Initial experience with the fourth generation MitraClip™: Outcomes, procedural aspects, and considerations for device selection
Sign Up to like & getrecommendations! Published in 2021 at "Catheterization and Cardiovascular Interventions"
DOI: 10.1002/ccd.29705
Abstract: We present our initial experience with the fourth‐generation MitraClip™ (G4) system and propose preliminary criteria for device selection. read more here.
Keywords: initial experience; generation mitraclip; experience fourth; device selection ... See more keywords
Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3196683
Abstract: The joint provision of higher data rates and massive Internet of Things (IoT) connectivity has been identified as one of the key milestones toward beyond 5G (B5G). To this end, we investigate the issue of… read more here.
Keywords: selection beamforming; device selection; large scale; beamforming optimization ... See more keywords
Online-Learning-Based Fast-Convergent and Energy-Efficient Device Selection in Federated Edge Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3222234
Abstract: As edge computing faces increasingly severe data security and privacy issues of edge devices, a framework called federated edge learning (FEL) has recently been proposed to enable machine learning (ML) model training at the edge,… read more here.
Keywords: device selection; energy; edge; federated edge ... See more keywords
Joint Device Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Industrial Internet of Things
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3233595
Abstract: Along with the deployment of Industrial Internet of Things (IIoT), massive amounts of industrial data have been generated at the network edge, driving the evolution of edge machine learning (ML). But during the ML model… read more here.
Keywords: federated learning; cost; device selection; industrial internet ... See more keywords
Inhaled formulation and device selection: bridging the gap between preclinical species and first-in-human studies.
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DOI: 10.4155/tde-2000-0000
Abstract: The factors that influence inhaled first-in-human (FIH) device and formulation selection often differ significantly from the factors that have influenced the preceding preclinical experiments and inhalation toxicology work. In order to minimize the risk of… read more here.
Keywords: formulation; preclinical species; device selection; first human ... See more keywords