نتایج جستجو برای: iranjel classification
تعداد نتایج: 492387 فیلتر نتایج به سال:
in the present study, classification trees (cts-j48 algorithm) were used to study the occurrence of roach in rivers in flanders (belgium). the presence/absence of roach was modelled based on a set of river characteristics. the predictive performance of the cts models was assessed based on the percentage of correctly classified instances (cci) and cohen's kappa statistics. to find the best model...
the present survey was carried out in oak (quercus brantii lindl.) woodlands of arghvan valley protected area, in ilam province, western iran. the main aim of this study was to survey the understory vegetation of oak in different classes of altitude (1400-1600, 1600-1800 and >1800 m) in the southern aspects, and their relationship with physical and chemical properties of soil. four transects, w...
background: core needle biopsy (cnb) with histological findings is regarded as one of the most important diagnostic measures that make preoperative assessment and planning for appropriate treatment possible. the aim of this study was to determine the sensitivity and specificity of core biopsy results in our patients with benign and malignant breast lumps, especially for borderline breast lesion...
context triple negative breast cancer (tnbc) is a heterogeneous group of diseases that is negative for esterogen receptor (er) progesteron receptor (pr) and human epidermal growth factor receptor 2 (her2). this type of breast cancer is typically high-grade carcinomas, although low-grade tumors occur. the aim of this review is to focus on molecular classification and features, prognostic markers...
the main problem associated with the traditional approach to image classification for the mapping of hydrothermal alteration is that materials not associated with hydrothermal alteration may be erroneously classified as hydrothermally altered due to the similar spectral properties of altered and unaltered minerals. the major objective of this paper is to investigate the potential of a neuro-fuz...
Abstract: In disease gene identification and classification, users are only interested in classifying one specific class, disease genes, without considering other classes (non-disease genes). This situation is referred to as one-class classification. Existing machine learning-based methods typically use known disease gene as positive training set and unknown genes as negative training set to bu...
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