Mareike Dorozynski
Biographic Data
| ID | 3483298 |
|---|---|
| NAME | Mareike Dorozynski |
| GIVEN NAMES | Mareike |
| FAMILY NAME | Dorozynski |
| SIGNATURE | DOROZYNSKI M |
| AFFILIATIONS | Leibniz University Hannover |
| ORCID | 0000-0002-1293-6039 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Enhancing Land Use Efficiency Assessment Through Built-Up Area–Built-Up Volume Trajectories
SDG Indicator 11.3.1 assesses urban land use efficiency (LUE) through the ratio of the land consumption rate (LCR) to the population growth rate (PGR), or LCRPGR. However, its methodology is restricted to two-dimensional built-up area expansion, excluding vertical development and limiting insight into the structural mechanisms underlying efficiency outcomes. This study aims to integrate vertical urban growth into SDG 11.3.1 monitoring to improve …
Deep Descriptor Learning with Auxiliary Classification Loss for Retrieving Images of Silk Fabrics in the Context of Preserving European Silk Heritage
With the growing number of digitally available collections consisting of images depicting relevant objects from the past in relation with descriptive annotations, the need for suitable information retrieval techniques is becoming increasingly important to support historians in their work. In this context, we address the problem of image retrieval for searching records in a database of silk fabrics. The descriptors, used as an index to the databas…
No prominent works on this page.
Deep Descriptor Learning with Auxiliary Classification Loss for Retrieving Images of Silk Fabrics in the Context of Preserving European Silk Heritage
With the growing number of digitally available collections consisting of images depicting relevant objects from the past in relation with descriptive annotations, the need for suitable information retrieval techniques is becoming increasingly important to support historians in their work. In this context, we address the problem of image retrieval for searching records in a database of silk fabrics. The descriptors, used as an index to the databas…
Enhancing Land Use Efficiency Assessment Through Built-Up Area–Built-Up Volume Trajectories
SDG Indicator 11.3.1 assesses urban land use efficiency (LUE) through the ratio of the land consumption rate (LCR) to the population growth rate (PGR), or LCRPGR. However, its methodology is restricted to two-dimensional built-up area expansion, excluding vertical development and limiting insight into the structural mechanisms underlying efficiency outcomes. This study aims to integrate vertical urban growth into SDG 11.3.1 monitoring to improve …
Advanced Image and Video Retrieval Techniques (1 works) · Artificial Intelligence (1 works) · Cluster analysis (1 works) · Computer Science (1 works) · Convolutional neural network (1 works) · Deep learning (1 works) · Genomics and Phylogenetic Studies (1 works) · Geography (1 works) · Inefficiency (1 works) · Information retrieval (1 works)