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GraFar - Repository of the Faculty of Civil Engineering
Faculty of Civil Engineering of the University of Belgrade
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GraFar
GraFar
Катедра за управљање пројектима у грађевинарству
Browsing by Titles
GraFar
GraFar
Катедра за управљање пројектима у грађевинарству
Browsing by Titles
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Titles
CFD simulation of thermal performances of building structure with expanded polystyrene (EPS) as thermal insulation
[1]
Circular Economy in Construction and Demolition Waste Management in the Western Balkans: A Sustainability Assessment Framework
[1]
Claim management according to PMI standard
[1]
CLAIMS ON CONSTRUCTION PROJECTS – QUANTIFICATION AND PREVENTION
[1]
Comparison of Performance-Based and Traditional Road Maintenance Contracts
[1]
Compensating the lack of big data in construction industry with expert knowledge: a case study
[1]
Composite structural members in fire conditions and measures of protection
[1]
Computational design and analysis of tensegrity structures
[1]
Construction cost estimation of reinforced and prestressed concrete bridges using machine learning
[1]
Construction technology and quality control of works on Atlas Capital Center
[1]
Cost-oriented analysis of fibre reinforced concrete column-supported flat slabs construction
[1]
COVID-19 Struggle and Post-COVID-19 Recovery: Exploring the Governance, Success, and Digital Transition in Construction Projects in Serbia
[1]
Critical risks in Serbian infrastructure projects
[1]
Current Serbian design codes: Transferring from a deterministic to a semi- probabilistic approach
[1]
Current strategy for highway construction in the Republic of Serbia
[1]
Data-Driven Housing Damage and Repair Cost Prediction Framework Based on The 2010 Kraljevo Earthquake Data
[1]
Database for management of concrete batch plant work
[1]
Design and construction processes integration based project management system for housing projects
[1]
Detecting Concepts in Construction Project Documents using Statistical Measures for Semantic Similarity
[1]
Detection and In-Depth Analysis of Causes of Delay in Construction Projects: Synergy between Machine Learning and Expert Knowledge
[1]
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