A median absolute deviation-neural network (MAD-NN) method for atmospheric temperature data cleaning
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
doaj +3 more sources
MAD saccade: statistically robust saccade threshold estimation via the median absolute deviation
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
doaj +4 more sources
Evaluation of Modified Non-Normal Process Capability Index and Its Bootstrap Confidence Intervals [PDF]
IEEE Access, 2017 Process capability index (PCI) is used to quantify the process performance and is becoming an attracted area of research. A variability measure plays an important role in PCI.
Muhammad Kashif +4 more
doaj +3 more sources
Chapter 15: Estimation of Noise in Gray-Scale and Colored Images Using Median Absolute Deviation (MAD) [PDF]
2008 3rd International Conference on Geometric Modeling and Imaging, 2008 This paper presents a new algorithm for estimation of noise (i.e., level of noise) in both gray-scale and color images (GSI, CI). The new technique is called median-absolute deviation (MAD). This technique does require an explicit estimation of the noise level or the signal to noise ratio (SNR), which is usually needed in most of the popular ...
Hassan H. Khalil +2 more
openaire +3 more sources
A Novel Approach to Speed Up Hampel Filter for Outlier Detection [PDF]
SensorsOutlier detection is a critical task in time series analysis, essential to maintaining data quality and allowing for accurate subsequent analysis. The Hampel filter, a decision filter that replaces outliers in a data window with the median, is widely ...
Mario Roos-Hoefgeest Toribio +3 more
doaj +2 more sources
A Preprocessing Pipeline for Pupillometry Signal from Multimodal iMotion Data [PDF]
SensorsPupillometry is commonly used to evaluate cognitive effort, attention, and facial expression response, offering valuable insights into human performance.
Jingxiang Ong +6 more
doaj +2 more sources
On the sensitivity of robust control charts in monitoring contaminated data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 Shewhart chart is typically formed under normality assumptions. In reality, much data is contaminated with occasional outliers, which may diminish the Shewhart chart’s sensitivity.
Kooi Huat Ng +3 more
doaj +1 more source
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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World Journal of Nuclear Medicine, 2021 The objective of this study was to compare the performance of variance, median absolute deviation, and the square of median absolute deviation methods of noise estimation in denoising of 99mTc-sestamibi parathyroid images using wavelet transform.
Anil Pandey +4 more
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Diagram Kendali MAD pada Harga Cabai Rawit di Jawa Tengah
Jurnal Matematika, 2021 Food price policies affect the stabilization of food prices in Indonesia. The control chart is one of the tools used to measure the stabilization of food prices. The control chart was first introduced by W.A. Shewhart.
Yolanda Norasia
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