Home ›
Entities
› academia
› Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition, using the extended belief rule-based inference methodology
Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition, using the extended belief rule-based inference methodology
Research article (Microprocessors and Microsystems, 2016) · cited 36× · AI/ML
Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition, using the extended belief rule-based inference methodology
Summary
Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition, using the extended belief rule-based inference methodology is a scholarly article[1].
Key Facts
Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition, using the extended belief rule-based inference methodology'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). Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition, using the extended belief rule-based inference methodology. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimizing-the-configuration-of-an-heterogeneous-architecture-of-sensors-for-activity-recognition-using-the-extended-bel
MLA“Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition, using the extended belief rule-based inference methodology.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimizing-the-configuration-of-an-heterogeneous-architecture-of-sensors-for-activity-recognition-using-the-extended-bel.
BibTeX@misc{4ortxyz_optimizing-the-configuration-of-an-heterogeneous-architecture-of-sensors-for-activity-recognition-using-the-extended-bel_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition, using the extended belief rule-based inference methodology}}, year = {2026}, url = {https://4ort.xyz/entity/optimizing-the-configuration-of-an-heterogeneous-architecture-of-sensors-for-activity-recognition-using-the-extended-bel}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimizing the configuration of an heterogeneous architecture of sensors for activity recognition, using the extended belief rule-based inference methodology — https://4ort.xyz/entity/optimizing-the-configuration-of-an-heterogeneous-architecture-of-sensors-for-activity-recognition-using-the-extended-bel (retrieved 2026-05-24)
