نتایج جستجو برای: 873 and 885 accuracy classification

تعداد نتایج: 16892018  

Journal: :journal of medical signals and sensors 0
fatemeh ghofrani mohammad sadegh helfroush mahmoud rashidpour kamran kazemi

in this paper a novel fuzzy scheme for medical x-ray image classification is presented. in this method, any image is partitioned in to 25 overlapping subimages and then shape-texture features are extracted from shape and directional information extracted from any subimage. in the classification stage, we apply a fuzzy membership to any subimage with respect to euclidean distance between feature...

Journal: :caspian journal of environmental sciences 2007
y. zhao

the successfully breeding of the hybrids 873?874 had settled the problem that the yield was not uniform to the silk quality in silkworm varieties. in this paper, we illuminated the key technology, principle, hints and methods for selection in breeding spring-and-autumn rearing silkworm varieties were analyzed using the procedure of breeding the hybrid of 873?874 as example.

ژورنال: پیاورد سلامت 2021
Sarhadi, Mona, Shayegan, Mohammad Amin,

Background and Aim: For effective treatment of Alzheimer's disease (AD), it is important to accurately diagnosis of AD and its earlier stage, Mild Cognitive Impairment (MCI). One of the most important approaches of early detection of AD is to measure atrophy, which uses various kinds of brain scans, such as MRI. The main objective of the current research was to provide a computerized diagnostic...

Journal: :journal of rangeland science 2013
moslem hadidi ali ariapour marzban faramarzi

the major aim of processing satellite images is to prepare topical and effectivemaps. the selection of appropriate classification methods plays an important role. amongvarious methods existing for image classification, artificial neural network method is ofhigh accuracy. in present study, tm images of 1987, and etm+ images of 2000 and 2006were analyzed using artificial fuzzy artmap neural netwo...

The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...

2014
Marian George Christian Floerkemeier

Large-scale instance-level image retrieval aims at retrieving specific instances of objects or scenes. Simultaneously retrieving multiple objects in a test image adds to the difficulty of the problem, especially if the objects are visually similar. This paper presents an efficient approach for per-exemplar multi-label image classification, which targets the recognition and localization of produ...

2016
Emma Raitoharju Ilkka Seppälä Leo-Pekka Lyytikäinen Jorma Viikari Mika Ala-Korpela Pasi Soininen Antti J. Kangas Melanie Waldenberger Norman Klopp Thomas Illig Jaana Leiviskä Britt-Marie Loo Niku Oksala Mika Kähönen Nina Hutri-Kähönen Reijo Laaksonen Olli Raitakari Terho Lehtimäki

MicroRNAs are involved in disease development and may be utilized as biomarkers. We investigated the association of blood miRNA levels and a) fatty liver (FL), b) lipoprotein and lipid pathways involved in liver lipid accumulation and c) levels of predicted mRNA targets in general population based cohort. Blood microRNA profiling (TaqMan OpenArray), genome-wide gene expression arrays and nuclea...

Journal: :caspian journal of environmental sciences 2011
o. rafieyan al. et

this study is a contribution to assess the high resolution digital aerial imagery for semi-automatic analysis of tree species identification. to maximize the benefit of such data, the object-based classification was conducted in a mixed forest plantation. two subsets of an ultracam d image were geometrically corrected using aero-triangulation method. some appropriate transformations were perfor...

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