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Gaspar data-centric framework [PDF]
, 2017 This paper presents the Gaspar data-centric framework to develop high performance parallel applications in Java. Our approach is based on data iterators and on the map pattern of computation.
D Majeti +4 more
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Frontiers in Bioengineering and Biotechnology, 2021 We present a novel and computationally efficient method for the detection of meniscal tears in Magnetic Resonance Imaging (MRI) data. Our method is based on a Convolutional Neural Network (CNN) that operates on complete 3D MRI scans. Our approach detects
Alexander Tack +4 more
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Transfer learning for ECG classification
Scientific Reports, 2021 Remote monitoring devices, which can be worn or implanted, have enabled a more effective healthcare for patients with periodic heart arrhythmia due to their ability to constantly monitor heart activity.
Kuba Weimann, Tim O. F. Conrad
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Atmosphere, 2021 Nowcasting is an important technique for weather forecasting because sudden weather changes significantly affect human life. The encoding-forecasting model, which is a state-of-the-art architecture in the field of data-driven radar extrapolation, does ...
Chang Hoo Jeong +4 more
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Infectious disease outbreak prediction using media articles with machine learning models
Scientific Reports, 2021 When a newly emerging infectious disease breaks out in a country, it brings critical damage to both human health conditions and the national economy. For this reason, apprehending which disease will newly emerge, and preparing countermeasures for that ...
Juhyeon Kim, Insung Ahn
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On the Collaborative Use of EV Charging Infrastructures in the Context of Commercial Real Estate
World Electric Vehicle Journal, 2022 Resource sharing in general is a means of solving the problem of infrequent and, thus, inefficient utilization of expensive or scarce resources. In this paper, we present an approach to run shared EV-charging infrastructures in the context of commercial ...
Joela Gauss +2 more
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Volumetric macromolecule identification in cryo-electron tomograms using capsule networks
BMC Bioinformatics, 2022 Background Despite recent advances in cellular cryo-electron tomography (CET), developing automated tools for macromolecule identification in submolecular resolution remains challenging due to the lack of annotated data and high structural complexities ...
Noushin Hajarolasvadi +5 more
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Toward the Implementation of MPTCP Over mmWave 5G and Beyond: Analysis, Challenges, and Solutions
IEEE Access, 2023 5G and beyond 5G networks are going to be an inseparable part of human lives in the future. They will dominate any aspects of everyday activities from smart homes, remote surgery, and smart cities to autonomous driving, which demand high throughput ...
Reza Poorzare, Oliver P. Waldhorst
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A System for the Efficient Charging of EV Fleets
World Electric Vehicle Journal, 2023 Smart charging is a means of monitoring and actively controlling EV chargers to optimize the distribution and consumption of energy with a focus on peak-load avoidance.
Tobias Fleck +2 more
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Statistical Learning of Facial Expressions Improves Realism of Animated Avatar Faces
Frontiers in Virtual Reality, 2021 A high realism of avatars is beneficial for virtual reality experiences such as avatar-mediated communication and embodiment. Previous work, however, suggested that the usage of realistic virtual faces can lead to unexpected and undesired effects ...
C. Martin Grewe +4 more
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