Home ›
Entities
› academia
› MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism
MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism
Research article (Engineering Applications of Artificial Intelligence, 2023) · cited 10× · AI/ML
MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism
Summary
MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism is a scholarly article[1].
Key Facts
MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism'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). MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism. Retrieved May 24, 2026, from https://4ort.xyz/entity/msfftsgp-multi-source-features-fused-two-stage-grade-prediction-of-zinc-tailings-in-lead-zinc-flotation-process-via-mult
MLA“MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/msfftsgp-multi-source-features-fused-two-stage-grade-prediction-of-zinc-tailings-in-lead-zinc-flotation-process-via-mult.
BibTeX@misc{4ortxyz_msfftsgp-multi-source-features-fused-two-stage-grade-prediction-of-zinc-tailings-in-lead-zinc-flotation-process-via-mult_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism}}, year = {2026}, url = {https://4ort.xyz/entity/msfftsgp-multi-source-features-fused-two-stage-grade-prediction-of-zinc-tailings-in-lead-zinc-flotation-process-via-mult}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MsFfTsGP: Multi-source features-fused two-stage grade prediction of zinc tailings in lead-zinc flotation process via multi-stream 3D convolution with attention mechanism — https://4ort.xyz/entity/msfftsgp-multi-source-features-fused-two-stage-grade-prediction-of-zinc-tailings-in-lead-zinc-flotation-process-via-mult (retrieved 2026-05-24)
