Machine learning‐based edge‐computing on a multi‐level architecture of WSN and IoT for real‐time fall detection

Research article (IET Wireless Sensor Systems, 2020) · cited 24× · AI/ML
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Machine learning‐based edge‐computing on a multi‐level architecture of WSN and IoT for real‐time fall detection

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Machine learning‐based edge‐computing on a multi‐level architecture of WSN and IoT for real‐time fall detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning‐based edge‐computing on a multi‐level architecture of WSN and IoT for real‐time fall detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learningbased-edgecomputing-on-a-multilevel-architecture-of-wsn-and-iot-for-realtime-fall-detection
MLA “Machine learning‐based edge‐computing on a multi‐level architecture of WSN and IoT for real‐time fall detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learningbased-edgecomputing-on-a-multilevel-architecture-of-wsn-and-iot-for-realtime-fall-detection.
BibTeX @misc{4ortxyz_machine-learningbased-edgecomputing-on-a-multilevel-architecture-of-wsn-and-iot-for-realtime-fall-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning‐based edge‐computing on a multi‐level architecture of WSN and IoT for real‐time fall detection}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learningbased-edgecomputing-on-a-multilevel-architecture-of-wsn-and-iot-for-realtime-fall-detection}, note = {Accessed: 2026-05-24}}
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