An Edge-Cloud Collaborative Architecture for Proactive Elderly Care: Real-Time Risk Assessment and Three-Level Emergency Response
2026-04-17T08:51:41Z•41f02110fed0878633827cd47154fa721026fead70d4231777d219969adf4b25
5G-6GAFDMAoADopplerFDOAISACIoTRF-localizationRFIDanomaly-detectionbeam-squintbeamformingedge-computingeldercarefew-shot-learningfoundation-models','batch-effects','neuroimaging','machine-learninstantaneous-frequencylimited-feedbackphase-estimationprivacyprototypical-networksraspberry-pireal-timesensor-fusionsignal-processing
What happened
A set of recent arXiv submissions spanning edge-cloud eldercare, signal processing, wireless localization, and foundation-model analysis. Key contributions include an edge-cloud architecture for privacy-preserving, sub-3s real-time risk assessment and three-level emergency response for elderly care (multi-modal sensor fusion, Raspberry Pi gateway deployment); the JADE method for instantaneous phase/frequency estimation of non-stationary multicomponent signals; a closed-form solution for effective resistance in finite anisotropic resistor grids; a comprehensive survey of Doppler-based emitter‑/
Why it matters
A reviewed impact interpretation has not been published for this record.
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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