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Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques
Research article (Future Internet, 2024) · cited 35× · AI/ML
Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques
Summary
Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques is a scholarly article[1].
Key Facts
Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques'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). Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/advanced-hybrid-transformer-cnn-deep-learning-model-for-effective-intrusion-detection-systems-with-class-imbalance-mitig
MLA“Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/advanced-hybrid-transformer-cnn-deep-learning-model-for-effective-intrusion-detection-systems-with-class-imbalance-mitig.
BibTeX@misc{4ortxyz_advanced-hybrid-transformer-cnn-deep-learning-model-for-effective-intrusion-detection-systems-with-class-imbalance-mitig_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/advanced-hybrid-transformer-cnn-deep-learning-model-for-effective-intrusion-detection-systems-with-class-imbalance-mitig}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques — https://4ort.xyz/entity/advanced-hybrid-transformer-cnn-deep-learning-model-for-effective-intrusion-detection-systems-with-class-imbalance-mitig (retrieved 2026-05-24)
