Results 51 to 60 of about 4,521,941 (297)
The classification and use of robust methodologies in sensor array applications of electronic noses (ENs) remain an open problem. Among the several steps used in the developed methodologies, data preprocessing improves the classification accuracy of this
Jersson X. Leon-Medina +4 more
doaj +1 more source
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
New algorithm for biological objects' shape evaluation and data reduction
The paper presents the software procedure (using MAPLE 11) intended for considerable reduction of digital image data set to more easily treatable extent. The example with image of peach stone is presented. Peach stone, displayed on the digital photo, was
Stanislav Bartoň +2 more
doaj +1 more source
A Simplification Method for Point Cloud of T-Profile Steel Plate for Shipbuilding
According to the requirements of point cloud simplification for T-profile steel plate welding in shipbuilding, the disadvantages of the existing simplification algorithms are analyzed.
Yanfeng Gao +3 more
doaj +1 more source
Hadoop Data Reduction Framework: Applying Data Reduction at the DFS Layer
Big-data processing systems such as Hadoop, which usually utilize distributed file systems (DFSs), require data reduction schemes to maximize storage space efficiency. These schemes have different tradeoffs, and there are no all-purpose schemes applicable to all data. Users must select a suitable scheme in accordance with their data.
Ryan Nathanael Soenjoto Widodo +2 more
openaire +2 more sources
The SOXS data-reduction pipeline [PDF]
The SOXS is a dual-arm spectrograph (UV-VIS & NIR) and AC due to mounted on the ESO 3.6m NTT in La Silla. Designed to simultaneously cover the optical and NIR wavelength range from 350-2050 nm, the instrument will be dedicated to the study of transient and variable events with many Target of Opportunity requests expected.
Young, David R. +45 more
openaire +4 more sources
A Clustering-Based Algorithm for Data Reduction [PDF]
Finding an efficient data reduction method for large-scale problems is an imperative task. In this paper, we propose a similarity-based self-constructing fuzzy clustering algorithm to do the sampling of instances for the classification task.
Lee, Shie-Jue +2 more
core
Noise Reduction of Low Count STEM-EDX Data by Low-rank Regularized Spectral Smoothing [PDF]
Statistically weighted principal component analysis (wPCA) is widely used to reduce the noise of scanning transmission electron microscopy-energy-dispersive X-ray (STEM-EDX) spectroscopy data.
Keisuke, Ozawa
core +1 more source
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
Data reduction activities at European XFEL: early results
The European XFEL is a megahertz repetition-rate facility producing extremely bright and coherent pulses of a few tens of femtoseconds duration. The amount of data generated in the context of user experiments can exceed hundreds of gigabits per second ...
Egor Sobolev +35 more
doaj +1 more source

