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Application of a temporal convolutional network algorithm fused with channel attention module for UWB indoor positioning. [PDF]
He L +5 more
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Culturally aware mentoring interventions create enduring changes among graduate biomedical faculty. [PDF]
Byars-Winston A +6 more
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Lightweight Deep Learning for Automated Dental Caries Screening from Pediatric Oral Photographs. [PDF]
Alangari N, AlShenaifi N.
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Long-term stability of ocular function after alloplastic computer-aided design/computer-aided manufacturing reconstruction of posttraumatic orbital defects: a retrospective cohort study. [PDF]
Skade S +8 more
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An explainable deep learning framework for video violence detection using unsupervised keyframe selection and attention-based CNN. [PDF]
Azim R +3 more
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Proceedings of the 2019 on Designing Interactive Systems Conference, 2019
The home is a rich context for design research to study things and the Everyday. However, home is also a place of utmost privacy for most people. To better understand this context through an observational artifact without impacting privacy, we designed the Peekaboo cam that enables inhabitants to control their data release actively or passively.
Cheng, Yu-Ting +3 more
openaire +2 more sources
The home is a rich context for design research to study things and the Everyday. However, home is also a place of utmost privacy for most people. To better understand this context through an observational artifact without impacting privacy, we designed the Peekaboo cam that enables inhabitants to control their data release actively or passively.
Cheng, Yu-Ting +3 more
openaire +2 more sources
Cam And Cam-Follower Reliability
SAE Technical Paper Series, 1988<div class="htmlview paragraph">The paper describes the earlier research on cam and cam-follower materials carried out by MIRA using a specially developed, test machine. A table summarising the results of this earlier work is given.</div> <div class="htmlview paragraph">The use of the same test machine to assess the performance of ...
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Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing, 2012
MapReduce has emerged as a prevailing distributed computation paradigm for enterprise and large-scale data-intensive computing. The model is also increasingly used in the massively-parallel cloud environment, where MapReduce jobs are run on a set of virtual machines (VMs) on pay-as-needed basis.
Min Li +4 more
openaire +2 more sources
MapReduce has emerged as a prevailing distributed computation paradigm for enterprise and large-scale data-intensive computing. The model is also increasingly used in the massively-parallel cloud environment, where MapReduce jobs are run on a set of virtual machines (VMs) on pay-as-needed basis.
Min Li +4 more
openaire +2 more sources

