نتایج جستجو برای: root detection

تعداد نتایج: 700951  

2012
Yogendra Kumar Jain

This paper reports on the empirical evaluation of five machine learning algorithm such as J48, BayesNet, OneR, NB and ZeroR using ten performance criteria: accuracy, precision, recall, F-Measure, incorrectly classified instances, kappa statistic, mean absolute error, root mean squared error, relative absolute error, root relative squared error. The aim of this paper is to find out which classif...

2007
Scott N. Johnson John W. Crawford Peter J. Gregory Dmitry V. Grinev Richard W. Mankin Gregory J. Masters Philip J. Murray Diana H. Wall Xiaoxian Zhang

1 Root-feeding insects are now considered to play a greater role in ecosystem processes than previously thought, yet little is known about their specific interactions with host plants compared with above-ground insect herbivores. Methodological difficulties associated with studying these insects in the soil, together with the lack of empirical and theoretical frameworks, have conventionally hin...

2008
Pedro Felzenszwalb David McAllester Deva Ramanan

We have developed a new system building on our work on discriminatively trained, multiscale, deformable part models [1]. As in our previous system the models are trained using a discriminative procedure that only requires bounding box labels for positive examples. Our new system uses mixture models. Each mixture component is similar to a model from [1], consisting of a coarse “root” filter and ...

2006
Mustafa USTA Hikmet Murat SİPAHİOĞLU Bülent POLAT

Two methods (DAS-ELISA and RT-PCR) were compared for the detection of Prunus necrotic ringspot virus (PNRSV) in woody host Prunus mahleb isolated from Malatya. Total RNA extractions were made from serially diluted fresh leaf tissue, root, bark and one year old green bark tissue using silica-based method. Purified total RNA extracts were used as template for cDNA synthesis by reverse transcripti...

2015
Fatemeh Ezzodini Ardakani Seyed Hossein Razavi Mehdi Tabrizizadeh

INTRODUCTION Vertical root fracture (VRF) is the longitudinal fracture of the root in endodontically treated teeth. Considering the limitations of two-dimensional radiographic images in detection of VRF and introduction of cone-beam computed tomography (CBCT), this study was designed to find the sensitivity, specificity and accuracy of CBCT and periapical (PA) radiography in detection of VRFs. ...

بابالار, مصباح, میرمعصومی, مسعود, نوروزی, رضا,

Hairy root induction in plants is the result of the insertion of T-DNA from Agrobacterium rhizogenes into the plant genome. The present study was conducted to investigate the effect of bacterium strain and plant species type on hairy root induction in two endemic (Salvia eremophila and S. reuterana) and five non-endemic (S. macrosiphon, S. multicaulis, S. nemorosa, S. verticellata and S. viriga...

2011
Henry Herrera Helen Herrera Léa A B Silva Léa Assed Bezerra da Silva

Case description: A 20-year-old male patient presented for routine dental treatment. By radiographic examination we noted an extensive radioluscent area, laterally to the permanent maxillary right lateral incisor, with possibility of communication with the lateral periodontium, suggestive of a chronic apical periodontitis. Due to external root resorption detection, we used a calcium hydroxide r...

2014
Junima Rajkarnikar

Gingival recession is the most common mucogingival deformity and should be treated at its earliest detection. Exposed root surfaces are more likely to develop root sensitivity and root caries and pose esthetic problems. Among various procedures, laterally positioned pedicle graft (LPG) is widely used successfully to cover Miller’s class-I and Class-II recession defects. The main advantages of t...

2005
James T. Blodgett John E. Lundquist

JUSTIFICATION: Armillaria root disease is associated with various forest tree declines in the Rocky Mountain Region and has been suggested to play a role in tree mortality that is usually attributed only to bark beetles. Armillaria has been documented as a major forest pest in the states surrounding Wyoming, yet an evaluation of the significance of this root pathogen in Wyoming is lacking. Give...

In this article a new method is introduced for distinguishing roots and background based on their digital curvelet transform in minirhizotron images. In the proposed method, the nonlinear mapping is applied on sub-band curvelet components followed by boundary detection using energy optimization concept. The curvelet transform has the excellent capability in detecting roots with different orient...

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