Home › Entities › academia › Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion

Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion

Research article (The Science of The Total Environment, 2023) · cited 72× · AI/ML
academia openalex:W4386575267
Press Enter · cited answer in seconds

Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion

Summary

Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion is a scholarly article[1].

Key Facts

  • Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion's instance of is recorded as scholarly article[2].

Related Entities

Biswajeet Pradhan

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). Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretability-of-simple-rnn-and-gru-deep-learning-models-used-to-map-land-susceptibility-to-gully-erosion
MLA “Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretability-of-simple-rnn-and-gru-deep-learning-models-used-to-map-land-susceptibility-to-gully-erosion.
BibTeX @misc{4ortxyz_interpretability-of-simple-rnn-and-gru-deep-learning-models-used-to-map-land-susceptibility-to-gully-erosion_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion}}, year = {2026}, url = {https://4ort.xyz/entity/interpretability-of-simple-rnn-and-gru-deep-learning-models-used-to-map-land-susceptibility-to-gully-erosion}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion — https://4ort.xyz/entity/interpretability-of-simple-rnn-and-gru-deep-learning-models-used-to-map-land-susceptibility-to-gully-erosion (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/interpretability-of-simple-rnn-and-gru-deep-learning-models-used-to-map-land-susceptibility-to-gully-erosion · Last refreshed: