Results 31 to 40 of about 1,250,996 (142)
Fault diagnosis of an induction motor using data fusion based on neural networks
In this paper, neural network‐based data fusion is used to detect fault and isolate stator winding short circuit, outer bearing race, and broken rotor bar defects in an induction motor.
Saeid Jorkesh, Javad Poshtan
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Autonomic resource management on cloud is a challenging task because of its huge heterogeneous and distributed environment. There are several service providers in the cloud to provide a different set of cloud services. These services are delivered to the
Bhupesh Kumar Dewangan +3 more
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A probabilistic collaborative dictionary learning‐based approach for face recognition
Although Sparse Representation based Classifier (SRC), a non‐parametric model, can obtain an interesting result for pattern recognition , a reasonable interpretation has been lacked for its classification mechanism. What is more, the training samples are
Shilin Lv +4 more
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An efficient control strategy for two connected microgrids (MGs) is proposed to ensure stable and economic operation. One of the most important means of improving energy efficiency is to achieve the best response for sudden and stochastic disturbances to
Hossam E. Keshta +4 more
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Entropy of the Nordic electricity market: anomalous scaling, spikes, and mean-reversion [PDF]
The electricity market is a very peculiar market due to the large variety of phenomena that can affect the spot price. However, this market still shows many typical features of other speculative (commodity) markets like, for instance, data clustering and
Clewlow L +11 more
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A three‐dimensional direct lightning strike model for lightning protection of the substation
Lightning strikes to a substation happen frequently, which has a serious impact on the safety of the power system. Therefore, it is important to evaluate the effect of the direct lightning to the substation for the sake of protection.
Jun Guo +5 more
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A Project Based Approach to Statistics and Data Science
In an increasingly data-driven world, facility with statistics is more important than ever for our students. At institutions without a statistician, it often falls to the mathematics faculty to teach statistics courses. This paper presents a model that a
Akritas M +13 more
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This letter analyses the outage performance of the optimal tag selection scheme for the proposed backscatter communication system. The consumed power by the tag's circuit is considered and the harvested power is described using the non‐linear model.
Yingting Liu +4 more
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This paper conveys attitude and rate estimation without rate sensors by performing a critical comparison, validated by extensive simulations. The two dominant approaches to facilitate attitude estimation are based on stochastic and set‐membership ...
N. P. Koumpis +2 more
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I published an interview of Leo Breiman in Statistical Science [Olshen (2001)], and also the solution to a problem concerning almost sure convergence of binary tree-structured estimators in regression [Olshen (2007)].
Olshen, Richard A.
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