Results 61 to 70 of about 68,922 (259)
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
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
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
The context of this thesis is the collaboration between humans and machines in various industrial real-world situations. I propose collaboration mechanisms that are based on Human-centred Artificial Intelligence, which I define as methods and concepts of
Manitsaris, Sotiris
core +1 more source
Human-Machine Collaboration: Definitions, Models, and Socio-Economic Impacts
Human-Machine Collaboration (HMC) is a pivotal manifestation of collective intelligence in the digital age, where the synergistic interaction of humans, machines, and physical systems drives socio-economic evolution.
Jin Sun, Leiju Qiu
doaj +1 more source
Research on intelligent mission planning system based on human-machine cognitive collaboration [PDF]
To address challenges in intelligent mission planning, including subtask decomposition, battlefield event ambiguity, and ethical trade-offs, a system architecture based on human-machine cognitive collaboration is proposed.
TIAN Wei, GUO Zhiqiang
doaj +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Human–Machine Collaboration for Organizations: A Review
Intelligent robots are becoming more and more common in the workplace and in society as a result of the digital economy’s explosive growth. Human–machine collaboration (HM-C) has replaced human–machine coexistence and cooperation in the case of ...
Yadav, Manish, Tiwari, Saurabh
core +1 more source
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
To manage the process of human-machine safety collaboration in the context of intelligent construction of coal mines and prevent the occurrence of human-machine interaction accidents.
Xue Yang +5 more
doaj +1 more source

