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Meta-Knowledge and Multi-Task Learning-Based Multi-Scene Adaptive Crowd Counting [PDF]
Sensors, 2022 In this paper, we propose a multi-scene adaptive crowd counting method based on meta-knowledge and multi-task learning. In practice, surveillance cameras are stationarily deployed in various scenes. Considering the extensibility of a surveillance system,
Siqi Tang +4 more
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Meta learning based few shot knowledge graph completion with domain selected aggregation [PDF]
Scientific ReportsWith the rapid development of artificial intelligence, knowledge graphs have become increasingly important for many downstream reasoning tasks. Although large-scale knowledge graphs have been constructed in many domains, many relations still suffer from ...
Bin Yang +3 more
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Meta Knowledge Intelligent Systems on Resolving Logic Paradoxes [PDF]
Jisuanji kexue, 2022 Professor Q.S.GAO (Chinese Science Academician) published New Fuzzy Set Theory in 2006 to explore possible solutions removing paradoxes in Fuzzy logic.In 2009,he published Foundation of Unified Linguistics from Science Press to provide bases of ...
Jeffrey ZHENG
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The concept of “scientific revolutions” in the Geoecology knowledge system [PDF]
E3S Web of Conferences, 2020 The current situation in the field of information support for solving the problem of sustainable development of regions, using the example and in the appendix to the “meta-knowledge” of Geoecology is examined in the paper.
Turkov Sergey
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Journal of ICT in Education, 2023 Rapid technological advances are having an impact on the field of education. Multimedia courseware is a widely used option to help facilitate teaching and learning in the classroom.
Nurulizzati Abdul Ghafar +5 more
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CoRR, 2022 Recent studies pointed out that knowledge distillation (KD) suffers from two degradation problems, the teacher-student gap and the incompatibility with strong data augmentations, making it not applicable to training state-of-the-art models, which are trained with advanced augmentations.
Jihao Liu +3 more
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Designing a Comprehensive Model for Developing a Smart Organizational Knowledge Map: A Hyper-Hybrid Approach Based on Meta-Ethnography [PDF]
International Journal of Digital Content Management, 2023 This study aimed to design a comprehensive model for intelligent organizational knowledge mapping with a hyper-hybrid approach based on meta-ethnography.
Dariush Mehrzadian +3 more
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A Meta-Analysis of Organizational Factors Affecting the Sharing of Organizational Knowledge [PDF]
علوم و فنون مدیریت اطلاعات, 2021 Aim: The present study was conducted to analyze the meta-analysis of organizationalfactors affecting the sharing of organizational knowledge. Method: The present study's mechanism is a quantitative meta-analysis to reach a general conclusion in this area.
Atefeh Sohrabi +2 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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ISSUES WITH META-KNOWLEDGE [PDF]
International Journal of Software Engineering and Knowledge Engineering, 2000 At the SEKE'99 conference, knowledge engineering researchers held a panel on the merits of meta-knowledge (i.e. problem solving methods and ontologies) for the development of knowledge-based systems. The original panel was framed as a debate on the merits of meta-knowledge for knowledge maintenance [21]. However, the debate quickly expanded. In the end,
Menzies, Tim +3 more
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