Results 71 to 80 of about 192,525 (251)
Using open-source intelligence to identify early signals of COVID-19 in Indonesia. [PDF]
Western Pac Surveill Response J, 2021 Thamtono Y, Moa A, MacIntyre CR.
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +2 more
wiley +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
USING OPEN SOURCE INTELLIGENCE TO COMBAT HYBRID THREATS
Security ForumIn the face of dynamic changes in the security environment and a growing number of hybrid activities, the role of white intelligence (OSINT) in identifying and countering these threats is becoming increasingly important. The article addresses the use of
Damian Czapik
doaj
A multi-source threat intelligence confidence value evaluation method based on machine learning
Dianxin kexue, 2020 During the collection process of multi-source threat intelligence,it is very hard for the intelligence center to make a scientific decision to massive intelligence because the data value density is low,the intelligence repeatabil-ity is high,and the ...
Hansheng LIU +5 more
doaj +2 more sources
Analyzing the Essential Attributes of Nationally Issued COVID-19 Contact Tracing Apps: Open-Source Intelligence Approach and Content Analysis. [PDF]
JMIR Mhealth Uhealth, 2021 Weiß JP, Esdar M, Hübner U.
europepmc +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Enhancing Open-Source Intelligence: Introducing the Functional Intelligence Tool (FINT)
2024 9th International Conference on Big Data Analytics (ICBDA)With an increasing number of protests involving a more diverse group of people, the Dutch Police have to analyse a large number of messages posted on social media platforms, which becomes increasingly difficult to scrutinise for the Open Source Intelligence (OSINT) analysts of the Dutch Police.
Müter, Laurens H.F. +4 more
openaire +2 more sources
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source