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Prikaz rezultata 11-20 od 27
Testing a New Ensemble Vegetation Classification Method Based on Deep Learning and Machine Learning Methods Using Aerial Photogrammetric Images
(Frontiers Media SA, 2022)
The objective of this research is to report results from a new ensemble method for
vegetation classification that uses deep learning (DL) and machine learning (ML)
techniques. Deep learning and machine learning architectures ...
Radionuclides and Metals in the Parks of the City of Belgrade, Serbia: Spatial Distribution and Health Risk Assessment
(Basel : MDPI, 2022)
In urban areas, forest patches and parks are usually the places where people spend most of their time outdoors. Because of poor environmental protection policy and insufficient investment in industry and energy, Serbia is ...
The compliance of head-mounted industrial PPE by using deep learning object detectors
(Nature Research, 2022)
The compliance of industrial personal protective equipment (PPE) still represents a challenging problem considering size of industrial halls and number of employees that operate within them. Since there is a high variability ...
Wind energy potential for the electricity production - Knjazevac Municipality case study (Serbia)
(Elsevier, Amsterdam, 2021)
Geospatial potential for harvesting wind energy is not an easy task to perform in conditions of deficiency of accurate data in remote and large areas (macro to medium locations). There are different methodologies available ...
The coastal fog and ecological balance for plants in the Jizan region, Saudi Arabia
(ElsevierKing Saud University, 2023)
Fog water collection provides a sustainable resource for watering of crops. The Jizan region is one of the smallest states in the Kingdom of Saudi Arabia (KSA) but very rich with unique flora, fauna, landscape diversity, ...
The pygidial gland secretion of Laemostenus punctatus (Coleoptera, Carabidae): a source of natural agents with antimicrobial, anti-adhesive, and anti-invasive activities
(Frontiers Media SA, 2023)
In the present study, we investigated in vitro the antimicrobial activity of the pygidial gland secretion of the guanophilic ground beetle Laemostenus (Pristonychus) punctatus (Dejean, 1828) and some of its chemicals against ...
Assessment of the handcart pushing and pulling safety by using deep learning 3D pose estimation and IoT force sensors
(Elsevier, 2021)
Pushing and pulling (P&P) are common and repetitive tasks in industry, which non-ergonomic execution is among major causes of musculoskeletal disorders (MSD). The current safety management of P&P assumes restrictions of ...
Agricultural Land Use Changes as a Driving Force of Soil Erosion in the Velika Morava River Basin, Serbia
(Basel : MDPI, 2023)
The erosion potential model was applied to estimate the soil erosion status of rural settlements during the years 1971 and 2011. We used univariate and bivariate local Moran’s I indices to
detect and visualize the spatial ...
Supporting Tourism by Assessing the Predictors of COVID-19 Vaccination for Travel Reasons
(Basel : MDPI, 2022)
The persistence of the SARS-CoV-2 virus imposed vaccination passports for traveling in most countries. We investigated psychological factors that predict the intention to vaccinate for travel. In a cross-sectional study, ...
Spatiotemporal Analysis of Urban Green Areas Using Change Detection: A Case Study of Kharkiv, Ukraine
(Frontiers Media SA, 2022)
Тhe contemporary globalized world characterizes the rapid population growth, its significant concentration in cities, and an increase in the urban population. Currently, many socio-cultural, economic, environmental, and ...