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A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks
Research article (Sensors, 2022) · cited 72× · AI/ML
A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks
Summary
A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks is a scholarly article[1].
Key Facts
A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks'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). A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-detection-and-multi-classification-approach-for-iot-malware-using-random-forest-voting-of-fine-tuning-convolutio
MLA“A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-detection-and-multi-classification-approach-for-iot-malware-using-random-forest-voting-of-fine-tuning-convolutio.
BibTeX@misc{4ortxyz_a-novel-detection-and-multi-classification-approach-for-iot-malware-using-random-forest-voting-of-fine-tuning-convolutio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-detection-and-multi-classification-approach-for-iot-malware-using-random-forest-voting-of-fine-tuning-convolutio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks — https://4ort.xyz/entity/a-novel-detection-and-multi-classification-approach-for-iot-malware-using-random-forest-voting-of-fine-tuning-convolutio (retrieved 2026-05-24)
