Results 1 to 10 of about 1,918,025 (175)

Does COVID-19 Clinical Status Associate with Outcome Severity? An Unsupervised Machine Learning Approach for Knowledge Extraction. [PDF]

J Pers Med, 2021
Karlafti E, Anagnostis A, Kotzakioulafi E, Vittoraki MC, Eufraimidou A, Kasarjyan K, Eufraimidou K, Dimitriadou G, Kakanis C, Anthopoulos M, Kaiafa G, Savopoulos C, Didangelos T.   +12 more
europepmc   +3 more sources

MilkOligoCorpus: A semantically annotated resource for knowledge extraction on mammalian milk oligosaccharides. [PDF]

PLoS One
Rumeau M, Courtin M, Bossy R, Sauvion C, Loux V, Ba M, Knudsen C, Combes S, Nédellec C, Deléger L.   +9 more
europepmc   +3 more sources

Acknowledgment to Reviewers of Machine Learning and Knowledge Extraction in 2021

Machine Learning and Knowledge Extraction, 2022
Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Machine Learning and Knowledge Extraction Editorial Office
doaj   +1 more source

Acknowledgment to the Reviewers of Machine Learning and Knowledge Extraction in 2022

Machine Learning and Knowledge Extraction, 2023
High-quality academic publishing is built on rigorous peer review [...]
Machine Learning and Knowledge Extraction Editorial Office
doaj   +1 more source

Valuable Knowledge Mining: Deep Analysis of Heart Disease and Psychological Causes Based on Large-Scale Medical Data

Applied Sciences, 2023
The task of accurately identifying medical entities and extracting entity relationships from large-scale medical text data has become a hot topic in recent years, aiming to mine potential rules and knowledge. How to conduct in-depth context analysis from
Ling Wang, Minglei Shan, Tie Hua Zhou, Keun Ho Ryu   +3 more
doaj   +1 more source

Semantic Labeling of Globally Distributed Urban and Nonurban Satellite Images Using High-Resolution SAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
While the analysis and understanding of multispectral (i.e., optical) remote sensing images have made considerable progress during the last decades, the automated analysis of synthetic aperture radar (SAR) satellite images still needs some innovative ...
Corneliu Dumitru, Gottfried Schwarz, Mihai Datcu   +2 more
doaj   +1 more source

Fault knowledge graph construction for coal mine fully mechanized mining equipment

Gong-kuang zidonghua, 2023
The existing fault diagnosis methods for coal mine fully mechanized mining equipment lack systematic management and application of historical fault data of fully mechanized mining equipment.
CAI Anjiang, ZHANG Yan, REN Zhigang
doaj   +1 more source

The Construction of Knowledge Graphs in the Aviation Assembly Domain Based on a Joint Knowledge Extraction Model

IEEE Access, 2023
The aviation assembly domain, which is a complex system, involves the multi-dimensional information of parts, processes, tools, plants and operation projects.
Peifeng Liu, Lu Qian, Xingwei Zhao, Bo Tao   +3 more
doaj   +1 more source

Modelling Knowledge Extraction to Make Value in Service Organizations [PDF]

International Journal of Digital Content Management
Purpose: Considering the development of technology and the use of artificial intelligence in the process of knowledge management in the service sector as well as intelligent knowledge extraction, this study aims to model an intelligent knowledge ...
Mila Malekolkalami, Mohammad Hassanzadeh, Atefeh Sharif, Mansour Rezghi   +3 more
doaj   +1 more source

Identifying Essential Components Affecting Intelligent Knowledge Extraction in Organizations: A Meta-Synthesis [PDF]

علوم و فنون مدیریت اطلاعات, 2023
Purpose: The importance of smartening in industrial business processes has increased significantly in recent years. On the other hand, the importance of knowledge as a competitive advantage continues growing.
Mila Malekolkalami, Mohammad Hassanzadeh, Atefeh Sharif, Mansour Rezghi   +3 more
doaj   +1 more source