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DyHAP: Dynamic Hybrid ANFIS-PSO Approach for Predicting Mobile Malware

Research article (PLoS ONE, 2016) · cited 50× · AI/ML
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DyHAP: Dynamic Hybrid ANFIS-PSO Approach for Predicting Mobile Malware

Summary

DyHAP: Dynamic Hybrid ANFIS-PSO Approach for Predicting Mobile Malware is a scholarly article[1].

Key Facts

  • DyHAP: Dynamic Hybrid ANFIS-PSO Approach for Predicting Mobile Malware's instance of is recorded as scholarly article[2].

Related Entities

Kim-Kwang Raymond Choo

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). DyHAP: Dynamic Hybrid ANFIS-PSO Approach for Predicting Mobile Malware. Retrieved May 24, 2026, from https://4ort.xyz/entity/dyhap-dynamic-hybrid-anfis-pso-approach-for-predicting-mobile-malware
MLA “DyHAP: Dynamic Hybrid ANFIS-PSO Approach for Predicting Mobile Malware.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dyhap-dynamic-hybrid-anfis-pso-approach-for-predicting-mobile-malware.
BibTeX @misc{4ortxyz_dyhap-dynamic-hybrid-anfis-pso-approach-for-predicting-mobile-malware_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DyHAP: Dynamic Hybrid ANFIS-PSO Approach for Predicting Mobile Malware}}, year = {2026}, url = {https://4ort.xyz/entity/dyhap-dynamic-hybrid-anfis-pso-approach-for-predicting-mobile-malware}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DyHAP: Dynamic Hybrid ANFIS-PSO Approach for Predicting Mobile Malware — https://4ort.xyz/entity/dyhap-dynamic-hybrid-anfis-pso-approach-for-predicting-mobile-malware (retrieved 2026-05-24)

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