aknowledge (see field I in Table 1; information function). Patent[translate] aand identifying the most promising technologies are important for[translate] aresearch shows that patent data are a good early warning indicator[translate]
Table 1. Number of cases in each early warning indicator (EWI) detection classification EWI detection classificationNo. of cases based on varianceNo. of cases based on autocorrelation True positive 16 19 False positive 90 72 False negative 64 61 Coherence between EWIs and turning points: EWI de...
Predicting high school graduation and college enrollment: Comparing early warning indicator data and teacher intuition. Journal of Education for Students Placed at Risk (JESPAR), 18(3-4), 233-262.J. Soland. Predicting high school graduation and college enrollment: Comparing early warning indicator ...
SME segments than large corporates for a good reason. In SME portfolios, these models have found their use in credit scoring, early-warning-signal development, and credit pricing (Exhibit 2). In corporate asset classes, however, their usage is largel...
While RNNs yield the greatest performance for early prediction of septic shock, GLM is the most interpretable of the three models built, and thus we rely upon results obtained using GLM for interpretation of the model. The pre-shock state was defined using a data-driven machine learning approac...
1, DEDI is based on the balance between the atmospheric evaporation demand and the actual land water evaporated from vegetation, soil, and water surfaces and transpired from vegetation into the atmosphere, driven by solar radiation energy. As such, DEDI involves water and energy cycle processes ...
As we explored in many of our examples, the very worst indicator of a data quality issue is a lagging indicator—say, from a consumer telling you something is broken. So much of what we do in data engineering is build trust along with pipelines. ...
IMINT is obtained by sensors working in several bandwidths which are able to produce a view of the scenario or of the specific target: electro/optical sensors, infrared, radar (e.g., Synthetic Aperture Radar (SAR) and Inverse SAR (ISAR), and Moving Target Indicator (MTI)), laser, laser...
Seasonal agricultural drought monitoring systems, which rely on satellite remote sensing and land surface models (LSMs), are important for disaster risk reduction and famine early warning. These systems require the best available weather inputs, as well
Fig. 3: The dynamic frailty indicator (dFI) as a function of age. The dependence of the dFI from age in the validation datasets from the experiments: MA0071 (males, orange diamonds), MA0071 (females, blue circles), and MA0072 (green triangles). The black dashed line is the exponential...