CHEONG Siew Ann

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1 to 10 of 815 Results

Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales Nov 11, 2026 Cheong, Siew Ann, 2026, "Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales", https://doi.org/10.21979/N9/QGEKIE, DR-NTU (Data), V1 Secondary data and Python codes used in the analysis of journal and conference publications found using the 'artificial intelligence' and 'neural network' keywords.
adjacencyMatrix.R Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales R Syntax - 431 B - MD5: dbefb039b0c078f6d85fc7e2d0149a24
BANull.py Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales Python Source Code - 742 B - MD5: 7f59333edb162abafa5fba5de51d0246 Python script to generate extended BA networks for different p and q
BettiNmodel.py Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales Python Source Code - 9.4 KB - MD5: 9c070e5f6a140f5e945e6cb8c029258a Python script to plot how the Betti numbers vary with number of nodes in the extended BA model
BettiNnew.py Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales Python Source Code - 3.1 KB - MD5: 4a14127d8540d219baf51d4df9d6ff72 Python script to plot how the Betti numbers vary with number of nodes in the extended BA model
BettiN.py Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales Python Source Code - 4.2 KB - MD5: 70f985de3221fe52decdfab0cf10642a Python script to plot how the Betti numbers vary with number of nodes in the data
convert_bib_to_dataframe.R Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales R Syntax - 229 B - MD5: 56206eb8e97357111dd673196caf1568
Instruction.txt Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales Plain Text - 618 B - MD5: 1d407489d7d9bc8332f84f42737dca30
ORC.py Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales Python Source Code - 765 B - MD5: 7161a98aea8ea076eaa4f2c66b115765
visualizationBCN.py Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales Python Source Code - 3.7 KB - MD5: a287cf9d1a222970babcb2c8926b618b

Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales

Nov 11, 2026

Cheong, Siew Ann, 2026, "Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales", https://doi.org/10.21979/N9/QGEKIE, DR-NTU (Data), V1

Secondary data and Python codes used in the analysis of journal and conference publications found using the 'artificial intelligence' and 'neural network' keywords.

adjacencyMatrix.R

Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales

R Syntax - 431 B -

BANull.py

Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales

Python Source Code - 742 B -

Python script to generate extended BA networks for different p and q

BettiNmodel.py

Nov 11, 2026 - Complex Dynamics of Artificial Intelligence Research: Topological and Geometrical Characterization across Multiple Length Scales

Python Source Code - 9.4 KB -

Python script to plot how the Betti numbers vary with number of nodes in the extended BA model

BettiNnew.py