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This approach estimates population loss in one step.
This approach estimates the state-dependent weight vectors from the state-independent GMM and an HMM-based frame alignment.
This approach estimates the number and key dates required for wetland management (e.g. restoration) and biodiversity studies using remote sensing data.
This approach estimates an effective ground thermal conductivity representing an average of the thermal conductivity of the different layers crossed by perforation.
This approach estimates a mix of two effects: The effect on the hiring decision of a firm and the effect on labour market outcomes once the hiring has taken place.
Unlike PTF methods, this approach estimates the G-A parameters directly from infiltration curves obtained from rainfall simulation experiments so that it can be used to determine site-specific parameters.
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This approach estimated the optimal number of genetic clusters (K) and calculated the membership proportion of cultivars to them.
This approach estimate the spatial correlation of the sensor data and optimises the transmissions based on the spatial relationship.
In this approach, estimated reverberation and reverberant speech are directly used as inputs of the reverberation-aware (DAE) as shown in Fig. 4. The one-step environment-dependent DAE can estimate and suppress the environment-dependent reverberation automatically.
This approach estimated a pooled IRR of 0.198.
This approach estimated likely response profiles (bias) and perceptual sensitivity (discriminability).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com