Home ›
Entities
› academia
› An experimental approach to evaluate machine learning models for the estimation of load distribution on suspension bridge using <scp>FBG</scp> sensors and <scp>IoT</scp>
An experimental approach to evaluate machine learning models for the estimation of load distribution on suspension bridge using <scp>FBG</scp> sensors and <scp>IoT</scp>
Research article (Computational Intelligence, 2020) · cited 24× · AI/ML
An experimental approach to evaluate machine learning models for the estimation of load distribution on suspension bridge using FBG sensors and IoT
Summary
An experimental approach to evaluate machine learning models for the estimation of load distribution on suspension bridge using FBG sensors and IoT is a scholarly article[1].
Key Facts
An experimental approach to evaluate machine learning models for the estimation of load distribution on suspension bridge using FBG sensors and IoT'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). An experimental approach to evaluate machine learning models for the estimation of load distribution on suspension bridge using <scp>FBG</scp> sensors and <scp>IoT</scp>. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-experimental-approach-to-evaluate-machine-learning-models-for-the-estimation-of-load-distribution-on-suspension-bridg
MLA“An experimental approach to evaluate machine learning models for the estimation of load distribution on suspension bridge using <scp>FBG</scp> sensors and <scp>IoT</scp>.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-experimental-approach-to-evaluate-machine-learning-models-for-the-estimation-of-load-distribution-on-suspension-bridg.
BibTeX@misc{4ortxyz_an-experimental-approach-to-evaluate-machine-learning-models-for-the-estimation-of-load-distribution-on-suspension-bridg_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An experimental approach to evaluate machine learning models for the estimation of load distribution on suspension bridge using <scp>FBG</scp> sensors and <scp>IoT</scp>}}, year = {2026}, url = {https://4ort.xyz/entity/an-experimental-approach-to-evaluate-machine-learning-models-for-the-estimation-of-load-distribution-on-suspension-bridg}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An experimental approach to evaluate machine learning models for the estimation of load distribution on suspension bridge using <scp>FBG</scp> sensors and <scp>IoT</scp> — https://4ort.xyz/entity/an-experimental-approach-to-evaluate-machine-learning-models-for-the-estimation-of-load-distribution-on-suspension-bridg (retrieved 2026-05-24)
