Sentence examples for established classifications from inspiring English sources
These previously established classifications were included in the current study.
"The term "bio-object"… refers to a socially potent biotechnological entity which generates controversy due to its potential challenging of established classifications.
Summarising his own argument, Webster states: "The term "bio-object"… refers to a socially potent biotechnological entity which generates controversy due to its potential challenging of established classifications.
Together with established classifications based on lesion depth, size and compartment status, we believe our classification will help further management of focal hand lesions in terms surgical planning and, in cases of primary malignancy, local staging and prognosis.
Based upon the use of micromorphology and a greater in-depth appreciation of the internal architecture of till, it has become apparent that previously established classifications of till are erroneous.
The authors represented here understand the contents of biobanks as bio-objects: referring to "a socially potent biotechnological entity which generates controversy due to its potential challenging of established classifications" (Webster A: Bio-objectification: definitions and tools unpublished internal document. COST Bio-objects action, unpublished).
The validity of these three novel methods of perimenopause classification were compared to three previously established classification methods.
In more detail, we have employed two established classification methods, namely Naïve Bayesian (NB) and Random Forest (RF) approaches [12]-[14] [12]-[14]
Our results show DAN2 to perform very well against the current leading solutions (kNN and SVM) using established classification metrics.
Now that this area has become well established, classification of the relevant phenomena and technologies has become necessary as well.
Finally, the optimal feature subset with 19 features was selected to obtain the highest accuracy, i.e., 94.72% using established classification model.
