Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Juan Manuel Davila Delgado"'
Autor:
Ari Yair Barrera-Animas, Lukumon O. Oyedele, Muhammad Bilal, Taofeek Dolapo Akinosho, Juan Manuel Davila Delgado, Lukman Adewale Akanbi
Publikováno v:
Machine Learning with Applications, Vol 7, Iss , Pp 100204- (2022)
Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood forecasting and monitoring of pollutant concentration levels, among others. Existing models use complex statis
Externí odkaz:
https://doaj.org/article/1a13908ff72e44c0bc20b21c4318b446
Autor:
X.J. Luo, Lukumon O. Oyedele, Anuoluwapo O. Ajayi, Olugbenga O. Akinade, Juan Manuel Davila Delgado, Hakeem A. Owolabi, Ashraf Ahmed
Publikováno v:
Energy and AI, Vol 2, Iss , Pp 100015- (2020)
A genetic algorithm-determined deep feedforward neural network architecture (GA-DFNN) is proposed for both day-ahead hourly and week-ahead daily electricity consumption of a real-world campus building in the United Kingdom. Due to the comprehensive r
Externí odkaz:
https://doaj.org/article/39179908ac074ba8b727604ca2c00c09
Publikováno v:
Automation in Construction. 151:104850
Publikováno v:
Journal of Engineering, Design and Technology. 18:1269-1285
Purpose The purpose of this paper is to review and provide recommendations to extend the current open standard data models for describing monitoring systems and circular economy precepts for built assets. Open standard data models enable robust and e
Autor:
Anuoluwapo O. Ajayi, Lukumon O. Oyedele, Sofiat Abioye, Olugbenga O. Akinade, Juan Manuel Davila Delgado, Muhammad Bilal, Ashraf Ahmed, Lukman Akanbi
© 2021 The Authors. The growth of the construction industry is severely limited by the myriad complex challenges it faces such as cost and time overruns, health and safety, productivity and labour shortages. Also, construction industry is one the le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7b2d9ee1971614facd7307ce5be366c
Large datasets are necessary for deep learning as the performance of the algorithms used increases as the size of the dataset increases. Poor data management practices and the low level of digitisation of the construction industry represent a big hur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d61b0c959f5c037b672c8d8185d03c5
Autor:
Ahmed Oyedele, Olugbenga O. Akinade, Juan Manuel Davila Delgado, Hakeem A. Owolabi, Muhammad Bilal, Lukumon O. Oyedele, Lukman Akanbi, Anuoluwapo O. Ajayi
Electrical injury impacts are substantial and massive. Investments in electricity will continue to increase, leading to construction project complexities, which undoubtedly contribute to injuries and associated effects. Machine learning (ML) algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdb8b29300d3c359df6ac636c5575682
Publikováno v:
Advanced Engineering Informatics. 54:101787
Autor:
Muhammad Bilal, Hakeem A. Owolabi, Lukumon O. Oyedele, Lukman Akanbi, Kamil Omoteso, Olugbenga O. Akinade, Juan Manuel Davila Delgado, Anuoluwapo O. Ajayi
Publikováno v:
Journal of Cleaner Production. 223:386-396
Despite the relevance of building information modelling for simulating building performance at various life cycle stages, Its use for assessing the end-of-life impacts is not a common practice. Even though the global sustainability and circular econo
Autor:
Olugbenga O. Akinade, Anuoluwapo O. Ajayi, Naimah Mohammed-Yakub, Muhammad Bilal, Juan Manuel Davila Delgado, Lukman Akanbi, Lukumon O. Oyedele
Publikováno v:
World Journal of Science, Technology and Sustainable Development. 16:40-55
Purpose In a circular economy, the goal is to keep materials values in the economy for as long as possible. For the construction industry to support the goal of the circular economy, there is the need for materials reuse. However, there is little or