Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Anuoluwapo O. Ajayi"'
Publikováno v:
Machine Learning with Applications, Vol 6, Iss , Pp 100158- (2021)
Although advanced machine learning algorithms are predominantly used for predicting outcomes in many fields, their utilisation in predicting incident outcome in construction safety is still relatively new. This study harnesses Big Data with Deep Lear
Externí odkaz:
https://doaj.org/article/2e46f9091fc744ef840f358939405326
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:
Energy and AI, Vol 1, Iss , Pp 100005- (2020)
With the depletion of fossil fuel and climate change, multi-energy systems have attracted widespread attention in buildings. Multi-energy systems, fuelled by renewable energy, including solar and biomass energy, are gaining increasing adoption in com
Externí odkaz:
https://doaj.org/article/f99dc27ba5b648d1854df8c22bd5a061
Autor:
Azeez A. Oyedele, Anuoluwapo O. Ajayi, Lukumon O. Oyedele, Sururah A. Bello, Kudirat O. Jimoh
Publikováno v:
Expert Systems with Applications. 213:119233
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
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:
Computers and Electronics in Agriculture. 200:107266
The advent of digital technologies has brought substantial improvements in various domains. This article provides a comprehensive review of research emphasizing AI-enabled IoT applications in poultry health and welfare management. This study focused
Publikováno v:
Energy Research & Social Science. 54:113-116
The unavailability of tangible policy benchmarks continues to mitigate against sustainable electrification in the global south. Furthermore, incoherent policy benchmarks as to what should constitute clean energy allow for varying interpretations and
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:
Michael O. Obolo, Serestina Viriri, Absalom E. Ezugwu, Aderemi Oluyinka Adewumi, Lukumon O. Oyedele, Olugbenga O. Akinade, Kingsley O. Akpeji, Olubayo Moses Babatunde, Daniel Akinyele, Joshua C. Onunwor, Anuoluwapo O. Ajayi, Chukwuka G. Monyei
Publikováno v:
Sustainable Cities and Society. 45:172-186
In mitigating against energy poverty in Nigeria, research interest has focused mainly on electricity access and reduced electricity bills for low/medium income households. However, energy poverty in the global south is not only a problem of access bu