Filip Arnaut

Institute of Physics Belgrade | IPB · Laboratory For Astrophysics and Physics of Ionosphere

This brief progress report provides an update on the ongoing research that aims to test the statistical significance and explore the potential causal relationship between earthquakes and increased solar wind parameters, distinguishing whether these events occur randomly or are interconnected. The updated research confirmed that heightened solar win...

Earthquakes pose a significant threat to the population, causing harm to individuals and also impacting modern infrastructure. Prediction of earthquakes as a subfield of seismology aims to address questions and problems related to forecasting of earthquakes. An area of research that could contribute to this matter is the field of space weather spec...

Modern society is most often evaluated according to the presence and development stage of the space industry in a country on one hand and of the oil industry on the other. These two completely different industry branches are closely related in sense of prosperity and comfortable living style conditions of a population. However, fundamental differen...

Strong radiation has the potential to alter the structure of the Earth's atmosphere by causing more ionization. These kinds of solar activity and radiation cause sudden ionospheric disturbances (SIDs), interfere with communications from space and electrical devices on Earth, and may cause a variety of natural disasters. This work focuses on the ana...

In the past few decades innovative approach is to foster collaboration and effective synergies among disciplines such as space exploration, atmospheric and Earth observations, laboratory and field experiments, and numerical modeling, with a high potential for direct application in Earth and other planetary research. Modeling various atmospheres wit...

Since solar-influenced space weather is known to be crucial for sustainable development, researchers are particularly interested in studying extreme weather occurrences, climate change, protection, and preservation (Srećković et al. 2021). Therefore, one of the most important questions is whether we can estimate the effects of solar radiation and d...

Cycling is a sustainable and healthy form of transportation that is gradually becoming the primary means of transportation over shorter distances in many countries. This paper describes the dataset used to determine the cycling characteristics of seniors in the USA and Canada. For these purposes, a specially created questionnaire was used in a surv...

Forecasting the future levels of air pollution provides valuable information that holds importance for the general public, vulnerable populations, and policymakers. High-quality data are essential for precise and reliable forecasts and investigations of air pollution. Missing observations arise when the sensors utilized for assessing air quality pa...

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 map of the investigated area was created using three data sources: geophysical data (digital elevation model, gravity and geom...

Machine learning (ML) methods are commonly applied in the fields of extraterrestrial physics, space science, and plasma physics. In a prior publication, an ML classification technique, the Random Forest (RF) algorithm, was utilized to automatically identify and categorize erroneous signals, including instrument errors, noisy signals, outlier data p...

We demonstrate the use of Facebook's Prophet (usually just called Prophet) model for short-term air quality forecasting at Belgrade-Zeleno brdo monitoring station. To address missing data, we applied minimally-altering data distribution imputation techniques. Linear interpolation proved effective for short-term gaps (1-3 hours), hourly mean method...

Citation: Arnaut, F.; Kolarski, A.; Srećković, V.A.; Mijić, Z. Ionospheric Response on Solar Flares through Machine Learning Modeling. Abstract: Following solar flares (SF), the abrupt increase in X-radiation and EUV emission generates additional ionization and higher absorption of, e.g., electromagnetic waves in the sunlit hemisphere of the Earth'...

The process of manually checking, validating, and excluding data in an ionospheric very-low-frequency (VLF) analysis during extreme events is a labor-intensive and time-consuming task. However, this task can be automated through the utilization of machine learning (ML) classification techniques. This research paper employed the Random Forest (RF) c...

Apparent resistivity data from the Offset-Wenner array (Zemun, Serbia), the square array (Bogatić and Golubac, Serbia) and the Wenner tri-potential technique (Vrdnik, Serbia), were used to detect, measure, and reduce lateral effects in 1D inversion. Forward and inverse modelling with the Wenner α, β and γ arrays determined that the Wenner β array p...

At the Neolithic settlement "Pločnik" near Prokuplje in Serbia, the electrical imaging method (ERT) was deployed. At the sounding site S-3, 1D electrical survey revealed a low resistivity layer with a thickness of 0.8 meters and a resistivity of about 30 Ωm. A sharp and steep boundary divides the high resistivity medium and the low resistivity medi...

U radu su prikazane mogućnosti metode elektrometrijskog skeniranja, testirane u zoni beogradskog vodoizvorišta „Makiš“, sa ciljem procene njene pouzdanosti u monitoringu zagađenja vode.

A few engineering geology and geotechnical case studies are seen in this research paper that are solved using two dimensional (2D) electrical imaging surveys (ERT) and, in four cases, ground penetrating radar (GPR). Case studies that demonstrate the versatility of the ERT method as well as other methods that complement obtained ERT data will be pre...

The Solar Heliospheric Observatory (SOHO) satellite was launched on the 2nd of December 1995 at L1 Lagrange point (1.5x106 km from Earth) with the purpose of gathering data for helioseismology, remote sensing of the solar atmosphere, and solar wind in situ. The satellite was positioned into orbit in early 1996, with data acquisition expected to com...

Geotechnical investigations of landslides for future mitigation are a complex task. To obtain relevant information, various geophysical methods are used, with varying degrees of success. The geoelectrical scanning method, also known as Electrical Resistivity Tomography (ERT) has been successfully applied in several locations in Serbia in the las th...

The crossed square array has been used for electrical anisotropy detection since the middle of the twentieth century, and later, the array is mainly used to detect rupture systems in rock formations. The crossed square array application for the primary root growth direction of the willow tree is investigated with the help of physical (analog) model...

Rapid yearly technology development has enabled the possibility of renewing already acquisitioned data using new and improved software capabilities. The potential to gather 3D inversion results from 2D acquisitioned data is one of many new software options that were not available twenty years ago. Data obtained by ground penetrating radar (GPR) usi...

Universal property of matter is the variation of a certain physical characteristic in different direction. The Substances that do not display this property are an exception. Anisotropy, as this property is named, is also notable in electrical conductivity of minerals, ores, rocks and geological formations. In order to properly define a geological m...