Home › Entities › academia › Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data

Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data

Research article (Environmental Science and Pollution Research, 2022) · cited 42× · AI/ML
academia openalex:W4307516694
Press Enter · cited answer in seconds

Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data

Summary

Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data is a scholarly article[1].

Key Facts

  • Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data. Retrieved May 24, 2026, from https://4ort.xyz/entity/groundwater-level-response-identification-by-hybrid-waveletmachine-learning-conjunction-models-using-meteorological-data
MLA “Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/groundwater-level-response-identification-by-hybrid-waveletmachine-learning-conjunction-models-using-meteorological-data.
BibTeX @misc{4ortxyz_groundwater-level-response-identification-by-hybrid-waveletmachine-learning-conjunction-models-using-meteorological-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data}}, year = {2026}, url = {https://4ort.xyz/entity/groundwater-level-response-identification-by-hybrid-waveletmachine-learning-conjunction-models-using-meteorological-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data — https://4ort.xyz/entity/groundwater-level-response-identification-by-hybrid-waveletmachine-learning-conjunction-models-using-meteorological-data (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/groundwater-level-response-identification-by-hybrid-waveletmachine-learning-conjunction-models-using-meteorological-data · Last refreshed: