Browse

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...