A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud
Summary
A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud is a scholarly article[1].
Key Facts
A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-scalable-multi-data-sources-based-recursive-approximation-approach-for-fast-error-recovery-in-big-sensing-data-on-clou
MLA“A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-scalable-multi-data-sources-based-recursive-approximation-approach-for-fast-error-recovery-in-big-sensing-data-on-clou.
BibTeX@misc{4ortxyz_a-scalable-multi-data-sources-based-recursive-approximation-approach-for-fast-error-recovery-in-big-sensing-data-on-clou_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud}}, year = {2026}, url = {https://4ort.xyz/entity/a-scalable-multi-data-sources-based-recursive-approximation-approach-for-fast-error-recovery-in-big-sensing-data-on-clou}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Scalable Multi-Data Sources Based Recursive Approximation Approach for Fast Error Recovery in Big Sensing Data on Cloud — https://4ort.xyz/entity/a-scalable-multi-data-sources-based-recursive-approximation-approach-for-fast-error-recovery-in-big-sensing-data-on-clou (retrieved 2026-05-24)
