Sentence examples for challenging to benchmark from inspiring English sources

Genome-scale "-omics" measurements are challenging to benchmark due to the enormous variety of unique biological molecules involved.

This triggers an 'internal' benchmarking; the radiologists are challenged to optimise the radiation dose on the system with the highest dose until it approaches the dose of the other system, taking into account possible differences in technologies.

3. Bauer MR, et al. Evaluation and optimization of virtual screening workflows with DEKOIS 2.0 a public library of challenging docking benchmark sets.

He noted that two decades ago in Ireland's last tortuous vote challenging a benchmark Catholic teaching, voters barely approved divorce — but only because heavy rain deterred voters in the then-conservative west.

Physico-chemical similarity should be maximized between decoys and actives in order to yield challenging sets for benchmarking, while exact mimicking of potentially active substructures should be avoided to omit latent actives in the decoy set (LADS).

These challenges can also be used to benchmark with some high-income countries (e.g. the United States) to identify any gaps and priorities for improving disaster health management strategies.

The findings are as follows: (1) open issues and challenges to evaluation and benchmarking are emphasized; and (2) decision making using multiple criteria such as reliability, time complexity, and error rate within a dataset is used for evaluating and benchmarking real-time skin detectors to come up with solutions for future directions.

The LFR benchmark poses a far harder challenge to algorithms than the benchmark by Girvan and Newman, which is regularly used in the literature, and is more suitable to spot their limits.

The conducted experiments on challenging benchmark data sets validate the proposed model and the classification approach.

We demonstrate the code on a wide variety of challenging benchmark problems in (non -relativistic (magnon -relativisticcs.

Extensive experiments on challenging benchmark dataset validate that our model can significantly improve the performance of blur detection.