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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
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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
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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 +3 more
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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 +2 more
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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
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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 +3 more
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Modelling Knowledge Extraction to Make Value in Service Organizations [PDF]
International Journal of Digital Content ManagementPurpose: 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 +3 more
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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 +3 more
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Extracting ontological knowledge from Java source code using Hidden Markov Models
Open Computer Science, 2019 Ontologies have become a key element since many decades in information systems such as in epidemiological surveillance domain. Building domain ontologies requires the access to domain knowledge owned by domain experts or contained in knowledge sources ...
Jiomekong Azanzi +2 more
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Large-Scale Twitter Mining for Extracting the Psychological Impacts of COVID-19
International Journal of Information and Communication Technology Research, 2022 The outbreak of the COVID-19 in 2020 and lack of an effective cure caused psychological problems among humans. This has been reflected widely on social media.
Hamed Vahdat-Nejad +8 more
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