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On the effects of cognitive mobility prediction in wireless multi-hop ad hoc networks.

, , and . ICC, page 1638-1644. IEEE, (2014)

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Mobile Relays for Smart Cities: Mathematical Proofs., , , and . CoRR, (2016)Matching between physiological sensor and smartphone based on RR intervals time series., and . ICC Workshops, page 294-299. IEEE, (2015)CARMEN: a cognitive networking testbed on android OS devices., , , and . IEEE Communications Magazine, 52 (9): 98-107 (2014)Data Acquisition through Joint Compressive Sensing and Principal Component Analysis., , , , , and . GLOBECOM, page 1-6. IEEE, (2009)On the Effectiveness of Deep Representation Learning: The Atrial Fibrillation Case., , , , and . Computer, 52 (11): 18-29 (2019)A Wireless Vehicle-based mobile network infrastructure designed for smarter cities., , , , and . Ad Hoc Networks, (2019)Prediction of atrial fibrillation from at-home single-lead ECG signals without arrhythmias., , , , , , and . npj Digit. Medicine, (2023)WSN-Control: Signal reconstruction through Compressive Sensing in Wireless Sensor Networks., , , , and . LCN, page 921-928. IEEE Computer Society, (2010)Analytics Pipeline for Left Ventricle Segmentation and Volume Estimation on Cardiac MRI Using Deep Learning., , , , , , , , , and 3 other author(s). eScience, page 305-306. IEEE Computer Society, (2018)On the effects of cognitive mobility prediction in wireless multi-hop ad hoc networks., , and . ICC, page 1638-1644. IEEE, (2014)