Results 31 to 40 of about 736 (116)
Identification of Missing Knowledge in MBSE System Models Using Graph‐Based Machine Learning
ABSTRACT The design and development of complex aerospace systems pose significant challenges due to their growing complexity. Iterative design processes, guided by formal specifications, strive to refine initially vague characteristics through multiple stages.
Esma Karagoz +2 more
wiley +1 more source
Literature review about Neo4j graph database as a feasible alternative for replacing RDBMS
Neo4 is a NoSQL graph database that has been emerging in the fields of social networks and web applications with high concurrency. The characteristics of supporting technological transactions and a high scalability have been attracting the attention of ...
Félix Melchor Santos López +1 more
doaj +1 more source
Ontology-driven development of dialogue systems
A new technique and its software implementation are presented to create a deeply semantically structured ontology using plain natural language text as input, without regular structure or any previous tagging and markup.
Anna Litvin +3 more
doaj +1 more source
Abstract Background and Purpose Gene regulation is frequently altered in diseases in unique and patient‐specific ways. Hence, personalised strategies have been proposed to infer patient‐specific gene‐regulatory networks. However, existing methods do not scale well because they often require recomputing the entire network per sample.
Johannes Kersting +5 more
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
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
Prediction Model for Soybean Productivity [PDF]
This paper presents a holistic approach to biological and agricultural research focused on the use of interconnected technologies in the context of climate change.
Ion GANEA
doaj
Partitioning based multi-persistence model for multi-paradigm database
In the era of Internet of things and social media huge amount of data are generated day by day from numerous sources. The problem for each and every organization is to tackle with the volume, variety and velocity of data.
Manbir Singh Punia +2 more
doaj +1 more source
Creating an Interactive Web Interface for Networks Stored in Knowledge Graph Databases
Abstract Knowledge graphs (KG) are an emerging approach to organize biomedical research data by abstracting knowledge into networks that connect genes, diseases, pathogens, drugs, metabolites, cell types, pathways, patients, researchers, and other related concepts.
John Erol Evangelista +6 more
wiley +1 more source

