Forecasting Construction Equipment Productivity Based on Weather Conditions: A Data-Driven Time-Series Machine Learning Approach

dc.contributor.author	Assaf, Sena
dc.contributor.author	Sawma Awad, Johnny
dc.contributor.author	Srour, Issam
dc.date.accessioned	2026-08-20T11:50:28Z
dc.date.available	2026-08-20T11:50:28Z
dc.date.copyright	2025/11/11
dc.date.issued	2026
dc.identifier.other	JMENEA.MEENG-7068.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4312744
dc.description.abstract	AbstractAccurate forecasting of construction equipment productivity is crucial for effectively planning and controlling construction resources. Traditional approaches often rely on data from previous projects and the subjective experience of project ...
dc.publisher	American Society of Civil Engineers
dc.title	Forecasting Construction Equipment Productivity Based on Weather Conditions: A Data-Driven Time-Series Machine Learning Approach
dc.type	Journal Article
dc.journal.volume	42
dc.journal.issue	1
dc.journal.title	Journal of Management in Engineering
dc.identifier.doi	10.1061/JMENEA.MEENG-7068
dc.journal.fristpage	04025061-1
dc.journal.lastpage	04025061-15
dc.page	15
dc.tree	Journal of Management in Engineering:;2026:;Volume ( 042 ):;issue: 001
dc.contenttype	Fulltext