Home › Entities › academia › An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions

An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions

Research article (Applied Sciences, 2023) · cited 20× · AI/ML
academia openalex:W4321107441
Press Enter · cited answer in seconds

An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions

Summary

An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions is a scholarly article[1].

Key Facts

  • An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions'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). An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-feature-augmentation-and-lstm-based-method-to-predict-maritime-traffic-conditions
MLA “An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-feature-augmentation-and-lstm-based-method-to-predict-maritime-traffic-conditions.
BibTeX @misc{4ortxyz_an-efficient-feature-augmentation-and-lstm-based-method-to-predict-maritime-traffic-conditions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-feature-augmentation-and-lstm-based-method-to-predict-maritime-traffic-conditions}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Efficient Feature Augmentation and LSTM-Based Method to Predict Maritime Traffic Conditions — https://4ort.xyz/entity/an-efficient-feature-augmentation-and-lstm-based-method-to-predict-maritime-traffic-conditions (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-efficient-feature-augmentation-and-lstm-based-method-to-predict-maritime-traffic-conditions · Last refreshed: