Home ›
Entities
› academia
› An efficient faults and attacks categorization model in IoT-based cyber physical systems using Dilated CNN and BiLSTM with multi-scale dense Attention module
An efficient faults and attacks categorization model in IoT-based cyber physical systems using Dilated CNN and BiLSTM with multi-scale dense Attention module
Research article (Biomedical Signal Processing and Control, 2024) · cited 11× · AI/ML
An efficient faults and attacks categorization model in IoT-based cyber physical systems using Dilated CNN and BiLSTM with multi-scale dense Attention module
Summary
An efficient faults and attacks categorization model in IoT-based cyber physical systems using Dilated CNN and BiLSTM with multi-scale dense Attention module is a scholarly article[1].
Key Facts
An efficient faults and attacks categorization model in IoT-based cyber physical systems using Dilated CNN and BiLSTM with multi-scale dense Attention module'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). An efficient faults and attacks categorization model in IoT-based cyber physical systems using Dilated CNN and BiLSTM with multi-scale dense Attention module. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-faults-and-attacks-categorization-model-in-iot-based-cyber-physical-systems-using-dilated-cnn-and-bilstm-wi
MLA“An efficient faults and attacks categorization model in IoT-based cyber physical systems using Dilated CNN and BiLSTM with multi-scale dense Attention module.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-faults-and-attacks-categorization-model-in-iot-based-cyber-physical-systems-using-dilated-cnn-and-bilstm-wi.
BibTeX@misc{4ortxyz_an-efficient-faults-and-attacks-categorization-model-in-iot-based-cyber-physical-systems-using-dilated-cnn-and-bilstm-wi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient faults and attacks categorization model in IoT-based cyber physical systems using Dilated CNN and BiLSTM with multi-scale dense Attention module}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-faults-and-attacks-categorization-model-in-iot-based-cyber-physical-systems-using-dilated-cnn-and-bilstm-wi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient faults and attacks categorization model in IoT-based cyber physical systems using Dilated CNN and BiLSTM with multi-scale dense Attention module — https://4ort.xyz/entity/an-efficient-faults-and-attacks-categorization-model-in-iot-based-cyber-physical-systems-using-dilated-cnn-and-bilstm-wi (retrieved 2026-05-24)