نتایج جستجو برای: proper classification rate
تعداد نتایج: 1502572 فیلتر نتایج به سال:
aim : the aim of this study was to search for metabolic biomarkers of crohn’s disease (cd). background : crohn's disease (cd) is a type of inflammatory bowel disease that causing a wide variety of symptoms. cd can influence any part of the gastrointestinal tract from mouth to anus. cd is not easily diagnosed because monitoring tools are currently insufficient. thus, the discovery of proper meth...
In the agricultural sector, identifying plant diseases is crucial as they hamper plant's robustness and health, which play a vital role in productivity. Early detection allows farmers to take proper measurements save crops from complete failure. Biosensor applications production monitoring improve yield through definitive recommendations improved practices. Fluorescence-based assays, colorimetr...
We show that if a locally compact group G acts properly on a locally compact σ-compact space X, then there is a family of G-invariant proper continuous finite-valued pseudometrics which induces the topology of X. If X is, furthermore, metrizable, then G acts properly on X if and only if there exists a G-invariant proper compatible metric on X.
Accurate tumor classification is crucial to the proper treatment of cancer. To now, sparse representation (SR) has shown its great performance for tumor classification. This paper conceives a new SR-based method for tumor classification by using gene expression data. In the proposed method, we firstly use latent low-rank representation for extracting salient features and removing noise from the...
Unmanned aerial vehicles (UAVs) images have high spatial resolution. They are a valuable source of information for mapping land cover and thematic information, particularly in the identification of tree species. The aim of this study was to investigate the capability of drone images and the base object method for detecting tree species in the Hyrcanian forests. For this purpose, part of an area...
Human eye disease classification adapted by many pieces of research in the last decade due to importance organ for humans and evolution techniques. Seven external diseases plus normal classified this paper using backpropagation with linear cyclic learning rate-based parabola function. The accuracy achieved is (89.83%).  
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