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). DCFF-MTAD: A Multivariate Time-Series Anomaly Detection Model Based on Dual-Channel Feature Fusion. Retrieved May 24, 2026, from https://4ort.xyz/entity/dcff-mtad-a-multivariate-time-series-anomaly-detection-model-based-on-dual-channel-feature-fusion
MLA“DCFF-MTAD: A Multivariate Time-Series Anomaly Detection Model Based on Dual-Channel Feature Fusion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dcff-mtad-a-multivariate-time-series-anomaly-detection-model-based-on-dual-channel-feature-fusion.
BibTeX@misc{4ortxyz_dcff-mtad-a-multivariate-time-series-anomaly-detection-model-based-on-dual-channel-feature-fusion_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DCFF-MTAD: A Multivariate Time-Series Anomaly Detection Model Based on Dual-Channel Feature Fusion}}, year = {2026}, url = {https://4ort.xyz/entity/dcff-mtad-a-multivariate-time-series-anomaly-detection-model-based-on-dual-channel-feature-fusion}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DCFF-MTAD: A Multivariate Time-Series Anomaly Detection Model Based on Dual-Channel Feature Fusion — https://4ort.xyz/entity/dcff-mtad-a-multivariate-time-series-anomaly-detection-model-based-on-dual-channel-feature-fusion (retrieved 2026-05-24)