Results 81 to 90 of about 3,133 (215)
Fuel Cells, Volume 26, Issue 2, April 2026.ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi +5 more
wiley +1 more source
Possibilities of using database Neo4j [PDF]
, 2016 The theme of bachelor work is NoSQL graph database Neo4J. The main objective of this work is to describe the key features Neo4J and show a practical example of how to work with this system. To achieve this objective were studied books, internet resources
Konoshenko, Evgeny
core
Frontiers in Energy ResearchIntroductionIn response to the issues of complexity and low efficiency in line loss calculations for actual distribution networks, this paper proposes a fast power flow calculation method for distribution networks based on Neo4j graph models and a ...
Xinrui Wang +4 more
doaj +1 more source
Storage efficiency comparison of UML models in selected database technologies
Journal of Computer Sciences Institute, 2019 .The study answers the question which database is the best choice for efficient data storage of UML models. Three products were considered: MongoDB, PostgreSQL and Neo4J.
Andrii Filatov +2 more
doaj +1 more source
Clinical and Public Health Guidelines, Volume 3, Issue 2, April 2026.ABSTRACT Introduction It has been estimated to take 17 years for research to change clinical practice. Scientific Knowledge Accelerator Foundation aims to narrow this research‐practice gap, hypothesising that making scientific evidence computable will accelerate the pace of knowledge transfer.
Brian S. Alper +6 more
wiley +1 more source
British Journal of Pharmacology, Volume 183, Issue 8, Page 1709-1724, April 2026.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
Understanding Trolls with Efficient Analytics of Large Graphs in Neo4j [PDF]
, 2019 Analytics of large graph data set has become an important means of understanding and influencing the world. The use of graph database technology in the International Consortium of Investigative Journalists’ (ICIJ) investigation of the Panama Papers and ...
Needham, Mark +6 more
core +1 more source
, 2020 The growth experienced by the internet in the past few years as lead to an increased amount of available data and knowledge obtained from said data. However most of this knowledge is lost due to the lack of associated semantics making the task of interpreting data very hard to computers.
Moreira, Ezequiel, Ramalho, José Carlos
openaire +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
Materials Genome Engineering Advances, Volume 4, Issue 1, March 2026.TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang +5 more
wiley +1 more source
Comparación entre Bases de Datos Orientadas a Grafo y Relacional basado en el rendimiento
Serie Científica de la Universidad de las Ciencias Informáticas, 2020 Actualmente en cada segundo y minuto en el mundo son generados grandes cantidades de datos que necesitan ser almacenados y procesados, esta información es muy variada en cuanto a la forma de almacenamiento y fuente de procedencia así como son muchos y ...
Royland Rodriguez Reyes
doaj