This study aimed to explore whether baseline values and 12-month change in the 6-Minute Walk Distance (6MWD) and the physical ...
Abstract: Bispectrum analysis is considered as a typical motor current signature analysis tool, has been widely concerned in fault feature extraction. However, current bispectrum utilizes the entire ...
INAVO120 phase 3 trial: Subgroup analyses of Asian patients (pts) with PIK3CA-mutated (mut), hormone receptor-positive, HER2-negative (HER2–), endocrine-resistant advanced breast cancer (aBC) treated ...
This article addresses data-driven time-frequency (T-F) analysis of multivariate signals, which is achieved through the empirical mode decomposition (EMD) algorithm and its noise assisted and ...
├── README.md <-- Main README file explaining the project's business case, │ methodology, and findings │ ├── Notebooks <-- Jupyter Notebooks for exploration and presentation │ └── Exploratory <-- ...
Principal Component Analysis (PCA), which is used to summarize the information contained in continuous (i.e., quantitative) multivariate data by reducing the dimensionality of the data without losing ...
Under different environmental conditions, crop yields differ primarily due to G and E interactions. The Global Rice Array (GRA-IV) is IRRI's fourth flagship project to identify climate-resilient rice ...
The paper concerns the development of methods of EEG functional connectivity estimation including short overview of the currently applied measures describing their advantages and flaws. Linear and non ...