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Brandon M. Greenwell
Air Force Institute of Technology
14Publications
4H-index
56Citations
Publications 14
Newest
#2Brandon M. Greenwell (Wright State University)H-Index: 4
In the era of "big data", it is becoming more of a challenge to not only build state-of-the-art predictive models, but also gain an understanding of what's really going on in the data. For example, it is often of interest to know which, if any, of the predictors in a fitted model are relatively influential on the predicted outcome. Some modern algorithms---like random forests and gradient boosted decision trees---have a natural way of quantifying the importance or relative influence of each feat...
#1Brittany FoutsH-Index: 1
#2William P. ButlerH-Index: 3
Last.Brandon M. GreenwellH-Index: 4
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Abstract : This study investigated whether there was a difference in inflight status, clinical outcomes, and mission costs between aeromedically evacuated (AE) patients transported with and without a cabin altitude restriction (CAR). The theater validating flight surgeon (TVFS) prescribes the CAR. Although general guidelines have been published regarding CAR, they are not evidence-based. A retrospective matched case-control study was conducted. From 1207 CAR patients (from 2007-2013) found in th...
#2William P. ButlerH-Index: 3
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Abstract : The purpose of this study was to determine the test performance of primary care providers (PCPs) in screening for occupational limitations and ascertain if predictors existed to augment PCP screening. This study was a cross-sectional, retrospective medical records review of active duty U.S. Air Force (AF) members receiving care in an AF medical treatment facility (MTF) between October 31, 2013, and September 30, 2014, who had at least one encounter with their primary care team. An ind...
#1Christine M. Schubert Kabban (AFIT: Air Force Institute of Technology)H-Index: 5
#2Brandon M. Greenwell (AFIT: Air Force Institute of Technology)H-Index: 4
Last.Mark M. Derriso (AFRL: Air Force Research Laboratory)H-Index: 12
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The United States Air Force currently relies on schedule-based inspections using nondestructive evaluation methods for ensuring airframe integrity. The sensitivity of a nondestructive evaluation method is quantified statistically using a probability of detection process. The purpose of the probability of detection process is to generate a a90|95 metric for a given nondestructive evaluation technique and corresponding defect (e.g. crack). This process could be conducted under various inspection c...
SHM systems are built to detect and estimate damage. For such systems, the detection of damage should be, inevitable. It is no longer conceivable that the system will regularly fail to detect damage. Instead, researchers should focus on methods to predict the extent of damage and feasible ranges of the signals that correspond to such damage. We refer to the application of such methods as the reliability of detection. Specifically, this paper considers SHM systems monitoring a particular region o...
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