نتایج جستجو برای: anomaly separation

تعداد نتایج: 161992  

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...

2015
N. R. Maksim J. Biddle

Introduction: Understanding the lunar gravity field can provide fundamental information about lunar internal structure, bulk composition, heat flow, and the duration of volcanism and tectonism. We aim to utilize the gravity field from the Gravity Recovery and Interior Laboratory (GRAIL) mission to reconstruct the history of lunar volcanic history. The high-resolution GRAIL gravity maps show tha...

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...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه رازی - دانشکده علوم 1392

a novel acrylic acid-functionalized fe3o4 magnetic nanoparticle with a core-shell structure was developed for utilization as a heterogeneous organosuperacid in chemical transformations. the structural, surface, and magnetic characteristics of the nanosized catalyst were investigated by various techniques such as transmission electron microscopy (tem), thermogravimetric analysis (tga), and ft-ir...

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...

2009
Dmitri E. Kharzeev D. E. Kharzeev

Very stringent experimental bounds exist on the amount of P and CP violation in strong interactions. Nevertheless, the presence of non-Abelian topological solutions and the axial anomaly make the issue of CP invariance in QCD non-trivial (”the strong CP problem”). Even in the absence of a global P and CP violation the fluctuations of topological charge in the QCD vacuum are expected to play an ...

Ansari, Mostafa, Etemadi, Abbas, Hafezi Moghaddas, Hamid, Heydarian Shahri, Mohammad reza,

Sangan iron mine with skarn type genesis is located in NE Iran (Khorasan Razavi Province), in the Central Iran zone and NE of Lut Block sub-zone. The Senjedak-III prospect area is one of the six eastern anomalies of Sangan iron mine that encompasses eastern terminal of Khaf- Kashmar- Bardaskan volcano-plutonic belt. The geology of this area consists of a series of igneous (dykes and intrusive b...

Anomaly separation using stream sediment geochemical data has an essential role in regional exploration. Many different techniques have been proposed to distinguish anomalous from study area. In this research, a continuous restricted Boltzmann machine (CRBM), which is a generative stochastic artificial neural network, was used to recognize the mineral potential area in Korit 1:100000 sheet, loc...

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