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Artificial intelligence (AI) is rapidly penetrating all forms of digitised systems and services, including organisational, social, economic, and governmental, revolutionising the way information is processed, and decisions are made. The integration of AI in socially relevant areas is increasingly essential due to the growing use of digital services and the extensive, fragmented information spread across platforms. The lack of a unified approach to processing this data creates challenges in accessibility, reliabili...

This article focuses on the effectiveness and robustness of facial classification systems in the field of biometric identification. Artificial intelligence is increasingly becoming a part of everyday life, with more and more users employing it across various domains. In the field of security, AI is used, for instance, in cybersecurity and risk analysis. It is also integrated into surveillance systems, particularly for facial recognition. A comparative analysis of three convolutional neural networks-GoogLeNet, ResN...

Data collection and storage are crucial in the development of artificial intelligence (AI) within the socially relevant areas. Despite the increasing volume of information, it is often scattered across various sources, formats, and platforms, making effective analysis and application challenging. The lack of a unified framework for data integration further complicates efforts to leverage AI for informed decision-making, policy formulation, and public service optimisation. This article proposes a structured methodo...

The recent advances in machine learning led to exponential improvement in the field of artificial intelligence and large language models (LLMs). For university study and university students, LLMs can offer opportunities in several areas. But on the other hand, output from LLMs should be handled using critical thinking. In our research, we wanted to investigate the level of awareness of publicly available LLMs among the bachelor and master students (n=22) of Landscape Engineering program at the Slovak University of...

Accurate solar power forecasting is essential for grid stability and efficiency. Precise generation forecasts help balance electricity supply and demand, prevent overloads, and support renewable energy integration. It enables to optimize bidding strategies and reduce penalties for imbalanced production. This study presents a solar power forecasting approach that integrates deterministic models with machine learning. The system utilizes the pvlip Python library for deterministic calculations. XGBoost-based machine ...

Wind and solar energy have become increasingly viable sources of clean, sustainable power, enabling more infrastructure to operate independently of traditional energy grids. To assess the reliability of these energy sources, it is essential to evaluate how regional climate conditions influence the generation potential of renewable energy. Since wind and solar power generation is inherently irregular, analyzing both fluctuations and regional variations is crucial for making optimal decisions that ensure the continu...

Agroecology, which merges ecological principles with agricultural practices, offers a pathway to food security while ensuring environmental sustainability. However, its implementation faces challenges stemming from ineffective ecological resource monitoring, predetermined climate conditions, and insufficient real-time data for precision farming and well-informed decision-making. The aimed first, to develop models that monitor soil health and predict crop yields under different agroecological conditions powered by ...

Ultrasound diagnostics is a key tool in the investigation of renal diseases in pediatric patients due to its non-invasiveness and accessibility. Although it offers many advantages. Its accuracy in detecting functional pathological changes is investigated in this article. This pilot study included 17 children aged 1 to 18 years who underwent renal ultrasound examination followed by scintigraphy examination in a nuclear medicine clinic. Renal ultrasound images were analyzed using the digital B-MODE Assist system. wh...

This paper presents a multidisciplinary approach to analyzing data from Telegram for early warning information regarding cyber threats. With the proliferation of hacktivist groups utilizing Telegram to disseminate information regarding future cyberattacks or to boast about successful ones, the need for effective data analysis methods is paramount. The primary challenge lies in the vast number of channels and the overwhelming volume of data, necessitating advanced techniques for discerning pertinent risks amidst th...

Hydrogen is gaining popularity as a fuel source for more and more fields around the globe. The use of hydrogen for transport represents one of the important applications of this chemical substance, in this sense the development of infrastructures, but especially the safety of hydrogen filling stations representing an important element. Using hydrogen to power transportation can reduce harmful ozone-depleting emissions while improving air quality. Hydrogen fuel cell vehicles can help improve air quality and solve c...

This study investigates the potential of automated geomorphological mapping using geomorphometric analysis and machine learning on the Yamal Peninsula, Russia. The research aims to classify landforms based solely on geomorphometric characteristics, bypassing traditional manual interpretation of aerial imagery and digital elevation models (DEMs). The study utilized a DEM of the Yamal Peninsula and a reference geomorphological map, including 10 distinct landform types. A total of 119 geomorphometric variables, inclu...

The work is dedicated to formalizing the process of designing embedded systems with distributed heterogeneous organization. The original model of representing a computational system as a set of computational platforms interconnected both hierarchically and within the same level is taken as the basis. The abstraction of a -design platform- is interpreted as a design solution that is fixed for reuse and provides an application interface for building an -upward- hierarchy of abstractions alongside specifications for ...

The paper presents the research and results obtained by authors concerning the reactor modeling of the catalytic cracking process using two methods: artificial neural network (ANN) and multiple linear regression (MLR). This study is structured in four parts. The first part presents the process description, and the existing models in the literature. The second part presents the multiple linear regression method, the reactor model obtained with this method, and the comparison between the output experimental data of ...

The modern monitoring and control systems that are currently used in most fields are based on intelligent algorithms, distributed management systems, and a new generation of communication buses. For the monitoring and control of the processes inside a greenhouse, the use of sophisticated algorithms or complex devices is not required. However, to make the activity more efficient and increase the production of a greenhouse, a proposed solution is to use data management and control system such as PLC and HMI devices,...

Route search engines are essential tools in online applications that address a wide range of user needs. However, the distribution of such applications and simple search engines presents a diverse landscape with different outputs for the same routing tasks. Although they rely on well-established algorithms, the use of different datasets often leads to different results. This paper aims to compare selected route search engines, investigate the differences in their outputs, and provide useful recommendations to user...

Digitalization and the concepts of Industry 4.0 undoubtedly contribute to companies' competitive advantage, which can be achieved, among other things, by improving the efficiency and stability of the production process through their implementation. The main purpose of the article is to demonstrate the impact of digitization on the most important indicators of production efficiency using the example of a student project of a production line simulation system, implemented by the Student Scientific Circle of Manageme...

This study assesses the efficiency of various geomorphometric terrain characteristics and a number of categorical geological parameters in training statistical models to create geomorphological maps. The study area is the central sector of the western coast of Yamal Peninsula (S = 10 400 km2). The terrain is exceptionally flat and morphologically similar, but the genesis and age of the surfaces are diverse. The background surface type is marine terraces of various (Middle Pleistocene to Holocene) ages, subsequentl...

Numerous studies have examined the potential integration of Building Information Modeling (BIM) with Geographic Information Systems (GIS), typically focusing on simplifying complex BIM data for presentation within a GIS environment. However, there is a unique circumstance with extensive geodetic databases that remain untapped in construction processes in Poland. The emergence of the more applicable IFC format version 4.3, particularly relevant to surveying, presents an opportunity. The article proposes leveraging ...

This study analyzes the impact of virtual collaboration tools on knowledge sharing in distributed and virtual teams, operating at the intersection of technology, human behavior, and organizational processes. It aims to unravel the complexities of knowledge sharing in modern workplaces by examining the role of these tools in facilitating knowledge exchange, identifying factors for effective practices, and exploring the impact of organizational culture and industry dynamics. Through empirical research, including a s...

Agricultural productivity and environmental changes can be greatly affected by agricultural and other land use. Mapping of vegetation and land cover is a fundamental way of managing the natural resources on the earth surface. To determine or study the crop productivities of any geographical location, agricultural land use is one of the crucial clues for reliable information. We aimed to investigate the effects of urbanization on agricultural lands in Sao Paulo city. A 30-year multi-temporal satellite imagery datas...

In the modern world, neural networks are becoming an integral part of human life. In particular, neural networks began to be used for the task of constructing information security tools; in connection with this, the need gradually began to arise to strengthen and improve the mechanisms of artificial intelligence itself, including when using big data technology. Let's consider the basic concepts of working with Big Data technology, in particular the processing of assimilation memory to build a general visual pictur...

Urban meteorological parameters and traffic emissions are characterized by microterritorial variability. Online weather and traffic information is the basis for creating online services to provide users with information about the toxicological risk, noise effects and thermal stress risk. The purpose of this work is to assess the possibilities of online environmental modeling. The methodology includes special field studies to select model parameters, developing models for online calculations of noise levels, concen...

Automation of complex technological and laboratory systems requires the creation of specialized mixed-critical computing systems. They must control the technological process at several levels (control subsystem) and maintain the user interface with technological data management (information subsystem). So, they execute tasks with significantly different criticality. Also, it is assumed that the development of physical components, the implementation and configuration of the control subsystem at different stages of ...

Cyber-physical physical systems find their place in all spheres of modern life and are in a stage of rapid development. The prospects for the development of cyber-physical systems affect the interests of society as a whole, so they should be considered not only in a technical, but also in a broader socio-cultural aspect. The scope of application of cyber-physical systems extends to industrial systems, energy, transport and military systems, as well as all types of life support systems. Researchers repeatedly consi...

Spiking neural networks (SNNs) is a promising research direction to their ability to imitate certain functions of brain. Hardware acceleration of SNN can offer orders of magnitude increase in performance and power efficiency. However, traditional hardware description languages have a barrier for rapid development and prototyping of custom internal hardware mechanisms that affect hardware construction throughout the entire processor structure. Mainstream high-level design methods also have disadvantages, e.g. poor ...

Utilizing algorithms for imaging medical results from CT, MRI, and PET into Virtual Reality. There is a growing interest in the field of medical imaging in understanding the impact of algorithm parameters on the quality and interpretability of the obtained images. In the developed software VRMed3D aimed at educating students using medical images in virtual reality technology, Gaussian noise was utilized to identify the most effective edge detection algorithms. The search was for an algorithm that provided the most...

Road traffic fatalities are a significant concern worldwide, as highlighted by data from the World Health Organization (WHO) and other international organizations. One approach to enhancing road safety is through the assessment of specific characteristics or features that contribute to the overall safety condition of roads. The International Road Safety Assessment Program (iRAP) identifies several attributes that have a direct impact on road safety. Some of these attributes can be collected from satellite imagery....

Given the large interest for future uses of hydrogen, special safety measures have to be implemented for avoiding potential accidents. The broad objective of the research study is represented by the development and testing of experimental models representing areas of analysis and study for the initiation and combustion of air-hydrogen mixtures, respectively by numerical modelling of these phenomena, in order to obtain appropriate input data sets for precision computer simulations of chemical explosions of air- hyd...

In this paper, we address some challenges of protracted loading times and reduced performance when managing large image sets delivered as output by popular meso-scale weather and air-quality models when used in graphic engines of associated software applications. Following an examination of several distinguished models' output, we introduce an innovative approach centered on a three-tier software system architecture, supplemented by strategies including lazy-loading, image compression, and load stream prioritizati...

All the affluent countries are characterized by urbanization. Increase of the urbanized areas leads to change of total nitrogen and phosphorus unit discharges from the catchment areas. Therefore, there is necessity of the watersheds parameters ascertainment for usage of them at the biogenic elements outflow calculation. For that reason, we must determine the watersheds boundaries and types of surface within the watersheds. The considered methodology includes the watersheds boundaries ascertainment by means of digi...

The instability of the global fuel economy and increasing environmental problems are forcing the global scientific community to look for substitutes for fossil fuels, primarily oil. A promising direction for research seems to be fuel blends with natural additives or based entirely on renewable resources, the so-called biofuels. One of the more significant developments in biofuel research, is biofuels that use alcohols as part of the biofuel blend. The specific nature of these agents, however, makes it required and...

Article contain an overview of development of ice loads estimation on offshore structures. It begins by discussing the importance of calculating ice loads for the safety and reliability of offshore structures; then explores the evolution of ice load calculation in norms from the past to the present, including the development of international standards and guidelines and the advancements in ice load estimation techniques. The article further delves into the methods used for ice load estimation before the developmen...

The fast-spreading wildfire engulfs the dense parched flora and all obstructions in its way, transforming a woodland into a volatile reservoir of combustible materials. Once ignited, fires can expand at a velocity of up to 23 km/h. As flames spread across vegetation and woodlands, they have the potential to become self-sustaining, propagating sparks and embers that can spawn smaller fires miles away. The proximity of the burning materials to the observer has a direct impact on the density of smoke produced by the ...

The vibration study of the cycloidal gear and the prevention of vibrations are important issues in the field of mechanical engineering. Cycloidal gears are used in many different applications, including industrial machinery, industrial robots and medical devices. Vibration tests of the cycloidal gear consist in identifying the sources of vibrations and determining their characteristics. As a result of the conducted research, the sources of vibrations can be identified and strategies for their reduction can be deve...

The aim of this project is to compare the effectiveness of different neural network architectures and pre-trained models for the classification of forest flora and fauna. Experiments were conducted on a dataset containing images of selected plants and animals found in the forest. The project covers the basics of convolutional neural networks, and compares the architectures of the networks used in the study. The results of the experiments compare the effectiveness of different convolutional neural network architect...

Wireless data transmission interfaces have advantages that ensure their wide and almost inevitable application in a number of tasks of creating modern automation systems, cyber-physical systems, Industrial Internet of Things, and sensor networks. However, there is a certain methodological gap between radiophysicists who are engaged in the design of wireless networks, and IT specialists who need to implement them into various computing systems. The gap is caused by the insufficiently high quality of documentation, ...

Determining the optimal trajectory of a manipulator is a mathematically complex part of control due to the time-consuming determination of inverse kinematics, the complexity of which increases as the manipulator's degrees of freedom increase. The control of manipulator actuators is based on algorithms focusing on the shortest possible control time and zero position deviation. Values such as power consumption, which affect the growth of the carbon footprint, are not taken into account. For this reason, alternative ...

The article deals with the topic of cyberterrorism committed with the help of social engineering. It lists the means and methods used by modern cyber-terrorists but mentions in more detail the less common ones, which have a greater chance of success because they are not widely known. In the case of cyber terrorism or cyber war, the damage can become global. It is in the existential interest of every state or company to have a sufficient level of prevention against threats to its digital space and adequate settings...

The article analyzes the problems of creating custom cyber-physical systems (CPS) and approaches to their design using computing platforms. The features and typical problems of the three main scenarios of creating a CPS are shown: 1) by applied specialists only; 2) by IT specialists only; 3) by applied and IT specialists jointly. The last scenario is considered in detail. The need for explicit allocation of interfaces for interaction between applied and IT specialists, explicit allocation of the CPS computing plat...

The special regime of nature reserve complexes allows for the protection and reproduction of local flora and fauna, local Red Data Book species, and the implementation of preventive measures against their extinction from the region. Military operations on the territory of these complexes have an irreversible impact on the further development of the region's natural complexes. The authors of the publication have studied the territory of one of the protected areas affected by military actions in the Kherson and Myko...

Indoor positioning systems have a wide variety of applications. They can be used to see and track user location, for real-time navigation and others. They are usually developed for a specific building or set of buildings and may use different positioning techniques to meet the user needs in terms of accuracy and budget constraints. For the current study free and open source data is used for development of the base map - OpenStreetMap and Leaflet library. The data for specific building is added, as the floor plans ...

3D printing technology is used in many areas, especially in prototyping new parts and elements. Assessment of the quality of powders for the production of 3D printing filament is extremely important because it has a direct impact on the quality and reliability of printed objects. High-quality powders are essential to ensure optimal performance and print accuracy. In the case of 3D printing, filament is the basic material that is processed and layered to create three-dimensional objects. To ensure the quality and d...

Tailings in Kosovo as in any other country in the world look like an asset and mineral resources, but despite this, these Tailings have a very large impact on the process of environmental pollution. In addition to the chemical and mineralogical research of the Artana Art-1 Tailings, we have conducted research on the geostatistical distribution of most pollutants and chemical elements of this tailing. The flotation process of the Artana mine builds tailing Art-1 and the waste released from this process is dumped in...

The research on the development of new robot control systems is currently underway. The interest in this area stems from the need for practical, user-friendly means of transport adapted to people with physical disabilities. The application of these devices will allow disabled people to manipulate external devices using EEG of both brain activity and eye movement. It is still possible for people with disabilities to partially apply their gaze in order to control and communicate with an assistive device. However, th...

The article deals with the information technology development for monitoring and visualization of the load of urban environment public open spaces and human behaviour. The problem of urban public open space load became actual both in everyday life and in the conditions of pandemics. The offered information technology includes several dynamic or real-time data acquisition modules, data server with data processing, clustering and simulation functions and mobile application for end users on their mobile devices. A mo...

The article presents the possibilities of using retinal images for identification of persons using biometric technologies. The properties of the retina that are used for identification are completely unique to each person and do not change over time. The probability that two exactly the same retinal vasculature patterns will be mismatched is very low to zero. Therefore, the use of retina for biometric identification is rated as very accurate in contrast to the reliability of other biometric methods and is used in ...

Computer simulation has a significant application in the field of metallurgy. It is primarily an issue that deals with the issue of casting. The simulation of casting and solidification makes visible the foundry phenomena that take place in the gating system and the casting when the mold is filled with liquid metal and during its solidification. The article deals with the design of the gating system and the simulation of the filling and solidification of a real casting made of ductile iron. In the next production ...

Databases and ICT capabilities allow for the analysis of trends and possibilities of change. The use of ICT enables a broader problem analysis and an indication of how and where to process it For a given biodiversity, specific situation and existence, refer to the global situation and the global step on energy fuel becomes bigger with each step. Therefore, a more and more needed, soon to be added supplement, accompanying, supplementing the source. The closest available alternatives to humans are so-called biofuels...

The Geographic Information Systems (GIS) are one of the main tools through which changes in the urban environment can be tracked. They can be used to analyze processes not only as territorial phenomena, but also to derive spatio-temporal models and trends. Free and open access data was used for the present study - from Copernicus, OpenStreetMap and the Urban Development Plan of Sofia Municipality were used as sources. Data layers for the terrain, land cover, buildings, street network and others were analyzed toget...

Computer simulation of foundry processes is an essential part of a modern foundry. The role of the gating system, its design and different elements are important in casting. Experimental verification of the designed gating system for new castings is costly, timeconsuming and economically inefficient. Therefore, these processes in the foundry are replaced by computer simulation. A detailed analysis of the simulation results makes it possible to predict various risks that may cause a failure in the quality of castin...