Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Akilu Yunusa‐Kaltungo"'
Autor:
Ashraf Alghanmi, Akilu Yunusa-Kaltungo
Publikováno v:
Energy and Built Environment, Vol 5, Iss 6, Pp 911-932 (2024)
Fault detection and diagnosis (FDD) approaches comprise three main pillars: model-based, knowledge-based, and data-driven strategies. Data-driven approaches prioritise operational data and do not necessitate in-depth understanding of the system's bac
Externí odkaz:
https://doaj.org/article/19f07991bd224dbc92745b24a5599f90
Autor:
Raphael Ricardo Zepon Tarpani, Akilu Yunusa-Kaltungo, Meini Su, Patrick Manu, Clara Man Cheung, Michael Watson, Paul Ladislaus, Alejandro Gallego-Schmid
Publikováno v:
Cleaner Environmental Systems, Vol 14, Iss , Pp 100206- (2024)
Cement production significantly contributes to climate change, necessitating alternatives to mitigate the environmental impacts of this essential construction material. This study evaluates 18 environmental impacts of producing Ordinary Portland Ceme
Externí odkaz:
https://doaj.org/article/4936aed61bcf454ab9e810e374b0d32a
Autor:
Lutong Li, Pu Yuan, Yuan Tang, Glen Cooper, Simon Thurlbeck, Clara Man Cheung, Patrick Manu, Akilu Yunusa-Kaltungo, Andrew Weightman
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e29697- (2024)
This paper aims to identify construction robotics' potential to reduce airborne virus transmission, review factors limiting the technology's adoption and highlight how similar barriers have been addressed in other industries. Construction robotics we
Externí odkaz:
https://doaj.org/article/aa91d0cedca24039a87b37647eb981d9
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 3643-3660 (2023)
Artificial Intelligence methods (AI) have been widely applied in building energy consumption prediction. As data-intensive methods, lacking sufficient input features will significantly impede prediction performance. For some buildings where the build
Externí odkaz:
https://doaj.org/article/439f8980bef04d65b20b2bc4713a9750
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 14673-14698 (2022)
Worldwide, buildings consume a large amount of energy, and a significant share of this energy is wasted due to system degradation, inappropriate control systems and improper maintenance activities. Fortunately, buildings have become data-intensive, w
Externí odkaz:
https://doaj.org/article/5111eabfe81944169663bf3d7ea3c2e7
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 13621-13654 (2022)
Building energy management systems (BEMS) have somewhat standardised building energy consumption data formats, thereby enhancing their compatibility with the relevant ML-based prediction algorithms. However, data shortage remains a significant limite
Externí odkaz:
https://doaj.org/article/22bdb7083ed842c7a81a6f1d0bd8db81
Publikováno v:
Engineering Reports, Vol 5, Iss 7, Pp n/a-n/a (2023)
Abstract Engineering students hardly allocate equal level of engagement to their management units, even when such units are very complex or whether the teacher is from within or outside engineering disciplines, which often reduces student engagement
Externí odkaz:
https://doaj.org/article/f85b502e0d014a78a80051ff5eae5976
Autor:
Frederick Appoh, Akilu Yunusa-Kaltungo
Publikováno v:
IEEE Access, Vol 10, Pp 24587-24600 (2022)
Comprehensive risk assessment plays a significant role in railway rolling stock safety planning to prevent accidents, including rail derailment and collision. Several methods of evaluating individual sources of railway system risk, ranging from human
Externí odkaz:
https://doaj.org/article/ff967b7c2a9e4e9f8928d00c311dfeb3
Autor:
Lar English, Akilu Yunusa‐Kaltungo
Publikováno v:
Engineering Reports, Vol 4, Iss 12, Pp n/a-n/a (2022)
Abstract The ability of a company to prioritize work orders is an essential part of managing work which in turn is vital when it comes to delivering maintenance services. The authors have drafted a tutorial paper that outlines a real‐world applicat
Externí odkaz:
https://doaj.org/article/a051a04bdbef4a0190e10bc4f3a832b4
Publikováno v:
Engineering Reports, Vol 4, Iss 6, Pp n/a-n/a (2022)
Abstract A correctly compiled asset register within an asset information management system (AIMS) provides the foundation for a successful asset data solution. The lack of correctly structured asset registers within organizations is acknowledged amon
Externí odkaz:
https://doaj.org/article/31f1fe505c5a4ec4bb468971f436287c