Łukasz Bednarz
Biographic Data
| ID | 6878411 |
|---|---|
| NAME | Łukasz Bednarz |
| GIVEN NAMES | Łukasz |
| FAMILY NAME | Bednarz |
| SIGNATURE | BEDNARZ L |
| AFFILIATIONS | Wrocław University of Science and Technology |
| ORCID | 0000-0002-1245-6027 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
GepreS
This study introduces GEPReS, a Geospatially Enabled Predictive Recommendation System designed to support the preventive management of historical buildings through short-horizon risk forecasting and context-aware decision support. The system integrates Geographic Information Systems (GISs), Internet of Things (IoT) sensor networks, and authoritative meteorological data to generate timely, actionable recommendations for conservation interventions.…
Original Research Procedure as an Important Stage of Heritage Site Investigation
This paper presents an original research procedure developed for a project that focuses on the restoration of the Gołaszewski Manor and Garden Complex in Wrocanka. The introductory section outlines the objectives, scope and methods of the tests and sub-procedures that make up the procedure in question, and then presents the results of the investigation, broken down into individual stages. The conclusion emphasises the role of the investigation in…
No prominent works on this page.
Original Research Procedure as an Important Stage of Heritage Site Investigation
This paper presents an original research procedure developed for a project that focuses on the restoration of the Gołaszewski Manor and Garden Complex in Wrocanka. The introductory section outlines the objectives, scope and methods of the tests and sub-procedures that make up the procedure in question, and then presents the results of the investigation, broken down into individual stages. The conclusion emphasises the role of the investigation in…
GepreS
This study introduces GEPReS, a Geospatially Enabled Predictive Recommendation System designed to support the preventive management of historical buildings through short-horizon risk forecasting and context-aware decision support. The system integrates Geographic Information Systems (GISs), Internet of Things (IoT) sensor networks, and authoritative meteorological data to generate timely, actionable recommendations for conservation interventions.…
3D Surveying and Cultural Heritage (1 work) · Archaeological Research and Protection (1 work) · Architectural engineering (1 work) · Civil engineering (1 work) · Computer Science (1 work) · Conservation Techniques and Studies (1 work) · Construction engineering (1 work) · Cultural heritage (1 work) · Decision support system (1 work) · Engineering (1 work)