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In the process of establishing the National Leveling Network (NLN), the individual cycles are associated with the use of different technologies, instruments, and methods for data structuring and processing. The study focuses on the territory of Bulgaria, where in the last three leveling cycles, various methodological and technological approaches for data organization, processing, and analysis have been applied. In this context, taking into consideration the large volume of accumulated data from the different reali...

This paper examines the applicability of machine learning techniques to spatial data modeling and identification of urban patterns using a limited set of demographic and geographic indicators. Drawing on sector-level data for Bucharest from the National Institute of Statistics of Romania, the analysis uses surface area, population, population density, and distance to the city center computed as Euclidean distance between sector centroids and a defined central reference point as variables. The dataset is processed ...

Air pollution is considered one of the most significant environmental and public health challenges in the Mitrovica region, primarily influenced by industrial activities, urban traffic, fossil fuel combustion, and various factors associated with industrial waste. Real-time monitoring of air pollutants and environmental parameters is essential for identifying high-risk areas and supporting environmental protection policies. This study presents the development and implementation of an intelligent air quality monitor...

The present work investigates the performance of the Fantanele-Cogealac wind farm through the application of a neural-network-based modeling approach, aiming to capture the correlations between various meteorological parameters and the performances of a wind turbine. As a first step, the meteorological conditions from the vicinity of this site were evaluated from a statitiscal and seasonal point of view, by considering MERRA-2 dataset covering the time interval 2018-2025. The results are indicated in terms of surf...

The crankshaft run-up process is a critical transient phase in internal combustion engine operation, during which the engine transitions from rest or low rotational speed to a stable operating condition. This process is governed by the interaction between combustion-generated torque, mechanical resistance, and the inertia of the rotating system. Accurate modelling of this phase is important for improving engine design, reducing experimental effort, and better understanding transient engine dynamics. This paper pre...

The paper presents a centralized workflow automation solution for processing technical-scientific PDF documents in geoinformatics-oriented organizational environments. The proposed system addresses repetitive document-processing activities associated with scientific reporting, technical documentation, scanned archives, and institutional digital workflows, particularly in situations where users do not possess advanced PDF-processing skills. The solution is implemented using a continuously operating Windows server o...

The growing interest in the development of artificial intelligence (AI) agents is increasingly influencing socially significant domains such as public administration, education, and government services. In these areas, AI systems are expected to achieve high standards of performance, including accuracy, reliability, and contextual awareness, in order to support administrative processes and provide citizens with fast and dependable access to information. For this reason, selecting an appropriate model conception is...

Developing effective artificial intelligence agents requires more than selecting an appropriate language model. Agent performance is fundamentally constrained by the quality, structure, and accessibility of the underlying knowledge, making curated, continuously updated knowledge bases a core architectural component. While large language models, reasoning-oriented models, and research-focused models provide distinct capabilities for language understanding, reasoning, and summarisation, their practical effectiveness...

BerSi GeoChem is software which will be sampling and registration of field samples and data collected will be sent directly to database These samples will be registered on PDA or GPS which should have installed the software BerSi GeoChem and after entering BerSi GeoChem data this data will be stored on the server with a primary key ID of the sample taken through which then there is possibility to do the changes and modifications of these data By entering the data then automatically the coordinates received it will...

Post-mining discontinuous deformations, including sinkholes and localized landslides, constitute a significant geotechnical and environmental hazard in mining areas. Accurate identification of zones susceptible to such phenomena is essential for risk assessment and spatial planning. This study presents a GIS-based approach integrating Multi-Criteria Decision-Making (MCDM) methods for susceptibility mapping of discontinuous deformations in the mining area of the hard coal mine, located in the Upper Silesian Coal Ba...

The convergence of remote sensing (RS), artificial intelligence (AI), and advanced computational modeling presents a paradigm shift in addressing interconnected environmental crises. This research demonstrates how this integrated framework delivers actionable insights for biodiversity conservation, pollution mitigation, and climate adaptation. RS provides high-resolution, temporal data on habitat extent, deforestation rates, pollutant dispersion, and climate variables. AI algorithms, particularly machine learning,...

Three-dimensional terrain reconstruction for applications such as geodetic modeling and spatial analysis remains challenging when GNSS-derived observations are sparse, distributed primarily along road networks, and referenced to a vertical reference system different from that of the available digital terrain models (DTMs). This study presents a methodology for integrating GNSS-derived road observations with raster-based terrain models to reconstruct continuous and geometrically consistent terrain surfaces while pr...

Agriculture is increasingly affected by climate change, soil degradation, and the need for sustainable land management, creating demand for advanced decision-support tools capable of integrating heterogeneous spatial and management data. The aim of this contribution is to introduce a system for parcel-specific agricultural advisory based on the integration of GIS, LPIS data, expert methodologies, and AI-driven analytical workflows. The system is designed as a modular web-based platform with a chat-oriented interfa...

Based on the Entity – Relationship model (ER model) of Agricultural activities, a simulation model of the vegetative development of plants has been developed, taking into account the agricultural activities necessary for their cultivation. The agricultural crops grapes and pepper have been selected because they present different specificities such as annuals – perennials, vines (bushes) – low-stemmed and other fundamental differences. The model recreates the vegetative processes arising from the botany of pl...

Application of GIS systems in Agriculture now adays is an essential tool for managing, monitoring and updating crops information in daily, monthly or annual basis. A review of number of OpenGeo products exposed worldwide shows that there have been major improvements in much functionality recently . The application of GIS systems in agriculture is also recommended by Eur opean Commission for countries which are being prepared to join European Union (LPIS, vineyard cadastre etc.). For the wine cultivation in Kosovo,...

The ArcGIS software from ESRI contains tools for interpolation of raster surfaces from point data. There are four classical interp olation methods: IDW, spline with tension, regularized spline, and kriging in the “3D analysis” toolbox in the “Interpolation method” toolset in the ArcCatalog application. It is possible to set different parameter values for each interpolation method in Ar cGIS. These parameter settings influence the output digital elevation models. The research team in the Department of Geoin...

With climate change in recent years, tourists, whether foreign or domestic would prefer to assess the danger associated to some locations they visit. In this paper the analysis of temperature was preferred, because it represents the most accessible type of data for long periods, and for statistical analysis. The studied region, the Eastern Carpathians is considered as one of the coldest part of Romania, but also a touristically attractive region. We selected for analysis three majo r basins (Giurgeu, Ciuc, Intorsu...

Data fusion has been important field of expl oration, brought to light under the influence of new technologies and the emerging need for information integration and knowledge extraction from heter ogeneous data sources. The main focus of this paper will be set particularly on sensor data fusion. Our cu rrent focus is on designing and developing an intelligent data fusion component for a Sens or Web based architecture that will enable combining different environmental data into coherent information. For addressing ...

Hydrological parameters have major impact to water, energy, civil engineering, industry and other commercial and non-economic branches. For the determination of the hydrological processes are: observed, measured and recorded data on hydrological phenomena. Our knowledge of these phenomena modes is the basis for good planning and management of water resources. As a source of information for defining the characteristics we used measured data. The effectiveness of water systems depends on the measurement and hydrolog...

Spatial data are being used in the process of effective decision making, for optimal resource management and continuous development. A need for properly maintained cadastral records enforced the development of spatial data infrastr ucture at national, regional and global level. NSDI (National Spatial Data Infras tructure) decreases redundancy and allows an easy access, share and exchange of spatial data on the principles of interoperability. NSDI de velopment must be based on the ISO 19100 series of standards and ...

The landscape structure, its components and their developments are possible to monitor from several, mutually complementary aspect s: arrangement of gradients (abiotic and biotic) across the territory without signifi cant and sharp boundaries; arrangement of areas in the mosaic of the landscape; network of areas and corridors; system of boundaries and rims in the landscape mosaic [1]. The investigation into ecotones enabled a better understanding of the causal relationships between certain landscape elements, land...

Reliable and safe operation of pipelines is one of the basic requirements of natural gas transmission. Construction of new routes but also runni ng existing pipelines requires planning and risk assessment. Pipeline Integr ity Management is a system that requires collection and processing of information not only about the route and condition of piping systems, but also an analysis of all f actors that can contribute significantly to the fail of integrity. Qualitative ri sk analysis is used for th e effective decisi...

Monitoring of environmental components, in relation to changes in global biochemical cycles and the presence of their deposition, is one of the world`s most attractive areas of research. This area plays an important role in the sphere of crisis management. One of the dominant components of the environment is water, in all states, especially in forms of snow and ice. Monitoring of weight and height of snow deposition concentrations is the main task of research projects of envi ronmental, geographical and technical ...

This item refers to the cent re-peripherical model due to Paul Krugman (1991) with all its merits in grounding of the economic crowdings, and which at the same time meant also the arising of a new field in the economic theory, known as “The New Economic Geography”. They also criticized it for the symmetry of the transport costs of the industrial and agricultural products. These criticisms could be avoid by improving the model, so as it is trying in this work. Simultaneously, the achieving of an informatics pro...

This paper evaluates the usage of the Geographic Markup Language (GML) in Turkey and essential subjects of the interoperabi lity concept in Turk ey for the future. Geography Markup Language-GML was developed by Open GIS Consortium-OGC. OGC presented GML based upon the technology of Extensible Markup Language-XML developed by World Wide Web Consortium-W3C. It was planned to constitute a layer for land registry and cad astral data at studies of INSPIRE (Infrastructure for Spatial Info rmation in Europe) that adopted...