Software fault prediction is a very consequent research topic for software quality assurance.The performance of fault prediction model depends on the features that are used to train it.Redundant and irrelevant features can hinder the performance of a classification model.In this paper, we propose an empirical study of two-stage data pre-processing
Spatial Shift Phenomenon Compensation for TomoSAR Imaging Using High-Resolution TerraSAR-X Data
Massive high-resolution spaceborne synthetic aperture radar (SAR) data are available nowadays, effecting rapid development in the urban remote sensing technology.In this Inlet Valve Connector study, we use a set of 27 scenes from TerraSAR-X to reconstruct the three-dimensional (3D) point clouds of a skyscraper-North Star Times Tower in Beijing, Chi
Genetic epidemiology using whole genome sequencing and haplotype networks revealed the linkage of SARS-CoV-2 infection in nosocomial outbreak
Summary: Background: A characteristic feature of SARS-CoV-2 is its ability to transmit Figurines from pre- or asymptomatic patients, complicating the tracing of infection pathways and causing outbreaks.Despite several reports that whole genome sequencing (WGS) and haplotype networks are useful for epidemiologic analysis, little is known about their
High-Speed and Enhanced Motion Control for a Wheeled-Legged Humanoid Robot Using a Two-Wheeled Inverted Pendulum With Roll Joint
Wheeled-legged humanoid robots combine the mobility of wheels with the versatility of legs, offering significant advantages for locomotion.This paper proposes a hierarchical control framework for such robots, using a two-wheeled inverted pendulum with a roll joint (TWIP-R) as a template model.The framework integrates a motion planner and a whole-bo