PriMa: a prescriptive maintenance model for cyber-physical production systems

F Ansari, R Glawar, T Nemeth - International Journal of Computer …, 2019 - Taylor & Francis
Cyber-physical production systems (CPPS), as an emerging Industry 4.0's technology,
trigger a paradigm shift from descriptive to prescriptive maintenance. In particular …

Characterization of citizens using word2vec and latent topic analysis in a large set of tweets

V Vargas-Calderón, JE Camargo - Cities, 2019 - Elsevier
With the increasing use of the Internet and mobile devices, social networks are becoming
the most used media to communicate citizens' ideas and thoughts. This information is very …

Cost-based text understanding to improve maintenance knowledge intelligence in manufacturing enterprises

F Ansari - Computers & Industrial Engineering, 2020 - Elsevier
Improving maintenance knowledge intelligence using text data has not been largely
explored in the literature of production and engineering management. The state-of-the-art …

An ontology-based approach for the semantic representation of job knowledge

M Khobreh, F Ansari, M Fathi, R Vas… - … on Emerging Topics …, 2015 - ieeexplore.ieee.org
The essential and significant components of one's job performance, such as facts, principles,
and concepts are considered as job knowledge. This paper provides a framework for forging …

Knowledge discovery in multidimensional knowledge representation framework: An integrative approach for the visualization of text analytics results

J Zenkert, A Klahold, M Fathi - Iran Journal of Computer Science, 2018 - Springer
Visualization of results is one of the central challenges in big data analytics and integrative
text mining. With a growing amount of unstructured data and different perspectives on big …

Keyword based tweet extraction and detection of related topics

A Benny, M Philip - Procedia Computer Science, 2015 - Elsevier
Twitter is a micro blogging site that helps the transfer of information as short length tweets.
The large quantum of information makes it necessary to find out methods and tools to …

Sentiment analysis in financial markets A framework to utilize the human ability of word association for analyzing stock market news reports

P Uhr, J Zenkert, M Fathi - 2014 IEEE International Conference …, 2014 - ieeexplore.ieee.org
As financial markets getting faster and more complex, it is difficult for market participants to
manage the information overload. Sentiment analysis is a useful text mining method to …

[HTML][HTML] SSKG: Subject stream knowledge graph, a new approach for event detection from text

P Gholami-Dastgerdi, MR Feizi-Derakhshi… - Ain Shams Engineering …, 2024 - Elsevier
Events play a crucial role in shaping societal meaning and discourse. They are recorded in
text data streams from social networks or online sources and analyzing them is vital for …

Improving CBR adaptation for recommendation of associated references in a knowledge-based learning assistant system

S Nasiri, J Zenkert, M Fathi - Neurocomputing, 2017 - Elsevier
Case adaptation is a challenging phase of case-based reasoning (CBR) for
recommendation of a matched case solution. Our proposed knowledge-based …

[图书][B] Computer aided writing

A Klahold, M Fathi - 2020 - Springer
This book deals with “Computer Aided Writing”, CAW for short. The contents of that is a
sector of Knowledge based technics and Knowledge Management. The role of Knowledge …