Essentially, 5S is an organizational methodology that uses visual labels color-coded based on functionalabels color-codedpaces and increase safety, identifying potential hazards and procedural information.
Tackling the problem of ineffective investor presentations, she developed a methodology that uses bottom-up-analytics, supported by visual storytelling to create presentations that excite and engage audiences.
Recently, however, an innovative sampling methodology that uses the empirical statistical leverage scores of the data matrix as a nonuniform importance sampling distribution has been proposed.
In this work, a model-based optimization methodology that uses experimental feedback is applied to a fed-batch bioreactor.
The paper presents a methodology that uses factoring and synthesis to process knowledge involved in forms for designing FBDSS.
The VRFT is a data-driven methodology that uses only data to find the parameters of the controller.
This work shows a systematic methodology that uses a combination of experiment and analysis to extract the material response at much larger strains.
We propose a new methodology that uses atomistic simulation and only carbon pore size distribution as the input to predict bed deactivation caused by natural-gas alkanes.
This study introduces a neurocontrol methodology that uses partial system identification and symbiotic memetic neuro-evolution (SMNE) for the development of neurocontrollers.
DFM is a spatial state estimation and system identification methodology that uses three sources of information: measured data, physical laws, and statistical models for uncertainty in spatial heterogeneities.
We have developed a computational methodology that uses a quantitative model of the transcriptional regulatory network (TRN) of Arabidopsis thaliana to explore the landscape of all possible re-engineered TRNs whose transcriptomic profiles mimic those observed in infected plants.
