Results 51 to 60 of about 3,427,733 (300)

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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Applying Movement Constraints to BLE RSSI-Based Indoor Positioning for Extracting Valid Semantic Trajectories

Sensors, 2020
Indoor positioning techniques, owing to received signal strength indicator (RSSI)-based sensors, can provide useful trajectory-based services. These services include user movement analytics, next-to-visit recommendation, and hotspot detection.
Hani Ramadhan, Yoga Yustiawan, Joonho Kwon   +2 more
doaj   +1 more source

A Global Feature-Rich Network Dataset of Cities and Dashboard for Comprehensive Urban Analyses

Scientific Data, 2023
Urban network analytics has become an essential tool for understanding and modeling the intricate complexity of cities. We introduce the Urbanity data repository to nurture this growing research field, offering a comprehensive, open spatial network ...
Winston Yap, Filip Biljecki
doaj   +1 more source

Semantic-aware Workflow Construction and Analysis for Distributed Data Analytics Systems

IEEE International Symposium on High-Performance Parallel Distributed Computing, 2019
Logging is a universal approach to recording important events in system workflows of distributed systems. Current log analysis tools ignore the semantic knowledge that is key to workflow construction and analysis.
Aidi Pi, Wei Chen, Shaoqi Wang, Xiaobo Zhou   +3 more
semanticscholar   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

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, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Advances in Mathematical Models for AI-Based News Analytics

Mathematics
The exponential growth of digital news sources presents a critical challenge in efficiently processing and analyzing vast datasets to derive actionable insights.
Fahim Sufi
doaj   +1 more source

Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning

IEEE Open Journal of Engineering in Medicine and Biology, 2020
Goal: To present a framework for data sharing, curation, harmonization and federated data analytics to solve open issues in healthcare, such as, the development of robust disease prediction models.
Vasileios C. Pezoulas, Konstantina D. Kourou, Fanis Kalatzis, Themis P. Exarchos, Evi Zampeli, Saviana Gandolfo, Andreas Goules, Chiara Baldini, Fotini Skopouli, Salvatore De Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis   +11 more
doaj   +1 more source

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, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Visual analytics of taxi trajectory data via topical sub-trajectories

Visual Informatics, 2019
GPS-based taxi trajectories contain valuable knowledge about movement patterns for transportation and urban planning. Topic modeling is an effective tool to extract semantic information from taxi trajectory data.
Huan Liu, Sichen Jin, Yuyu Yan, Yubo Tao, Hai Lin   +4 more
doaj   +1 more source

An Infrastructure for Workplace Learning Analytics: Tracing Knowledge Creation with the Social Semantic Server

Journal of Learning Analytics, 2019
In this paper, we propose the Social Semantic Server (SSS) as a service-based infrastructure for workplace and professional learning analytics (LA).
Adolfo Ruiz-Calleja, Sebastian Maximilian Dennerlein, Dominik Kowald, Dieter Theiler, Elisabeth Lex, Tobias Ley   +5 more
semanticscholar   +1 more source