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pro vyhledávání: '"Owolabi, A."'
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The Paris Agreement, signed in 2015, sets ambitious goals for diminishing greenhouse gas emissions and restricting the rise in global temperature to achieve a less carbon-intensive and climate-resilient global economy. The Paris Agreement ma
The Paris Agreement, signed in 2015, sets ambitious goals for diminishing greenhouse gas emissions and restricting the rise in global temperature to achieve a less carbon-intensive and climate-resilient global economy. The Paris Agreement ma
Externí odkaz:
http://hdl.handle.net/10454/20033
Publikováno v:
Academy Journal of Science and Engineering, Vol 18, Iss 1, Pp 108-117 (2024)
Perovskite photovoltaics is one of the fastest growing research field in materials science. The effect of caffeine in the absorber structure of the PSCs was studied systematically in this study. Caffeine was added at different concentration ratio of
Externí odkaz:
https://doaj.org/article/113f1c6f7964435fa805348bca224fc0
Autor:
Akpan, Ikpe Justice, Kobara, Yawo M., Owolabi, Josiah, Akpam, Asuama, Offodile, Onyebuchi Felix
Artificial intelligence (AI) as a disruptive technology is not new. However, its recent evolution, engineered by technological transformation, big data analytics, and quantum computing, produces conversational and generative AI (CGAI/GenAI) and human
Externí odkaz:
http://arxiv.org/abs/2407.12004
Publikováno v:
International Journal of Organizational Analysis, 2023, Vol. 32, Issue 9, pp. 2067-2092.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJOA-05-2023-3772
Publikováno v:
IIMT Journal of Management, 2024, Vol. 1, Issue 2, pp. 186-215.
Autor:
Emmanuel, Yinka Lydia1, Owolabi, Oluwasikemi Janet2, Owolabi, Babatunde Ayodeji3, Kwarbai, Jerry D.3, Akinbode, James Olalekan4, Olasupo, Sunday Festus1, Kolawole, Isiaka Olayinka5, Otekunrin, Adegbola Olubukola1 adegbola.otekunrin@bowen.edu.ng
Publikováno v:
International Journal of Energy Economics & Policy (IJEEP). 2024, Vol. 14 Issue 5, p98-108. 11p. 1 Chart.
Publikováno v:
SAM Advanced Management Journal, 2024, Vol. 89, Issue 1, pp. 57-73.
Autor:
Owolabi, Olukunle
Early detection of power outages is crucial for maintaining a reliable power distribution system. This research investigates the use of transfer learning and language models in detecting outages with limited labeled data. By leveraging pretraining an
Externí odkaz:
http://arxiv.org/abs/2305.17817
We present pytest-inline, the first inline testing framework for Python. We recently proposed inline tests to make it easier to test individual program statements. But, there is no framework-level support for developers to write inline tests in Pytho
Externí odkaz:
http://arxiv.org/abs/2305.13486
Turbulent pipe flow is still an essentially open area of research, boosted in the last two decades by considerable progress achieved both on the experimental and numerical frontiers, mainly related to the identification and characterization of cohere
Externí odkaz:
http://arxiv.org/abs/2301.11210