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A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems
Research article (Scientific Reports, 2025) · cited 13× · AI/ML
A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems
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A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems is a scholarly article[1].
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A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-simulation-driven-computational-framework-for-adaptive-energy-efficient-optimization-in-machine-learning-based-intrusi
BibTeX@misc{4ortxyz_a-simulation-driven-computational-framework-for-adaptive-energy-efficient-optimization-in-machine-learning-based-intrusi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems}}, year = {2026}, url = {https://4ort.xyz/entity/a-simulation-driven-computational-framework-for-adaptive-energy-efficient-optimization-in-machine-learning-based-intrusi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems — https://4ort.xyz/entity/a-simulation-driven-computational-framework-for-adaptive-energy-efficient-optimization-in-machine-learning-based-intrusi (retrieved 2026-05-24)
