Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models

Research article (Sensors, 2023) · cited 59× · AI/ML
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Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models

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Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-smart-home-security-anomaly-detection-and-face-recognition-in-smart-home-iot-devices-using-logit-boosted-cnn-m
MLA “Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-smart-home-security-anomaly-detection-and-face-recognition-in-smart-home-iot-devices-using-logit-boosted-cnn-m.
BibTeX @misc{4ortxyz_enhancing-smart-home-security-anomaly-detection-and-face-recognition-in-smart-home-iot-devices-using-logit-boosted-cnn-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-smart-home-security-anomaly-detection-and-face-recognition-in-smart-home-iot-devices-using-logit-boosted-cnn-m}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Smart Home Security: Anomaly Detection and Face Recognition in Smart Home IoT Devices Using Logit-Boosted CNN Models — https://4ort.xyz/entity/enhancing-smart-home-security-anomaly-detection-and-face-recognition-in-smart-home-iot-devices-using-logit-boosted-cnn-m (retrieved 2026-05-24)

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