Home ›
Entities
› academia
› Capturing Directivity in Probabilistic Seismic Hazard Analysis for New Zealand: Challenges, Implications, and a Machine Learning Approach for Implementation
Capturing Directivity in Probabilistic Seismic Hazard Analysis for New Zealand: Challenges, Implications, and a Machine Learning Approach for Implementation
Research article (Bulletin of the Seismological Society of America, 2023) · cited 15× · AI/ML
Capturing Directivity in Probabilistic Seismic Hazard Analysis for New Zealand: Challenges, Implications, and a Machine Learning Approach for Implementation
Summary
Capturing Directivity in Probabilistic Seismic Hazard Analysis for New Zealand: Challenges, Implications, and a Machine Learning Approach for Implementation is a scholarly article[1].
Key Facts
Capturing Directivity in Probabilistic Seismic Hazard Analysis for New Zealand: Challenges, Implications, and a Machine Learning Approach for Implementation'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). Capturing Directivity in Probabilistic Seismic Hazard Analysis for New Zealand: Challenges, Implications, and a Machine Learning Approach for Implementation. Retrieved May 24, 2026, from https://4ort.xyz/entity/capturing-directivity-in-probabilistic-seismic-hazard-analysis-for-new-zealand-challenges-implications-and-a-machine-lea
MLA“Capturing Directivity in Probabilistic Seismic Hazard Analysis for New Zealand: Challenges, Implications, and a Machine Learning Approach for Implementation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/capturing-directivity-in-probabilistic-seismic-hazard-analysis-for-new-zealand-challenges-implications-and-a-machine-lea.
BibTeX@misc{4ortxyz_capturing-directivity-in-probabilistic-seismic-hazard-analysis-for-new-zealand-challenges-implications-and-a-machine-lea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Capturing Directivity in Probabilistic Seismic Hazard Analysis for New Zealand: Challenges, Implications, and a Machine Learning Approach for Implementation}}, year = {2026}, url = {https://4ort.xyz/entity/capturing-directivity-in-probabilistic-seismic-hazard-analysis-for-new-zealand-challenges-implications-and-a-machine-lea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Capturing Directivity in Probabilistic Seismic Hazard Analysis for New Zealand: Challenges, Implications, and a Machine Learning Approach for Implementation — https://4ort.xyz/entity/capturing-directivity-in-probabilistic-seismic-hazard-analysis-for-new-zealand-challenges-implications-and-a-machine-lea (retrieved 2026-05-24)