Home ›
Entities
› academia
› A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system
A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system
Research article (International Journal of Intelligent Systems, 2021) · cited 11× · AI/ML
A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system
Summary
A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system is a scholarly article[1].
Key Facts
A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system'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). A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multimodal-architecture-using-adapthkfct-segmentation-and-featurebased-chaos-integrated-deep-neural-networks-chaosdnns
MLA“A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multimodal-architecture-using-adapthkfct-segmentation-and-featurebased-chaos-integrated-deep-neural-networks-chaosdnns.
BibTeX@misc{4ortxyz_a-multimodal-architecture-using-adapthkfct-segmentation-and-featurebased-chaos-integrated-deep-neural-networks-chaosdnns_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system}}, year = {2026}, url = {https://4ort.xyz/entity/a-multimodal-architecture-using-adapthkfct-segmentation-and-featurebased-chaos-integrated-deep-neural-networks-chaosdnns}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A multimodal architecture using Adapt‐HKFCT segmentation and feature‐based chaos integrated deep neural networks (Chaos‐DNN‐SPOA) for contactless biometricpalm vein recognition system — https://4ort.xyz/entity/a-multimodal-architecture-using-adapthkfct-segmentation-and-featurebased-chaos-integrated-deep-neural-networks-chaosdnns (retrieved 2026-05-24)
