Home ›
Entities
› academia
› Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory
Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory
Research article (Sensors, 2015) · cited 29× · AI/ML
Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory
Summary
Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory is a scholarly article[1].
Key Facts
Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory'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). Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-sensor-data-fusion-identification-for-shearer-cutting-conditions-based-on-parallel-quasi-newton-neural-networks-an
MLA“Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-sensor-data-fusion-identification-for-shearer-cutting-conditions-based-on-parallel-quasi-newton-neural-networks-an.
BibTeX@misc{4ortxyz_multi-sensor-data-fusion-identification-for-shearer-cutting-conditions-based-on-parallel-quasi-newton-neural-networks-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory}}, year = {2026}, url = {https://4ort.xyz/entity/multi-sensor-data-fusion-identification-for-shearer-cutting-conditions-based-on-parallel-quasi-newton-neural-networks-an}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory — https://4ort.xyz/entity/multi-sensor-data-fusion-identification-for-shearer-cutting-conditions-based-on-parallel-quasi-newton-neural-networks-an (retrieved 2026-05-24)
