Results 231 to 240 of about 12,438,139 (288)

A Model-based RCM Analysis Method

2020 IEEE 20th International Conference on Software Quality, Reliability and Security Companion (QRS-C), 2020
The reliability-centered maintenance (RCM) is one of the most advanced maintenance plan generating technologies for equipments. At present, the key technologies such as FMEA and FMECA supporting the RCM analysis remains in the manual stage in some enterprises. The disadvantages are time-consuming, labour-intensive and error-prone.
Zhibao Mian, Shuli Jia, Xiaodong Shi, Cairong Tang, Junjie Chen, Yaqing Gao   +5 more
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Model-Based Method for Projective Clustering

IEEE Transactions on Knowledge and Data Engineering, 2012
Clustering high-dimensional data is a major challenge due to the curse of dimensionality. To solve this problem, projective clustering has been defined as an extension to traditional clustering that attempts to find projected clusters in subsets of the dimensions of a data space.
Lifei Chen, Qingshan Jiang, Shengrui Wang   +2 more
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A model based contour searching method

Proceedings IEEE International Symposium on Bio-Informatics and Biomedical Engineering, 2002
A two-step model based approach to a contour extraction problem is developed to provide a solution to more challenging contour extraction problems of biomedical images. A biomedical contour image is initially processed by a deformable contour method to obtain a first order approximation of the contour. The two-step model includes a linked contour model
Yingjie Tang, Lei He 0007, Xun Wang 0008, William G. Wee   +3 more
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Model‐Based Methods for Linkage Analysis

2008
The logarithm of an odds ratio (LOD) score method originated in a seminal article by Newton Morton in 1955. The method is broadly concerned with issues of power and the posterior probability of linkage, ensuring that a reported linkage has a high probability of being a true linkage.
John P, Rice, Nancy L, Saccone, Jonathan, Corbett   +2 more
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Towards Model-based Methods for Developing Model-based Systems

International Journal of General Systems, 2004
Model-based reasoning (MBR) is a means of reasoning about models of all kinds, as appropriate to the task at hand. This includes adaptation of models in response to changes in a problem-solving context or task goals. Thus, MBR exemplifies the characteristics of a smart adaptive system.
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A model-based method for object recognition

Proceedings., IEEE International Conference on Robotics and Automation, 2002
A method is presented for using the high-level descriptions of objects (i.e. their models) to recognize them in an image. A complex object is viewed as a congregation of a set of component parts with simple shapes. The model of an object, therefore, describes the shapes of its component parts and states the geometrical relationships among those parts ...
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A method of modelling based on morphology

1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335), 2002
A new kind of method of modelling based on morphology is proposed. Theories of morphologic operators, algorithms and their proof are provided. Some examples of metamorphosis, rounding facility, creation of new style of fonts and sweep surface modelling are given to illustrate the method.
null Liu Wenyu, null Wang Fei, null Zhu Guangxi   +2 more
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A probabilistic model-based method for diagnosis

Artificial Intelligence in Engineering, 1991
Abstract Two paradigms for reasoning under uncertainty have evolved from research into artificial intelligence, namely the qualitative and the quantitative ones. Non-numerical theories which typify the first paradigm exhibit inherent limitations.
Paul C. Rhodes, Grigorios I. Karakoulas
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mPartition: A Model-Based Method for Partitioning Alignments

Journal of Molecular Evolution, 2020
Maximum likelihood (ML) analysis of nucleotide or amino-acid alignments is widely used to infer evolutionary relationships among species. Computing the likelihood of a phylogenetic tree from such alignments is a complicated task because the evolutionary processes typically vary across sites.
Thu Le Kim, Vinh Le Sy
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