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Sparse feature selection has proven to be effective in analyzing high-dimensional data.
The sensor was shown to be effective in analyzing glucose and H2O2 present in human urine with excellent recovery.
The performance of wavelet bases is found to be effective in analyzing transient and abrupt behavior of EEG signals.
Moreover, we show that sequential body movement analysis, which has already been successfully used in the past to analyze sports, can also be effective in analyzing exergames and hence allow grounded discussion on health issues related to their use.
Both the human brain and the world wide web exhibit small world properties suggesting that an algorithm that is effective as part of a search engine may also be effective in analyzing network properties of the human brain.
Phylotranscriptomics has been shown to be effective in analyzing and showing support for deep relationships within Pancrustacea (von Reumont et al. 2011; Oakley et al. 2012), Insecta (Simon et al. 2012), and Arthropoda (Meusemann et al. 2010).
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The results show that SCALE is effective in analyzing a large number of contingencies and scales well to a large number of processors.
This research suggested TRA was effective in analyzing consumers' purchase intention.
Three-dimensional finite element analysis (FEA) is effective in analyzing stress distributions around dental implants.
Matching pursuit algorithm, a greedy algorithm that chooses a waveform that is the most adapted to approximate part of the signal at each iteration, is effective in analyzing impulse response signals; however, the excessive computational cost limits its engineering applications [11].
The sparse learning model using LASSO was effective in analyzing the epidemiological underlying patterns of DR. This is the first study to develop a machine learning model to predict DR risk using health records.
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