نتایج جستجو برای: anomaly

تعداد نتایج: 39153  

Journal: :journal of current ophthalmology 0
محمدعلی زارع mohammad-ali zare محمدطاهر رجبی mohammad-taher rajabi

purpose: congenital corneal leukoma is rare with an incidence of 6/100000 and is one of the most important causes of amblyopia. here we report an unusual case of bilateral congenital elevated corneal leukoma. methods: we encountered a 13-day-old full term male newborn. ocular examination of both eyes revealed central elevated corneal leukomas with a narrow normal lucid interval to limbus. corne...

Journal: :medical journal of islamic republic of iran 0
s ghazizadeh from the department of nephrology, imam khomeini hospital, tehran university of medical sciences, tehran, i.r. iran. m lesan pezeshki b einollahi mr khatami

a retrospective study was conducted on 50 pregnancies in 41 kidney transplant recipients. 37 pregnancies were successful (74%), while in 13 cases the pregnancy was lost (7 abortions,s intra-uterine fetal deaths and one therapeutic termination). the pregnancy course was uneventful in 38 cases (76%) but in 12 there were complications, such as hypertension or slight rise in serum creatinine. pregn...

Journal: :journal of ai and data mining 2015
mohsen zare-baghbidi saeid homayouni kamal jamshidi a. r. naghsh-nilchi

anomaly detection (ad) has recently become an important application of hyperspectral images analysis. the goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. one way to improve the performance and runtime of these algorithms is to use dimensionality reduction (dr) techniques. this paper evaluates the effect of thr...

Journal: :EURASIP J. Wireless Comm. and Networking 2013
Wei Wang Dunqiang Lu Xin Zhou Baoju Zhang Jiasong Mu

Anomaly detection in big data is a key problem in the big data analytics domain. In this paper, the definitions of anomaly detection and big data were presented. Due to the sampling and storage burden and the inadequacy of privacy protection of anomaly detection based on uncompressed data, compressive sensing theory was introduced and used in the anomaly detection algorithm. The anomaly detecti...

Journal: :Proceedings of the ... International Florida AI Research Society Conference. Florida AI Research Symposium 2008
Michal Valko Milos Hauskrecht

Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly detection to the problem of identifying anomalous patterns on a subset of attributes in the data. The anomaly always depends (is conditioned) on the value of remaining attributes. The work presented in this paper focuses...

2017
Svetlana V. Glinianaia Peter W. G. Tennant Judith Rankin

BACKGROUND Recurrence risks for familial congenital anomalies in successive pregnancies are known, but this information for major structural anomalies is lacking. We estimated the absolute and relative risks of recurrent congenital anomaly in the second pregnancy for women with a history of a congenital anomaly in the first pregnancy, for all major anomaly groups and subtypes. METHODS Populat...

2010
L. Al-Bassam

Pelger-Huet (P-H) anomaly is a benign congenital anomaly of leukocytes, characterized by nuclear hyposegmentation of granulocytes. Patients with heterozygous form of P-H anomaly are not immunodeficient and not predisposed to infection. In this study, P-H anomaly has been detected during a routine blood examination conducted on a clinically normal five years old male Basenji dog. Nuclear hyposeg...

2017
A. Siva Prasad G. Ramakrishna

Due to the rapid growth of high speed network, the risk of credit-card attacks on the complex networks are also increases accordingly. Anomaly discovery from the database is a process of filtering uncertain features, so that it can be used wide variety of applications. Since the online distributed data is the communication between the remote client and the centralized server, it is difficult to...

Journal: :Appl. Soft Comput. 2010
Xin Xu

Anomaly detection is an important problem that has been popularly researched within diverse research areas and application domains. One of the open problems in anomaly detection is the modeling and prediction of complex sequential data, which consist of a series of temporally related behavior patterns. In this paper, a novel sequential anomaly detection method based on temporal-difference (TD) ...

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