Results 51 to 60 of about 12,828,068 (289)

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Conceptualization and Non-Relational Implementation of Ontological and Epistemic Vagueness of Information in Digital Humanities

open access: yesInformatics, 2019
Research in the digital humanities often involves vague information, either because our objects of study lack clearly defined boundaries, or because our knowledge about them is incomplete or hypothetical, which is especially true in disciplines about our
Patricia Martin-Rodilla   +1 more
doaj   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

A Modeling methodology for NoSQL Key-Value databases [PDF]

open access: yesDatabase Systems Journal, 2017
In recent years, there has been an increasing interest in the field of non-relational databases. However, far too little attention has been paid to design methodology.
Gerardo ROSSEL, Andrea MANNA
doaj  

Application of Non-Relational Databases in the Social Networks

open access: yesBRAIN. Broad Research in Artificial Intelligence and Neuroscience, 2019
<p>The purpose of this research is to present knowledge in the field of work of databases that contain semi-structured data, also known as NoSQL, in applications using large array data structures. The characteristics of the main categories of the non-relational databases and some of their typical representatives (MongoDB, Redis) have been ...
Miroslav Dechev   +2 more
openaire   +1 more source

Representing Non-Relational Databases with Darwinian Networks

open access: yesInternational Journal of Engineering Research and Applications, 2017
The Darwinian networks (DNs) are first introduced by Dr Butz to simplify and clarify how to work with Bayesian networks (BNs). DNs can unify modeling and reasoning tasks into a single platform using the graphical manipulation of the probability tables that takes on a biological feel.
Paulo Roberto Martins de Andrade   +1 more
openaire   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

open access: yesAdvanced Intelligent Systems, EarlyView.
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

The Advantage of NoSQL Databases over SQL Databases [PDF]

open access: yesDatabase Systems Journal
This article highlights the advantages of NoSQL databases compared to traditional SQL (relational) databases. It argues that the database concept is often implicitly tied to relational models, overlooking non-relational databases’ potential in Big Data ...
Mario-Tudor CHIRIAC
doaj  

Toward building RDB to HBase conversion rules

open access: yesJournal of Big Data, 2017
Cloud data stores that can handle very large amounts of data, such as Apache HBase, have accelerated the use of non-relational databases (coined as NoSQL databases) as a way of addressing RDB database limitations with regards to scalability and ...
R. Ouanouki   +4 more
doaj   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

open access: yesAdvanced Intelligent Systems, EarlyView.
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

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