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Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments
Research article (Knowledge and Information Systems, 2025) · cited 27× · AI/ML
Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments
Summary
Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments is a scholarly article[1].
Key Facts
Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments's instance of is recorded as scholarly article[2].
References
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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). Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-attention-deepcrnn-an-efficient-and-explainable-intrusion-detection-framework-for-internet-of-medical-things-envir
MLA“Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-attention-deepcrnn-an-efficient-and-explainable-intrusion-detection-framework-for-internet-of-medical-things-envir.
BibTeX@misc{4ortxyz_multi-attention-deepcrnn-an-efficient-and-explainable-intrusion-detection-framework-for-internet-of-medical-things-envir_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments}}, year = {2026}, url = {https://4ort.xyz/entity/multi-attention-deepcrnn-an-efficient-and-explainable-intrusion-detection-framework-for-internet-of-medical-things-envir}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-attention DeepCRNN: an efficient and explainable intrusion detection framework for Internet of Medical Things environments — https://4ort.xyz/entity/multi-attention-deepcrnn-an-efficient-and-explainable-intrusion-detection-framework-for-internet-of-medical-things-envir (retrieved 2026-05-24)
