Results 41 to 50 of about 4,867,414 (300)
Mining Relational Databases [PDF]
In this paper, we propose a classification system to induce an intentional definition of a relation from examples, when background knowledge is stored in a relational database composed of several tables and views. Refinement operators have been defined to integrate in a uniform way different induction tools learning numeric and symbolic constraints ...
Frédéric Moal +2 more
openaire +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Perbandingan Relational Database dan Non-Relational Database dalam Pengembangan Smart Tourism [PDF]
The smart tourism application that is built cannot be separated from the role of the database. The more data stored in a database system, it will affect the speed of access of the information system that uses it.
A, Mutmainnah +2 more
core +1 more source
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
wiley +1 more source
Semantic query in a relational database using a local ontology construction (Retraction)
The Editor-in-Chief is retracting the paper entitled ‘Semantic query in a relational database using a local ontology construction’ by Saeed M. Sedighi (corresponding author) and Reza Javidan, published in the November/December 2012 issue (volume 108 ...
Saeed M. Sedighi, Reza Javidan
doaj +1 more source
Current biological and chemical research is increasingly dependent on the reusability of previously acquired data, which typically come from various sources.
Jakub Galgonek, Jiří Vondrášek
doaj +1 more source
Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian +10 more
wiley +1 more source
miSolRNA: A tomato micro RNA relational database
Background The economic importance of Solanaceae plant species is well documented and tomato has become a model for functional genomics studies. In plants, important processes are regulated by microRNAs (miRNA).
Fernie Alisdair R +8 more
doaj +1 more source
Working with Legacy Relational Data in A Graph-Based World
The Next Generation Linkage Management System (NGLMS) was designed around keeping all data in a graph database. However, this constraint, while easily achievable for greenfield projects and/or new data linkage units, may not be easily met where legacy ...
James Farrow
doaj +1 more source

