A cross-sectional study. [PDF]
Malays Fam PhysicianLow SW, Cheong AT, Ismail IZ.
europepmc +1 more source
Related searches:
The chapter introduces composite growth model based on the logistics growth. Developed Multi-logistic model is suitable for real market situations modeling on the whole PLC. However, such composite model needs determination of large parameter set. Therefore, a large set of known data points are needed, which limits its application for the forecasting ...
Mladen Sokele, Nick Sofroniou
openaire +2 more sources