Sentence examples for Uncertain feasibility from inspiring English sources

In order to meet targets set at last year's Paris climate accord to avoid runaway climate change, "massive CO2 extraction" costing an eye-watering $104tn to $570tn will be required over the coming century with "large risks and uncertain feasibility" as to its success, the paper states.

Further, given the uncertain feasibility and potential adverse consequences, requiring the movement of 232 patients for CABG or 805 patients for PCI between hospitals to avert a single death may not be an effective policy.

Two hundred ninety of 308 standards (94.2%) were rated as feasible; 18 (5.8%) were rated as uncertain in feasibility.

The robust optimization formulation introduces a small number of auxiliary variables and additional constraints into the original MILP problem, generating a deterministic robust counterpart problem which provides the optimal/feasible solution given the (relative) magnitude of the uncertain data, a feasibility tolerance, and a reliability level.

At the current stage, it is still uncertain of their feasibility under these circumstances.

Before finalization of the 29 core indicators, the experts were still uncertain about the feasibility and applicability of eight indicators that had not been evaluated in the ECOEHIS project.

21 However, the uncertain cost-effectiveness and feasibility of implementing national lung cancer screening programmes means that other approaches to timely diagnosis of lung cancer are still needed.

Finally, the robust optimization of a press slider with uncertain material properties demonstrates the feasibility and validity of the proposed method in engineering.

As the feasibility was still uncertain at the beginning, a test injection was discussed with the Indonesian side and carried out in 2009.

And the methods section extended Kalman filtering algorithm (EKF) to estimate the SOC of lithium battery caused by uncertain noise and verify the feasibility of the method.

Au et al. [20] proposed a robust design method based on the convex model and achieved the robustness of the objective function by minimizing the worst value of unsatisfactory degree functions of the uncertain parameters and ensured the feasibility robustness by a sub-optimization conducting the worst-case analysis.