Sentence examples for methods and human from inspiring English sources

Table 3 reports the performance values of the machine learning methods and human doctors.

Table 3 Performance values of the machine learning methods and human doctors For each classical method, the results of each feature set are listed.

All aspects of the project needed to be repeated, such as the API manufacturing process development, formulation development, stability studies, analytical methods, and human bioequivalence testing.

Using insights from participatory planning methods and human rights frameworks, this article outlines a set of alternative and collaborative guidelines to improve Indigenous involvement in water planning and to promote sustainable and just water allocations.

The present study shows that the performance of CNN is not significantly different from the best classical methods and human doctors for classifying mediastinal lymph node metastasis of NSCLC from PET/CT images.

Moreover, we observed that computational methods and human experts could produce highly similar clusters at high precision values, while computational methods also suggest to split some large superfamilies into smaller clusters.

Figures 10 and 11 show the performance of the proposed method and human observer in counting the number of parasites in the 40 images, while Figures 12 and 13 show their performance in nucleus counting.

At present, under the limitation of method and human samples, it is reasonable to assume that the CI is one of the best possible and practically feasible indices for neuronal appendages of small number of neurons such as ON.

Each of the projects listed by the NNI is grouped under one of five research categories: instrumentation, metrology, and analytical methods; nanomaterials and human health; nanomaterials and the environment; human and environmental exposure assessment; and risk management methods.

Fig. 2 Comparison between different machine learning methods and the human doctors, based on mean AUCs and mean ACCs of the 10 times 10-fold cross-validation.

Compared to 12 state-of-the-art methods and the human fixation data, the experimental results show that our method outperforms all other methods in terms of receiver operator characteristic (ROC) area metrics for the human fixation prediction task.