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Mazen A. Al-Sinan, Abdulaziz A. Bubshait and Zainab Aljaroudi
Recent advancements in machine learning (ML) applications have set the stage for the development of autonomous construction project scheduling systems. This study presents a blueprint to demonstrate how construction project schedules can be generated aut...
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Mariann Merz, Dário Pedro, Vasileios Skliros, Carl Bergenhem, Mikko Himanka, Torbjørn Houge, João P. Matos-Carvalho, Henrik Lundkvist, Baran Cürüklü, Rasmus Hamrén, Afshin E. Ameri, Carl Ahlberg and Gorm Johansen
Emerging precision agriculture techniques rely on the frequent collection of high-quality data which can be acquired efficiently by unmanned aerial systems (UAS). The main obstacle for wider adoption of this technology is related to UAS operational costs...
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Nikolay Vereshchaka
Pág. 31 - 39
The subject of the research is the means of determining the optimal set of parameters for the products of infrastructure projects. The aim of the study is to increase the efficiency of the implementation of infrastructure projects through the use of the ...
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Mark Madsen,Iain Fogg,Clive Ruggles
Metadata systems are concerned with the management of data which describes other data, whether datasets, catalogues or entire database management systems. Metadata systems can be used to store richly detailed forms of information, perform seamless wide-r...
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