Essays about: "Smart planning and construction"
Showing result 1 - 5 of 14 essays containing the words Smart planning and construction.
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1. Reprocessing weather data from Smart Stake weather stations on the Greenland ice sheet
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : To identify a climate trend, a lot of data is required for the conclusion to be accurate. A trend can require 30 years worth of measurements in order to say anything with certainty about how the climate is changing. It is therefore important to utilize every source of data in climate research. READ MORE
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2. Data-Driven Success in Infrastructure Megaprojects. : Leveraging Machine Learning and Expert Insights for Enhanced Prediction and Efficiency
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This Master's thesis utilizes random forest and leave-one-out cross-validation to predict the success of megaprojects involving infrastructure. The goal was to enhance the efficiency of the design and engineering phase of the infrastructure and construction industries. READ MORE
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3. Mamlets - A Sustainable Parklet Network in Malmö, Sweden
University essay from Lunds universitet/Institutionen för arkitektur och byggd miljöAbstract : Today cities are the result of centuries of history and human development, accelerated during the past 100 years. Post-industrialization, modernism’s top-down city planning approach, and the prioritisation of motor vehicle design over humans resulted in more people moving to cities, more space needed to allocate new vehicles, expansion over rural areas, and exponential pollution growth. READ MORE
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4. Smart design and production planning for drying of concrete slabs in high-rise buildings
University essay from KTH/Hållbara byggnaderAbstract : The Swedish concrete industry is struggling to improve the design of the concrete mixturesand produce new types of binders to reduce the negative effects on the environment due tothe relatively high carbon dioxide emissions during the manufacturing process. Theseaccelerated efforts create new challenges for the construction companies due to the lack ofknowledge about the moisture performance of these new concrete mixtures and the impactson the drying process of the concrete slabs, where the concrete drying process is oftencritical to the project schedule. READ MORE
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5. Integration of Digital Twin and Deep Learning for facilitating Smart Planning and Construction: An Exploratory Analysis
University essay from Jönköping University/JTH, Byggnadsteknik och belysningsvetenskapAbstract : The Architecture, Engineering, and Construction (AEC) industry is known to be overwhelmed with resource planning, risk management, and logistic challenges, resulting in design defects, project delivery delays, cost overruns, and contractual disputes. These challenges have instigated research in the application of advanced machine learning algorithms such as Deep learning (DL) to help with diagnostic and prescriptive analysis of causes and preventive measures. READ MORE
