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Special-purpose river-port sediment valorization as road construction material emphasizing environmental aspects
(Romanian Journal of Transport Infrastructure, 2020)
Special-purpose river port sediment was investigated for its potential use as a road
construction material. Sediment samples were extracted from three locations in three small
river ports, and detailed laboratory research ...
Determination of Mohr-Coulomb Parameters for Modelling of Concrete
(Crystals / MDPI, 2020)
Cohesion is defined as the shear strength of material when compressive stress is zero. This article presents a new method for the experimental determination of cohesion at pre-set angles of shear deformation. Specially ...
The measurement of inclination on gravity concrete dams using the tiltmeter instrument / Merenje nagiba kod gravitacionih betonskih brana primenom instrumenta tiltmetar
(Savez inženjera i tehničara Srbije, Beograd, 2015)
The measurement of inclination on gravity concrete dams using the instrument tiltmeter is described and discussed with special reference on obtained results on the dam 'Đerdap 2' acquired in the three years period. Tiltmetar ...
The alternatives to traditional materials for subsoil stabilization and embankments
(MDPI, 2019)
Major infrastructure projects require significant amount of natural materials, often followed by the soft soil stabilization using hydraulic binders. This paper presents the results of a laboratory study of alternative ...
Using Historical Aerial Photography in Landslide Monitoring: Umka Case Study, Serbia
(MDPI, Basel, Switzerland, 2022)
The application of remote sensing methods provides useful information that can be used for numerous research. Thus, spatial changes in soil, vegetation, hydrography and such can be analyzed. By analyzing the data obtained ...
Landslide susceptibility assessment using SVM machine learning algorithm
(Engineering Geology, 2011)
This paper introduces the current machine learning approach to solving spatial modeling problems in the domain of landslide susceptibility assessment. The latter is introduced as a classification problem, having multiple ...
Application of geophysical and multispectral imagery data for predictive mapping of a complex geo‑tectonic unit: a case study of the East Vardar Ophiolite Zone, North‑Macedonia
(Springer-Verlag GmbH Germany, 2024)
The Random Forest (RF) and K nearest neighbors (KNN) machine learning (ML) algorithms were evaluated for their ability to predict ophiolite occurrences, in the East Vardar Zone (EVZ) of central North Macedonia. A predictive ...
Instance-based transfer learning for soil organic carbon estimation
(Frontiers in Environmental Science, 2022)
Soil organic carbon (SOC) is a vital component for sustainable agricultural
production. This research investigates the transfer learning-based neural
network model to improve classical machine learning estimation of ...
Evaluation of methods for predicting axial capacity of jacked-in and driven piles in cohesive soils
(Union of Croatian Civil Engineers and Technicians, 2018)
This paper presents the evaluation of methods for predicting the ultimate axial bearing capacity of single piles based on the cone penetration test (CPT) results, and the evaluation of static methods based on the effective ...
Sustainable Railway Infrastructure and Specific Environmental Issues in the Republic of Serbia
(Strojarski Facultet, 2018)
Transport represents both need and threat to the modern human society. European transport policy aims at sustainable transport development based on the efficient use of natural resources, protection and improvement of ...