Results 61 to 70 of about 7,994 (198)
Storage efficiency comparison of UML models in selected database technologies
.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
The lifecycle of provenance metadata and its associated challenges and opportunities
This chapter outlines some of the challenges and opportunities associated with adopting provenance principles and standards in a variety of disciplines, including data publication and reuse, and information ...
Missier, Paolo
core +1 more source
This review proposes using machine learning (ML) and large language models (LLMs) to circumvent performance variabilities in chemical vapour deposition graphene coatings for corrosion resistance. ML optimises synthesis parameters, predicting quality metrics, for example, defect density and layer count, and LLMs structure complex literature data via a ...
Pragyan Goswami +2 more
wiley +1 more source
ACTIC: A Large Language Model‐Based Method for Threat Intelligence Perception
This paper proposes a study that introduces an automated method for constructing a threat intelligence knowledge graph construction method based on using large language models, named ACTIC. This approach utilises a locally deployed DeepSeek‐32B model and employs, combined with prompt engineering and Low‐Rank Adaptation (LoRA) fine‐tuning, to extract ...
Changcheng Liu, Changheng Yang, Jun Ma
wiley +1 more source
Comparación entre Bases de Datos Orientadas a Grafo y Relacional basado en el rendimiento
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
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
Extracting Build Changes with BUILDDIFF
Build systems are an essential part of modern software engineering projects. As software projects change continuously, it is crucial to understand how the build system changes because neglecting its maintenance can lead to expensive build breakage ...
Macho, Christian +2 more
core +1 more source
This study provides a comprehensive review of predictive maintenance in aviation, emphasising the integration of digital twin technology, engineering data management and AI algorithms. It highlights how data‐driven approaches enhance safety, reduce costs and improve aircraft reliability through real‐time monitoring, fault detection and remaining useful
Saber Mehdipour +6 more
wiley +1 more source
TrafficRobot: An AI Agent Framework for Urban Traffic Management
ABSTRACT As urbanisation accelerates, traditional Intelligent Transportation Systems (ITSs), reliant on manual monitoring and rule‐based logic, struggle to manage increasingly complex and dynamic traffic conditions. This study proposes TrafficRobot, a hierarchical AI agent framework that implements a closed‐loop control flow for urban traffic ...
Xiaohua Liu +3 more
wiley +1 more source
Portinari: A Data Exploration Tool to Personalize Cervical Cancer Screening
Socio-technical systems play an important role in public health screening programs to prevent cancer. Cervical cancer incidence has significantly decreased in countries that developed systems for organized screening engaging medical practitioners ...
Meira Jr., Wagner +4 more
core +1 more source

