An integrated approach for lean production using simulation and data envelopment analysis
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Operations Research"
DOI: 10.1007/s10479-021-04265-z
Abstract: According to the extant literature, improving the leanness of a production system boosts a company’s productivity and competitiveness. However, such an endeavor usually involves managing multiple, potentially conflicting objectives. This study proposes a framework that… read more here.
Keywords: production; simulation data; data envelopment; using simulation ... See more keywords
Rapid evaluation method for anisotropic growth of WS2 monolayers by combining machine learning algorithms and kinetic Monte Carlo simulation data
Sign Up to like & getrecommendations! Published in 2020 at "Computational Materials Science"
DOI: 10.1016/j.commatsci.2020.109922
Abstract: Abstract The growth of two-dimensional (2D) materials such as transition metal dichalcogenide (TMDC) monolayers is challenging and their growth mechanism has not been fully understood. It requires a large number of growth experiments and simulation… read more here.
Keywords: anisotropic growth; machine learning; growth mechanism; simulation data ... See more keywords
Unsupervised Learning Methods for Molecular Simulation Data
Sign Up to like & getrecommendations! Published in 2021 at "Chemical Reviews"
DOI: 10.1021/acs.chemrev.0c01195
Abstract: Unsupervised learning is becoming an essential tool to analyze the increasingly large amounts of data produced by atomistic and molecular simulations, in material science, solid state physics, biophysics, and biochemistry. In this Review, we provide… read more here.
Keywords: unsupervised learning; simulation data; learning methods; methods molecular ... See more keywords
Comparison of INDEL Calling Tools with Simulation Data and Real Short-Read Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2018.2854793
Abstract: Insertions and deletions (INDELs) comprise a significant proportion of human genetic variation, and recent papers have revealed that many human diseases may be attributable to INDELs. With the development of next-generation sequencing (NGS) technology, many… read more here.
Keywords: comparison indel; calling tools; indel calling; simulation data ... See more keywords
Simulation data driven weakly supervised adversarial domain adaptation approach for intelligent cross-machine fault diagnosis
Sign Up to like & getrecommendations! Published in 2020 at "Structural Health Monitoring"
DOI: 10.1177/1475921720980718
Abstract: In current research works, a number of intelligent fault diagnosis methods have been proposed with the assistance of domain adaptation approach, which attempt to distinguish the health modes for target domain data using the diagnostic… read more here.
Keywords: fault diagnosis; simulation data; domain adaptation; domain ... See more keywords
Modeling, Simulation and Data Processing for Additive Manufacturing
Sign Up to like & getrecommendations! Published in 2021 at "Materials"
DOI: 10.3390/ma14247755
Abstract: Additive manufacturing or, more commonly, 3D printing is one of the fundamental elements of Industry 4 [...]. read more here.
Keywords: modeling simulation; simulation data; data processing; additive manufacturing ... See more keywords