MAD saccade: statistically robust saccade threshold estimation via the median absolute deviation [PDF]
Journal of Eye Movement Research, 2020 Saccade detection is a critical step in the analysis of gaze data. A common method for saccade detection is to use a simple threshold for velocity or acceleration values, which can be estimated from the data using the mean and standard deviation. However,
Benjamin Voloh +3 more
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A median absolute deviation-neural network (MAD-NN) method for atmospheric temperature data cleaning [PDF]
MethodsX, 2021 Some of the biggest challenges in climate change arise from bad dataset. To address this issue, we have developed a novel method for cleaning coarse atmospheric dataset; the median absolute deviation-neural network (MAD-NN) method.
Oluwafisayo Owolabi +4 more
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Image-Based Concrete Crack Detection Method Using the Median Absolute Deviation [PDF]
SensorsThis paper proposes an innovative approach for detecting and quantifying concrete cracks using an adaptive threshold method based on Median Absolute Deviation (MAD) in images.
Juan Camilo Avendaño +2 more
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Noise Estimation for Image Sensor Based on Local Entropy and Median Absolute Deviation [PDF]
Sensors, 2019 Noise estimation for image sensor is a key technique in many image pre-processing applications such as blind de-noising. The existing noise estimation methods for additive white Gaussian noise (AWGN) and Poisson-Gaussian noise (PGN) may underestimate or ...
Yongsong Li +5 more
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A robust cusum control chart for median absolute deviation based on trimming and winsorization [PDF]
PLoS ONEStatistical quality control is concerned with the analysis of production and manufacturing processes. Control charts are process control techniques, commonly applied to observe and control deviations. Shewhart control charts are very sensitive and used for large shifts based on the basic assumption of normality.
Umair Khalil +4 more
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Data Discovery in Images Using a Median-Absolute-Deviation Based Filter [PDF]
ITM Web of Conferences, 2023 The utility of a recently developed, novel, computational digital image curation tool called SOCKS (Statistical Outlier Curation Kernel Software) is demonstrated in this paper. Raw image-data of the James Webb Space Telescope (JWST) is used for the tests.
Banerjee Shataneek +3 more
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Median Absolute Deviation for BGP Anomaly Detection
Future InternetThe stability and reliability of the global Internet infrastructure heavily rely on the Border Gateway Protocol (BGP), a crucial protocol that facilitates the exchange of routing information among various Autonomous Systems, ensuring seamless ...
Maria Andrea Romo-Chavero +3 more
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COMPARISON OF CONTROL CHART X ̅ BASED ON MEDIAN ABSOLUTE DEVIATION WITH S
BarekengA stable and controlled process will produce products of good quality following predetermined specifications. A control chart is one of the statistical tools that can be used to measure the stability of a product process in a controlled state.
Mayashari Mayashari +2 more
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Detecting Outliers in the Simple Linear Regression for Children Affected with Leukemia in Mosul City
Tikrit Journal of Pure Science, 2022 In this study, the problem of outlier detection in “linear regression” analysis is studied using the “median” and “mean” “absolute deviation” about the median.
Shaymaa Riyadh Thanoon +1 more
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Developing an Innovative High-precision Approach to Predict Medium-term and Long-term Satellite Clock Bias [PDF]
Journal of Geodesy and Geoinformation Science, 2023 A new prediction method based on the nonlinear autoregressive model is proposed to improve the accuracy of medium-term and long-term predictions of Satellite Clock Bias (SCB).
Xu WANG,Hongzhou CHAI
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