Zobrazeno 1 - 10
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pro vyhledávání: '"Taiwo, A"'
Bayesian optimization devolves the global optimization of a costly objective function to the global optimization of a sequence of acquisition functions. This inner-loop optimization can be catastrophically difficult if it involves posterior sample pa
Externí odkaz:
http://arxiv.org/abs/2410.22322
Thompson sampling (TS) is a simple, effective stochastic policy in Bayesian decision making. It samples the posterior belief about the reward profile and optimizes the sample to obtain a candidate decision. In continuous optimization, the posterior o
Externí odkaz:
http://arxiv.org/abs/2410.08071
Graph embeddings play a critical role in graph representation learning, allowing machine learning models to explore and interpret graph-structured data. However, existing methods often rely on opaque, high-dimensional embeddings, limiting interpretab
Externí odkaz:
http://arxiv.org/abs/2410.01778
Nonreciprocal thermal emitters that break Kirchhoff's law of thermal radiation promise exciting applications for thermal and energy applications. The design of the bandwidth and angular range of the nonreciprocal effect, which directly affects the pe
Externí odkaz:
http://arxiv.org/abs/2409.09192
Autor:
Saka, Abdullahi, Taiwo, Ridwan, Saka, Nurudeen, Oluleye, Benjamin, Dauda, Jamiu, Akanbi, Lukman
Effective management of construction and demolition waste (C&DW) is crucial for sustainable development, as the industry accounts for 40% of the waste generated globally. The effectiveness of the C&DW management relies on the proper quantification of
Externí odkaz:
http://arxiv.org/abs/2407.14847
Publikováno v:
ASME. J. Comput. Inf. Sci. Eng. October 2024; 24(10): 100801
Digital twin (DT) technology has received immense attention over the years due to the promises it presents to various stakeholders in science and engineering. As a result, different thematic areas of DT have been explored. This is no different in spe
Externí odkaz:
http://arxiv.org/abs/2403.02426
Bayesian optimization (BO) has become a powerful tool for solving simulation-based engineering optimization problems thanks to its ability to integrate physical and mathematical understandings, consider uncertainty, and address the exploitation-explo
Externí odkaz:
http://arxiv.org/abs/2403.00540
Autor:
Taiwo, Ridwan, Bello, Idris Temitope, Abdulai, Sulemana Fatoama, Yussif, Abdul-Mugis, Salami, Babatunde Abiodun, Saka, Abdullahi, Zayed, Tarek
The construction industry is a vital sector of the global economy, but it faces many productivity challenges in various processes, such as design, planning, procurement, inspection, and maintenance. Generative artificial intelligence (AI), which can
Externí odkaz:
http://arxiv.org/abs/2402.09939
Topological Data Analysis (TDA) has been praised by researchers for its ability to capture intricate shapes and structures within data. TDA is considered robust in handling noisy and high-dimensional datasets, and its interpretability is believed to
Externí odkaz:
http://arxiv.org/abs/2401.04250
Publikováno v:
Journal of Hospitality and Tourism Technology, 2024, Vol. 15, Issue 5, pp. 808-824.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JHTT-10-2023-0307