Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Sukhwan Jung"'
Autor:
Aviv Segev, Sukhwan Jung
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0290326 (2023)
Knowledge processing has patterns which can be found in biological neuron activity and artificial neural networks. The work explores whether an underlying structure exists for knowledge which crosses domains. The results show common data processing p
Externí odkaz:
https://doaj.org/article/4d3fba04de77443c8b875aa119fa9685
Publikováno v:
Applied Sciences, Vol 10, Iss 7, p 2509 (2020)
Neurons are viewed as the basic cells that process and transmit information. Trees and neurons share a similar structure and neurotransmitter-like substances. No evidence for structures such as neurons, synapses, or a brain has been found inside plan
Externí odkaz:
https://doaj.org/article/aad11655de364805a2617497b2836e0b
Publikováno v:
PLoS ONE, Vol 11, Iss 7, p e0158590 (2016)
If the market has an invisible hand, does knowledge creation and representation have an "invisible brain"? While knowledge is viewed as a product of neuron activity in the brain, can we identify knowledge that is outside the brain but reflects the ac
Externí odkaz:
https://doaj.org/article/c8ef9df320054c51a9eb97bf35e88007
Autor:
Sukhwan Jung, Aviv Segev
Publikováno v:
Semantic Web. 13:423-439
Topic evolution helps the understanding of current research topics and their histories by automatically modeling and detecting the set of shared research fields in academic publications as topics. This paper provides a generalized analysis of the top
Autor:
Sukhwan Jung, Aviv Segev
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Autor:
Sukhwan Jung, Aviv Segev
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Autor:
Sukhwan Jung, Aviv Segev
Publikováno v:
Knowledge-Based Systems. 258:110020
Autor:
Sukhwan Jung, Aviv Segev
Publikováno v:
Journal of Informetrics. 16:101320
Technological developments are not isolated and are influenced not only by similar technologies but also by many entities, which are sometimes unforeseen by the experts in the field. The authors propose a method for identifying technology-relevant en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::801b30871ea90fcf3e539e590c81f367
Publikováno v:
IEEE BigData
Understanding the current research topics and their histories allow researchers to focus their capabilities on the current research trends. The field of topic evolution helps the understanding by automatically model and detect the set of shared resea