Results 81 to 90 of about 2,236,896 (335)

SemanticFusion: Dense 3D semantic mapping with convolutional neural networks [PDF]

IEEE International Conference on Robotics and Automation, 2016
Ever more robust, accurate and detailed mapping using visual sensing has proven to be an enabling factor for mobile robots across a wide variety of applications. For the next level of robot intelligence and intuitive user interaction, maps need to extend
J. McCormac, Ankur Handa, A. Davison, Stefan Leutenegger   +3 more
semanticscholar   +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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Upgrading Relational Legacy Data to eh Semantic Web [PDF]

, 2006
In this poster, we describe a framework composed of the R2O mapping language and the ODEMapster processor to upgrade relational legacy data to the Semantic Web.
Barrasa Rodríguez, Jesús, Gómez-Pérez, A.   +1 more
core   +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

Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function

Entropy
Semantic communication has recently gained significant attention in theoretical analysis due to its potential to improve communication efficiency by focusing on meaning rather than exact signal reconstruction. In this paper, we extend the Blahut–Arimoto (
Yuxin Han, Yang Liu, Yaping Sun, Kai Niu, Nan Ma, Shuguang Cui, Ping Zhang   +6 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

Semantic SLAM using laser-vision data fusion: Enhancing autonomous navigation in unstructured environments

Alexandria Engineering Journal
The increasing complexity of autonomous navigation environments has necessitated the integration of multi-sensor data into Simultaneous Localisation and Mapping (SLAM) algorithms, as reliance on single-sensor data has proven insufficient. Recent research
Ning Chen, Dong Wei, Dongsheng Lin, Linhan Lin   +3 more
doaj   +1 more source

A community based approach for managing ontology alignments [PDF]

, 2008
The Semantic Web is rapidly becoming a defacto distributed repository for semantically represented data, thus leveraging on the added on value of the network effect.
Alani, Harith, Correndo, Gianluca, Smart, Paul R   +2 more
core   +1 more source

DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments

, 2018
Simultaneous Localization and Mapping (SLAM) is considered to be a fundamental capability for intelligent mobile robots. Over the past decades, many impressed SLAM systems have been developed and achieved good performance under certain circumstances ...
Fei, Qiao, Liu, Xinjun, Liu, Zuxin, Wei, Qi, Xie, Fugui, Yang, Yi, Yu, Chao   +6 more
core   +1 more source

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
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