Performance Analysis of CNN Models for Mobile Device Eye Tracking with Edge Computing

Research article (Procedia Computer Science, 2022) · cited 10× · AI/ML
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Performance Analysis of CNN Models for Mobile Device Eye Tracking with Edge Computing

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Performance Analysis of CNN Models for Mobile Device Eye Tracking with Edge Computing is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Performance Analysis of CNN Models for Mobile Device Eye Tracking with Edge Computing. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-analysis-of-cnn-models-for-mobile-device-eye-tracking-with-edge-computing
MLA “Performance Analysis of CNN Models for Mobile Device Eye Tracking with Edge Computing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performance-analysis-of-cnn-models-for-mobile-device-eye-tracking-with-edge-computing.
BibTeX @misc{4ortxyz_performance-analysis-of-cnn-models-for-mobile-device-eye-tracking-with-edge-computing_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance Analysis of CNN Models for Mobile Device Eye Tracking with Edge Computing}}, year = {2026}, url = {https://4ort.xyz/entity/performance-analysis-of-cnn-models-for-mobile-device-eye-tracking-with-edge-computing}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performance Analysis of CNN Models for Mobile Device Eye Tracking with Edge Computing — https://4ort.xyz/entity/performance-analysis-of-cnn-models-for-mobile-device-eye-tracking-with-edge-computing (retrieved 2026-05-24)

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