An Edge-Cloud Collaborative Architecture for Proactive Elderly Care: Real-Time Risk Assessment and Three-Level Emergency Response
arXiv 2604.14154•41f02110fed0878633827cd47154fa721026fead70d4231777d219969adf4b25
5G-6GAFDMAoADopplerFDOAISACIoTRF-localizationRFIDanomaly-detectionbeam-squintbeamformingedge-computingeldercarefew-shot-learningfoundation-models','batch-effects','neuroimaging','machine-learninstantaneous-frequencylimited-feedbackphase-estimationprivacyprototypical-networksraspberry-pireal-timesensor-fusionsignal-processing
Paper metadata
- arXiv ID
- 2604.14154
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 41f02110fed0878633827cd47154fa721026fead70d4231777d219969adf4b25
- Enrichment time
- 2026-04-17T08:51:41Z
- AI-assisted enrichment
- Yes
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