Results 101 to 110 of about 2,114,184 (246)

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

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, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Edge AI Acceleration for Critical Systems: From FPGA Hardware to CGRA Technology

This work discusses advancements in edge AI processing for critical systems, focusing on satellites. We explore hardware solutions for real-time and autonomous data processing using Field Programmable Gate Arrays (FPGAs) and Coarse-Grained Reconfigurable
Pacini T., Nannipieri P., Monopoli M., Zulberti L., Bocchi T., Fanucci L.   +5 more
core  

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

Implementation of Zero-Shot Learning on Edge AI for Deterministic Interpretation of Electrical Metrics using Quantized Large Language Models

Sistemasi: Jurnal Sistem Informasi
Automatic interpretation of building electrical metric data is essential for assessing the reliability and suitability of electrical systems. The emergence of Large Language Models (LLMs) has created new opportunities to automate the inspection and ...
Salman Al Majali, Ganjar M Faisal, Novi Rukhviayanti   +2 more
doaj   +1 more source

Founding Editorial: Neuro‐Drug Discovery

Neuro-Drug Discovery, EarlyView.
Wenbin Li
wiley   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

An Edge AI System Framework Based on the Asset Administration Shell Standard

Systems
The manufacturing industry is rapidly moving toward Artificial Intelligence (AI)-driven autonomous manufacturing, which requires distributed Edge AI architectures in which intelligent devices collaborate in real time. However, the practical deployment of
Minjong Shin, Jae-Yoon Jung
doaj   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Edge AI : convergence of edge computing and artificial intelligence

, 2020
As an important enabler for changing peoples lives, advances in artiï¬ cial intelligence (AI)-based applications and services are on the rise, despite being hindered by efï¬ ciency and latency issues.
Leung, Victor C. M, Yan, Xueqiang, Niyato, Dusit, Wang, Xiaofei, Han, Yiwen, Chen, Xu   +5 more
core   +1 more source

Federated Learning-Oriented Edge Computing Framework for the IIoT

Sensors
With the maturity of artificial intelligence (AI) technology, applications of AI in edge computing will greatly promote the development of industrial technology. However, the existing studies on the edge computing framework for the Industrial Internet of
Xianhui Liu, Xianghu Dong, Ning Jia, Weidong Zhao   +3 more
doaj   +1 more source