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   Articles with "device selection" as a keyword



Initial experience with the fourth generation MitraClip™: Outcomes, procedural aspects, and considerations for device selection

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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

Design and Device Selection in a Residential PV Inverter to Improve Efficiency in Low Power

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recommendations! Published in 2024 at "IEEE Transactions on Consumer Electronics"

DOI: 10.1109/tce.2024.3433560

Abstract: Silicon Carbide (SiC) devices are becoming increasingly attractive for single-phase grid-tie Photovoltaic (PV) inverters due to their superior features of high breakdown voltage and low switching loss. Focusing on the residential PV products, this paper… read more here.

Keywords: efficiency; inverter; device selection; topology ... See more keywords

Joint Optimization of Device Selection and Resource Allocation for Multiple Federations in Federated Edge Learning

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recommendations! Published in 2024 at "IEEE Transactions on Services Computing"

DOI: 10.1109/tsc.2023.3342435

Abstract: Federated edge learning (FEEL) is a promising collaborative paradigm, which employs edge devices (EDs) to train machine learning models for a federation. It opens countless opportunities to enable edge intelligence. The increasingly diversified demands for… read more here.

Keywords: device; resource allocation; resource; device selection ... See more keywords

AI-driven decision making for intravascular device selection in aortic disease. Current insights and prospects

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recommendations! Published in 2025 at "Frontiers in Cardiovascular Medicine"

DOI: 10.3389/fcvm.2025.1585299

Abstract: Abdominal and thoracic aortic repairs increasingly rely on endovascular solutions, but device selection in anatomically complex cases remains prone to error due to measurement variability, tortuosity, short/angulated necks, and heterogeneous post-EVAR evolution. This article focuses… read more here.

Keywords: driven decision; device selection; device; decision making ... See more keywords

Inhaled formulation and device selection: bridging the gap between preclinical species and first-in-human studies.

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recommendations! Published in 2018 at "Therapeutic delivery"

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