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Decentralized localization using fingerprinting and kernel methods inwireless sensor networks.

, , , , and . EUSIPCO, page 1-5. IEEE, (2013)

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Fingerprinting-based localization using accelerometer information in wireless sensor networks., , and . GLOBECOM, page 510-515. IEEE, (2013)Diffusion strategies for in-network principal component analysis., , , , and . MLSP, page 1-6. IEEE, (2014)Zoning-based localization in indoor sensor networks using belief functions theory., , and . SPAWC, page 1-5. IEEE, (2016)Data fusion for predicting ARDS using the MIMIC II physiological database., , , , , and . HealthCom, page 1-5. IEEE, (2016)Doppler Radar System for In-Home Gait Characterization using Wavelet Transform Analysis., , , and . EMBC, page 6081-6084. IEEE, (2019)Target Localization using Machine Learning and Belief Functions: Application for Elderly People in Indoor Environments., , and . ISCC, page 1-6. IEEE, (2019)Mobility using first and second derivatives for kernel-based regression in wireless sensor networks., , , , and . IWSSIP, page 203-206. IEEE, (2014)A Weighted Kernel-Based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless Networks., , and . SPAWC, page 1-5. IEEE, (2018)Localization of Sensors in Indoor Wireless Networks: An Observation Model Using WiFi RSS., , and . NTMS, page 1-5. IEEE, (2018)Measurement of Gait Speed using a Doppler Radar: Influence of Acceleration and Deceleration Zones., , , and . SAS, page 1-5. IEEE, (2019)