Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers

Research article (PeerJ Computer Science, 2022) · cited 18× · AI/ML
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Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers

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Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers is a scholarly article[1].

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  • Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers. Retrieved May 24, 2026, from https://4ort.xyz/entity/android-malware-detection-using-hybrid-anfis-architecture-with-low-computational-cost-convolutional-layers
MLA “Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/android-malware-detection-using-hybrid-anfis-architecture-with-low-computational-cost-convolutional-layers.
BibTeX @misc{4ortxyz_android-malware-detection-using-hybrid-anfis-architecture-with-low-computational-cost-convolutional-layers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers}}, year = {2026}, url = {https://4ort.xyz/entity/android-malware-detection-using-hybrid-anfis-architecture-with-low-computational-cost-convolutional-layers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Android malware detection using hybrid ANFIS architecture with low computational cost convolutional layers — https://4ort.xyz/entity/android-malware-detection-using-hybrid-anfis-architecture-with-low-computational-cost-convolutional-layers (retrieved 2026-05-24)

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