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Using of ash and slag from power plants for embankments construction
(International Scientific Conference EMMFT 2018, 2018)
This paper presents the results of laboratory research of physical and
mechanical properties of fly ash and mixtures of fly ash and slag from landfills of
thermal power plants “Nikola Tesla” and “Kostolac” in terms of ...
Dinamičke karakteristike tla
(Vibracije od saobraćaja: nastanak, merenje, predviđanje i procena njihovog dejstva na objekte i ljude, 2017)
An Integrated Approach to Landslides Risk Management for Local and National Authorities
(Springer, Cham, 2023)
The University of Belgrade, Faculty of Mining and Geology has been involved in landslide risk reduction activities at the national, regional, and site-specific levels in Serbia for decades. Since 2011 the Faculty has had ...
Landslide Susceptibility Analysis of Belgrade City Area
(Cham: Springer International Publishing, 2014)
Multihazard Exposure Assessment on the Valjevo City Road Network
(Elsevier, 2019)
From landslide inventory to landslide risk assessment: methodology, current practice, and challenges
(Macedonian Geological Society, Skopje, 2016)
Concepts for improving machine learning based landslide assessment
(Springer Netherlands, 2019)
The main idea of this chapter is to address some of the key issues that were recognized in Machine Learning (ML) based Landslide Assessment Modeling (LAM). Through the experience of the authors, elaborated in several case ...
Development of new composites made of waste materials for wood pallet element
(Springer International Publishing, 2017)
The recycling of waste products and its further use for new products is of the utmost importance nowadays. The quantities of waste product originating from industries involving plastics, paper, wood, textile and metal ...
Machine Learning and Landslide Assessment in a GIS Environment
(Cham: Springer International Publishing, 2018)
This chapter introduces theoretical and practical aspects for applying GIS and geocomputation methods in landslide assessment problems. Machine Learning techniques in combination with GIS are proven useful for computation ...
Mechanism and Dynamics of Umka Landslide, Belgrade, Serbia
(Cham: Springer International Publishing, 2014)