Results 31 to 40 of about 2,770 (172)
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
Performance analysis of PostgreSQL, Neo4j and MongoDB
, 2022 Bakalaurā darbā “PostrgeSQL, Neo4j un MongoDB veiktspējas analīze” tiek salīdzinātas divu veidu datubāžu pārvaldības sistēmas – relāciju un NoSQL, kā arī tika veikta veiktspējas analīze.
Sole, Alabama
core
Identification of Missing Knowledge in MBSE System Models Using Graph‐Based Machine Learning
Systems Engineering, Volume 29, Issue 2, Page 133-149, March 2026.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
Web application for manipulation of Neo4j database
, 2021 Fokus ovog rada je opis Neo4j graf baze podataka. U radu su kratko opisane NoSQL baze podataka, odnosno njihova podjela i karakteristike. Više pažnje predano je opisu graf baze podataka te usporedbi iste s relacijskom bazom podataka.
Žuljević, Ana
core
Small Structures, Volume 7, Issue 2, February 2026.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
IET Communications, Volume 20, Issue 1, January/December 2026.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
Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.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
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.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
Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.With the acceleration of urbanization and rapid growth of vehicle ownership, traffic congestion has become a critical bottleneck constraining sustainable urban development. Traditional traffic signal control methods struggle to adapt to the complex traffic environment where connected and automated vehicles (CAVs) coexist with conventional vehicles ...
Yizhe Wang +5 more
wiley +1 more source