نتایج جستجو برای: missing inputs

تعداد نتایج: 126858  

ژورنال: مجله دندانپزشکی 1995
اصفهانیان, وحید , سراج, بهمن , صادقیان, سعید ,

Normal 0 false false false EN-US X-NONE AR-SA 1482 patients of 3-5 years ( 56% m/44% f) were selected from Isfahan kindergartens. In 1.4% of them, numeric  dental anomaly was diagnosed of which 0.74 %  had congenital missing teeth, 0.06 % had hyperdontia and 0.6% had geminated teeth. 0.72 % of Congenital missing was seen in boys while 1.2% in girls...

2006
Marianne Regard Peter Brugger

The present thesis addressed the cortical representation of body parts in normally limbed children and adults as well as in individuals born with missing hands. With the application of behavioral, neuropsychological and neuroimaging methodologies in different populations, i.e. healthy normally limbed adults and children as well as participants with limbs missing since birth, this issue could be...

 Ambiguity in the inputs of the models is typical especially in portfolio selection problem where the true distribution of random variables is usually unknown. Here we use robust optimization approach to address the ambiguity in conditional-value-at-risk minimization model. We obtain explicit models of the robust conditional-value-at-risk minimization for polyhedral and correlated polyhedral am...

Journal: :modeling and simulation in electrical and electronics engineering 2015
abbas koochari mohsen soryani

despite recent advances in video inpainting techniques, reconstructing large missing regions of a moving subject while its scale changes remains an elusive goal. in this paper, we have introduced a scale-change invariant method for large missing regions to tackle this problem. using this framework, first the moving foreground is separated from the background and its scale is equalized. then, a ...

V Safa Y Nikian

the missing of any tooth is due to undeveloped dental lamina that possible is caused by genetic factors such as ectodermal dysplasia,local infection and systemic diseases.in some cases,the lack of teeth is so wide that causes undevelopment in all premanent teeth which is known as comlete anodontia.the lack of lateral incisors causes speech defect,difficulty in breathing,spacing in other teeth,d...

Journal: :Building Simulation Conference proceedings 2021

This study explores the applicability of a deep learning-based approach for reconstructing missing room temperature data from different domains where relatively few training samples are available. For that purpose, existing convolutional, long short-term memory (LSTM) and feed-forward autoencoders were combined with suitable domain adaptation procedure. Eventually, developed models evaluated on...

2010
Jung-Woo Kim Yakov A. Pachepsky

0022-1694/$ see front matter 2010 Elsevier B.V. A doi:10.1016/j.jhydrol.2010.09.005 ⇑ Corresponding author. Present address: Radioacti opment Division, Korea Atomic Energy Research Ins Yuseong-gu, Daejeon 305–353, Republic of Korea. Tel 42 868 8850. E-mail address: [email protected] (J.-W. Kim). Environmental models typically require a complete time series of meteorological inputs, thus recons...

In this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, Iran. After initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (GA-BP) should be able to reproduce groundwater ...

Fatemeh Jahanimoghadam, Moolok Torabi, Shima Rostami,

Congenitally missing of maxillary lateral incisors is one of the most common patterns of hypodontia. This paper presents a nine year old boy with congenital missing of lateral incisors. Familial history showed that, his mother, aunts, uncle and grandmother have also congenital absence of lateral incisors.

Journal: :CoRR 2014
Collins Leke Bhekisipho Twala Tshilidzi Marwala

This paper presents methods which are aimed at finding approximations to missing data in a dataset by using optimization algorithms to optimize the network parameters after which prediction and classification tasks can be performed. The optimization methods that are considered are genetic algorithm (GA), simulated annealing (SA), particle swarm optimization (PSO), random forest (RF) and negativ...

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