Gherraz Halima
Biographic Data
| ID | 6632132 |
|---|---|
| NAME | Gherraz Halima |
| GIVEN NAMES | Gherraz |
| FAMILY NAME | Halima |
| SIGNATURE | HALIMA G |
| AFFILIATIONS | Department of Architecture, Laboratory of Evaluation of Quality in Architecture and In‐built Environment University of Larbi Ben M'hidi Oum El Bouaghi Algeria |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Utilizing the MaxEnt machine learning model to forecast urban heritage sites in the desert regions of southwestern Algeria
The Saoura region, a renowned oasis in North Africa with heritage and archaeological significance of both national and universal importance, has witnessed a gradual deterioration over time. This research involves archaeological predictive modelling, aiming to create models capable of predicting the likelihood of discovering archaeological sites, cultural resources or evidence of past landscape use within a specific region. The study specifically …
Utilizing the MaxEnt machine learning model to forecast urban heritage sites in the desert regions of southwestern Algeria
The Saoura region, a renowned oasis in North Africa with heritage and archaeological significance of both national and universal importance, has witnessed a gradual deterioration over time. This research involves archaeological predictive modelling, aiming to create models capable of predicting the likelihood of discovering archaeological sites, cultural resources or evidence of past landscape use within a specific region. The study specifically …
Utilizing the MaxEnt machine learning model to forecast urban heritage sites in the desert regions of southwestern Algeria
The Saoura region, a renowned oasis in North Africa with heritage and archaeological significance of both national and universal importance, has witnessed a gradual deterioration over time. This research involves archaeological predictive modelling, aiming to create models capable of predicting the likelihood of discovering archaeological sites, cultural resources or evidence of past landscape use within a specific region. The study specifically …
Agriculture (1 work) · Archaeological Research and Protection (1 work) · Archaeology (1 work) · Climate change (1 work) · Computer Science (1 work) · Conservation Techniques and Studies (1 work) · Digital elevation model (1 work) · Elevation (ballistics (1 work) · Geography (1 work) · Geology (1 work)