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Carsten Maple

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Uchenna Ani

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Publications

2023
[j104]
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  - journals/simpra/EpiphaniouHYMA23
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  - https://dblp.org/rec/journals/simpra/EpiphaniouHYMA23
Gregory Epiphaniou, Mohammad Hammoudeh, Hu Yuan, Carsten Maple, Uchenna Ani:
Digital twins in cyber effects modelling of IoT/CPS points of low resilience. Simul. Model. Pract. Theory 125: 102744 (2023)
[i45]
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  - journals/corr/abs-2301-10028
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  - https://dblp.org/rec/journals/corr/abs-2301-10028
Petar Radanliev, David De Roure, Carsten Maple, Uchenna Ani:
Super forecasting the technological singularity risks from artificial intelligence. CoRR abs/2301.10028 (2023)
2022
[j94]
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  - journals/aiethics/RadanlievRMA22
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  - https://dblp.org/rec/journals/aiethics/RadanlievRMA22
Petar Radanliev, David De Roure, Carsten Maple, Uchenna Ani:
Methodology for integrating artificial intelligence in healthcare systems: learning from COVID-19 to prepare for Disease X. AI Ethics 2(4): 623-630 (2022)
[j90]
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  - journals/evs/RadanlievRMA22
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  - https://dblp.org/rec/journals/evs/RadanlievRMA22
Petar Radanliev, David De Roure, Carsten Maple, Uchenna Ani:
Super-forecasting the 'technological singularity' risks from artificial intelligence. Evol. Syst. 13(5): 747-757 (2022)
[i27]
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  - journals/corr/abs-2208-07965
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  - https://dblp.org/rec/journals/corr/abs-2208-07965
Uchenna Daniel Ani, Jeremy D. McK. Watson, Nilufer Tuptuk, Steve Hailes, Madeline Carr, Carsten Maple:
Improving the Cybersecurity of Critical National Infrastructure using Modelling and Simulation. CoRR abs/2208.07965 (2022)
2019
[i6]
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  - journals/corr/abs-1904-01551
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  - https://dblp.org/rec/journals/corr/abs-1904-01551
Uchenna Daniel Ani, Jeremy D. McK. Watson, Jason R. C. Nurse, Al Cook, Carsten Maple:
A Review of Critical Infrastructure Protection Approaches: Improving Security through Responsiveness to the Dynamic Modelling Landscape. CoRR abs/1904.01551 (2019)

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