Results 71 to 80 of about 7,994 (198)
With the deepening of industrial digital transformation, equipment fault diagnosis faces challenges including low utilization of unstructured data, weak cross‐modal semantic association, and lagging knowledge updates. Traditional methods relying on artificial rules and static knowledge bases struggle to effectively integrate multimodal information such
Yu Fang, Richard Murray
wiley +1 more source
Graph Database Schema for Multimodal Transportation in Semarang
Background: Semarang has broad area that cannot be covered entirely by single transportation mode. To reach a specific location, people often use more than one public transportation mode.
Panji Wisnu Wirawan +3 more
doaj +1 more source
Neo4j Graph Database Implementation for LinkedIn
The presented article mainly circumspect the idea for the use and implementation of graph database in the most social media of today. Currently many companies are using neo4j graph database for their workouts for data management. We shall stick with social media for this particular paper.
Punam Nikam, Sachin Bhoite, Anuj Shenoy
openaire +1 more source
With the help of large language models, deep neural network learning, and kinetic calculation, a knowledge graph prediction of prior research in methane conversion is conducted. This knowledge graph provides a comprehensive understanding of the relationships among catalyst materials, catalytic performance, and reaction conditions, providing guidance ...
Boyu Xu +11 more
wiley +1 more source
Architecture of the higher vocational English knowledge graph. ABSTRACT Aiming at the problem of insufficient individualization and dynamic demand in higher vocational English learning, this paper proposes a dynamic learning path recommendation method based on real‐time knowledge graph updates.
Fengna Zhang, Xinxin Li
wiley +1 more source
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu +7 more
wiley +1 more source
This study introduces the NVPF metric to quantify cybersecurity risks in online social networks, demonstrating that integrating behavioral, topological, and neighbor‐based features significantly enhances threat detection accuracy—achieving a 24.7% improvement over traditional methods.
Romil Rawat +6 more
wiley +1 more source
Здійснено реалізацію можливості багаторазового використання графів потоку керування для проведення над ними повторного статичного аналізу (можливість проведення пошуку недоброякісного коду як за стилістикою, так і щодо наявності вразливостей, що їх він ...
Trokhym Babych, Semen Gorokhovskyi
doaj +1 more source
Hinst: Human‐Like Interactive Instinct Enables Robots to Robustly Accomplish Universal Tasks
Aiming at current robot limitations of poor flexibility, poor practicality, and poor universality in task accomplishment, the authors report a human‐like interactive instinct (Hinst) and an anthropomorphic robotic system architecture. The Hinst greatly enhances the efficiency and the success rate of robotic manipulation, skill learning, and task ...
Zijian Liao +4 more
wiley +1 more source
Semantic Support for Log Analysis of Safety-Critical Embedded Systems
Testing is a relevant activity for the development life-cycle of Safety Critical Embedded systems. In particular, much effort is spent for analysis and classification of test logs from SCADA subsystems, especially when failures occur. The human expertise
Ficco, Massimo +3 more
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