Home ›
Entities
› academia
› Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach
Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach
Research article (Acta Geodaetica et Geophysica, 2021) · cited 18× · AI/ML
Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach
Summary
Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach is a scholarly article[1].
Key Facts
Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/potential-field-data-interpretation-to-detect-the-parameters-of-buried-geometries-by-applying-a-nonlinear-least-squares-
MLA“Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/potential-field-data-interpretation-to-detect-the-parameters-of-buried-geometries-by-applying-a-nonlinear-least-squares-.
BibTeX@misc{4ortxyz_potential-field-data-interpretation-to-detect-the-parameters-of-buried-geometries-by-applying-a-nonlinear-least-squares-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach}}, year = {2026}, url = {https://4ort.xyz/entity/potential-field-data-interpretation-to-detect-the-parameters-of-buried-geometries-by-applying-a-nonlinear-least-squares-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Potential field data interpretation to detect the parameters of buried geometries by applying a nonlinear least-squares approach — https://4ort.xyz/entity/potential-field-data-interpretation-to-detect-the-parameters-of-buried-geometries-by-applying-a-nonlinear-least-squares- (retrieved 2026-05-24)
