Home ›
Entities
› academia
› Comparison of three reconstruction methods based on deconvolution, iterative algorithm and neural network for X-ray fluorescence imaging with coded aperture optics
Comparison of three reconstruction methods based on deconvolution, iterative algorithm and neural network for X-ray fluorescence imaging with coded aperture optics
Research article (Journal of Analytical Atomic Spectrometry, 2020) · cited 23× · AI/ML
Comparison of three reconstruction methods based on deconvolution, iterative algorithm and neural network for X-ray fluorescence imaging with coded aperture optics
Summary
Comparison of three reconstruction methods based on deconvolution, iterative algorithm and neural network for X-ray fluorescence imaging with coded aperture optics is a scholarly article[1].
Key Facts
Comparison of three reconstruction methods based on deconvolution, iterative algorithm and neural network for X-ray fluorescence imaging with coded aperture optics'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). Comparison of three reconstruction methods based on deconvolution, iterative algorithm and neural network for X-ray fluorescence imaging with coded aperture optics. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-three-reconstruction-methods-based-on-deconvolution-iterative-algorithm-and-neural-network-for-x-ray-fluor
MLA“Comparison of three reconstruction methods based on deconvolution, iterative algorithm and neural network for X-ray fluorescence imaging with coded aperture optics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-three-reconstruction-methods-based-on-deconvolution-iterative-algorithm-and-neural-network-for-x-ray-fluor.
BibTeX@misc{4ortxyz_comparison-of-three-reconstruction-methods-based-on-deconvolution-iterative-algorithm-and-neural-network-for-x-ray-fluor_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of three reconstruction methods based on deconvolution, iterative algorithm and neural network for X-ray fluorescence imaging with coded aperture optics}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-three-reconstruction-methods-based-on-deconvolution-iterative-algorithm-and-neural-network-for-x-ray-fluor}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparison of three reconstruction methods based on deconvolution, iterative algorithm and neural network for X-ray fluorescence imaging with coded aperture optics — https://4ort.xyz/entity/comparison-of-three-reconstruction-methods-based-on-deconvolution-iterative-algorithm-and-neural-network-for-x-ray-fluor (retrieved 2026-05-24)
