Articles with "combining machine" as a keyword



Combining machine learning with computational fluid dynamics using OpenFOAM and SmartSim

Sign Up to like & get
recommendations!
Published in 2024 at "Meccanica"

DOI: 10.1007/s11012-024-01797-z

Abstract: Combining machine learning (ML) with computational fluid dynamics (CFD) opens many possibilities for improving simulations of technical and natural systems. However, CFD+ML algorithms require exchange of data, synchronization, and calculation on heterogeneous hardware, making their… read more here.

Keywords: combining machine; learning computational; machine learning; openfoam smartsim ... See more keywords
Photo by drew_hays from unsplash

Combining Machine Learning and Nanofluidic Technology To Diagnose Pancreatic Cancer Using Exosomes.

Sign Up to like & get
recommendations!
Published in 2017 at "ACS nano"

DOI: 10.1021/acsnano.7b05503

Abstract: Circulating exosomes contain a wealth of proteomic and genetic information, presenting an enormous opportunity in cancer diagnostics. While microfluidic approaches have been used to successfully isolate cells from complex samples, scaling these approaches for exosome… read more here.

Keywords: machine learning; pancreatic cancer; combining machine; learning nanofluidic ... See more keywords

Combining Machine Learning and Network Analysis Pipelines: The Case of Microbiome and Metabolomics Data in Colorectal Cancer

Sign Up to like & get
recommendations!
Published in 2022 at "Studies in health technology and informatics"

DOI: 10.3233/shti210965

Abstract: This study analyzes samples of intestinal microbiome and metabolites, from healthy individuals (HE) and patients with adenomas (AD) or colorectal carcinomas (CRC). A network analysis (NetAn) method was applied to the data, to identify the… read more here.

Keywords: network; machine learning; combining machine; learning network ... See more keywords

Combining Machine Learning Algorithms with Earth Observations for Crop Monitoring and Management

Sign Up to like & get
recommendations!
Published in 2025 at "Agriculture"

DOI: 10.3390/agriculture15050494

Abstract: Combining machine learning algorithms with Earth observations has great potential in the context of crop monitoring and management, which is essential in the face of global challenges related to food security and climate change [...] read more here.

Keywords: earth observations; algorithms earth; combining machine; machine learning ... See more keywords