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A two-phase framework for production path construction followed by optimal path selection was developed.
Chemically active saturated clays are considered in a two-phase framework.
We validate the TRASMIL framework in terms of 16 different algorithms built on the three-phase framework.
The proposed approach uses a two-phase framework to determine the priority of CRs and evaluate the priority of ECs.
At the first phase, framework selects potential stormwater harvesting (SWH) sites using spatial characteristics in a GIS environment.
This paper proposes a two-phase framework to obtain a near-optimal solution of multi-target Lambert rendezvous problem.
A strategy and life-cycle phase framework is developed to enhance the application of DFX techniques by practitioners and to enable DFX strategy research.
This view of the evaluation process as a non-linear progression of engagement between evaluator and individual stakeholders challenged the study's initial phase framework.
The two-phase framework can be applied in missing data problems, sampling at multiple occasions, and situations without a good frame.
Here, we evaluate cerebrospinal fluid (CSF) β-amyloid42 (Aβ42), total tau, and phosphorylated tau in the light of a 5-phase framework for biomarker development.
In this paper, an accurate and flexible three-phase framework TRASMIL is proposed for local anomaly detection based on TRAjectory Segmentation and Multi-Instance Learning.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com