The role of Industry 4.0 technologies in manufacturing sustainability assessment
D Ramanujan, WZ Bernstein… - Journal of …, 2023 - asmedigitalcollection.asme.org
To understand the past successes and future opportunities for applying Industry 4.0
technologies toward manufacturing sustainability assessment, this state-of-the-art review …
technologies toward manufacturing sustainability assessment, this state-of-the-art review …
Engineering safety requirements for autonomous driving with large language models
Changes and updates in the requirement artifacts, which can be frequent in the automotive
domain, are a challenge for SafetyOps. Large Language Models (LLMs), with their …
domain, are a challenge for SafetyOps. Large Language Models (LLMs), with their …
aerobert-classifier: Classification of aerospace requirements using bert
The system complexity that characterizes current systems warrants an integrated and
comprehensive approach to system design and development. This need has brought about …
comprehensive approach to system design and development. This need has brought about …
aeroBERT-NER: Named-entity recognition for aerospace requirements engineering using BERT
View Video Presentation: https://doi. org/10.2514/6.2023-2583. vid Organizations
predominantly use natural language (NL) for requirements elicitation, development, and …
predominantly use natural language (NL) for requirements elicitation, development, and …
ASRS-CMFS vs. RoBERTa: Comparing Two Pre-Trained Language Models to Predict Anomalies in Aviation Occurrence Reports with a Low Volume of In-Domain …
S Kierszbaum, T Klein, L Lapasset - Aerospace, 2022 - mdpi.com
We consider the problem of solving Natural Language Understanding (NLU) tasks
characterized by domain-specific data. An effective approach consists of pre-training …
characterized by domain-specific data. An effective approach consists of pre-training …
Unlocking maintenance insights in industrial text through semantic search
Abstract Maintenance records in Computerized Maintenance Management Systems
(CMMS) contain valuable human knowledge on maintenance activities. These records …
(CMMS) contain valuable human knowledge on maintenance activities. These records …
Exploration of natural language processing (NLP) applications in aviation
As a result of the tremendous boost in computational power, the current prevalence of large
bodies of data, and the growing power of data-driven algorithms, natural language …
bodies of data, and the growing power of data-driven algorithms, natural language …
MWO2KG and Echidna: Constructing and exploring knowledge graphs from maintenance data
Unstructured technical texts are a rich resource of engineering knowledge underutilised for
data analysis. Maintenance work orders (MWO), for example, capture valuable information …
data analysis. Maintenance work orders (MWO), for example, capture valuable information …
Advancing multimodal diagnostics: Integrating industrial textual data and domain knowledge with large language models
The rapid advancement and application of large language models (LLMs) in various
domains prompt an investigation into their potential in the field of prognostics and health …
domains prompt an investigation into their potential in the field of prognostics and health …
A hybrid approach to near-miss report investigation towards next-generation safety solutions on-board ships
The human element is a key aspect of safety at sea. It is highlighted as the most contributing
factor to the various accidents, incidents, hazardous occurrences and near-miss events …
factor to the various accidents, incidents, hazardous occurrences and near-miss events …