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pro vyhledávání: '"Lee, Stephen P."'
Serverless computing is an emerging cloud computing abstraction wherein the cloud platform transparently manages all resources, including explicitly provisioning resources and geographical load balancing when the demand for service spikes. Users prov
Externí odkaz:
http://arxiv.org/abs/2409.03029
Autor:
Lee, Stephen A, Leconte, Alexis, Wu, Alice, Kinugasa, Joshua, Poree, Jonathan, Linninger, Andreas, Provost, Jean
The brain's microvascular cerebral capillary network plays a vital role in maintaining neuronal health, yet capillary dynamics are still not well understood due to limitations in existing imaging techniques. Here, we present Single Capillary Reporter
Externí odkaz:
http://arxiv.org/abs/2407.07857
Autor:
Duporge, Isla, Kholiavchenko, Maksim, Harel, Roi, Wolf, Scott, Rubenstein, Dan, Crofoot, Meg, Berger-Wolf, Tanya, Lee, Stephen, Barreau, Julie, Kline, Jenna, Ramirez, Michelle, Stewart, Charles
Using drones to track multiple individuals simultaneously in their natural environment is a powerful approach for better understanding group primate behavior. Previous studies have demonstrated that it is possible to automate the classification of pr
Externí odkaz:
http://arxiv.org/abs/2405.17698
Autor:
Mougharbel, Michael, Porée, Jonathan, Lee, Stephen A., Xing, Paul, Wu, Alice, Tardif, Jean-Claude, Provost, Jean
Various methods have been proposed to enhance image quality in ultrafast ultrasound. Coherent compounding can improve image quality using multiple steered diverging transmits when motion occurring between transmits is corrected for. Harmonic imaging,
Externí odkaz:
http://arxiv.org/abs/2312.01628
Autor:
Desmarais, Samuel, Ramos-Palacios, Gerardo, Poree, Jonathan, Lee, Stephen A., Leconte, Alexis, Sadikot, Abbas F., Provost, Jean
Linking cavitation and anatomy was found to be important for predictable outcomes in Focused-Ultrasound Blood-Brain-Barrier-Opening and requires high resolution cavitation mapping. However, cavitation mapping techniques for planning and monitoring of
Externí odkaz:
http://arxiv.org/abs/2308.03287
Emerging Internet of Things (IoT) and mobile computing applications are expected to support latency-sensitive deep neural network (DNN) workloads. To realize this vision, the Internet is evolving towards an edge-computing architecture, where computin
Externí odkaz:
http://arxiv.org/abs/2210.01402
Autor:
Rezaei, Yoones, Lee, Stephen
Three-dimensional (3D) urban models have gained interest because of their applications in many use-cases such as urban planning and virtual reality. However, generating these 3D representations requires LiDAR data, which are not always readily availa
Externí odkaz:
http://arxiv.org/abs/2205.12464
Autor:
Shi, Han, Gao, Jiahui, Xu, Hang, Liang, Xiaodan, Li, Zhenguo, Kong, Lingpeng, Lee, Stephen M. S., Kwok, James T.
Recently over-smoothing phenomenon of Transformer-based models is observed in both vision and language fields. However, no existing work has delved deeper to further investigate the main cause of this phenomenon. In this work, we make the attempt to
Externí odkaz:
http://arxiv.org/abs/2202.08625
Publikováno v:
Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation November 2021 Pages 81-90
Advances in deep vision techniques and ubiquity of smart cameras will drive the next generation of video analytics. However, video analytics applications consume vast amounts of energy as both deep learning techniques and cameras are power-hungry. In
Externí odkaz:
http://arxiv.org/abs/2202.08973
Autor:
Jebeli, Seyyed Ali Hosseini, West, Claire A., Lee, Stephen A., Goldwyn, Harrison J., Bilchak, Connor R., Fakhraai, Zahra, Willets, Katherine A., Link, Stephan, Masiello, David J.
While the thermal and electromagnetic properties of plasmonic nanostructures are well understood, nanoscale thermometry still presents an experimental and theoretical challenge. Plasmonic structures can confine electromagnetic energy at the nanoscale
Externí odkaz:
http://arxiv.org/abs/2103.08621