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This article concerns development of simulation models for deep groove ball bearings which are used in a variety of rotating machinery.
This paper presents a summary of models for deep beams from 73 publications, and focuses on a detailed evaluation of ten more recent models by using a database of 574 deep beam tests.
It is also interesting that the shape of the amplitude response is similar among the different structure models for deep bedrock depths.
We will also form a team of theoretical investigators in systems modeling and medical data treatment, who will be developing the much needed mathematical models for deep tissue imaging and image construction.
Very recently, prediction models for deep sequencing data of the V3 loop were introduced by Swenson et al. (2011).
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This paper introduces a prototype design model for deep low-enthalpy hydrothermal systems.
In this study, a new model for deep bidirectional LSTM network-based wavelet sequences called DBLSTM-WS was proposed for classifying electrocardiogram (ECG) signals.
The conceptual model for deep geological disposal of high level nuclear waste (HLW) is based on multiple barrier system consisting of natural and engineered barriers.
For strut and tie modeling for deep beams, the reduction in effective concrete compressive strength because of corrosion cracks was considered along with the reduction in geometry of concrete cross section.
Additionally, a one-dimensional (1D) velocity model for deep sediments was constructed, and this paper describes the long-period site amplification effect with reference to this newly constructed velocity model.
CRP is an ideal model for deep or medical re-sequencing because it is a small gene (~2 kb) whose protein product is well studied as an established general marker for predicting cardiovascular disease and risk of myocardial infarction (Danesh et al. 2004).
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