Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Zahra Ronaghi"'
Publikováno v:
EPJ Web of Conferences, Vol 245, p 06003 (2020)
The success of Convolutional Neural Networks (CNNs) in image classification has prompted efforts to study their use for classifying image data obtained in Particle Physics experiments. Here, we discuss our efforts to apply CNNs to 2D and 3D image dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aca0e065e3d8e00a6292467cfb0a978
http://arxiv.org/abs/2002.05761
http://arxiv.org/abs/2002.05761
Autor:
Suhas Somnath, Peter Entschev, Zahra Ronaghi, Benjamín Hernández, John Kirkham, Hao Lu, Joe Eaton, Junqi Yin
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030633929
SMC
SMC
The explosion in the volumes of data generated from ever-larger simulation campaigns and experiments or observations necessitates competent tools for data wrangling and analysis). While the Oak Ridge Leadership Computing Facility (OLCF) provides a va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88bdbe59948c989e626cb13e558d461b
https://doi.org/10.1007/978-3-030-63393-6_24
https://doi.org/10.1007/978-3-030-63393-6_24
Publikováno v:
Wireless Personal Communications. 97:521-537
Wireless Nano Sensor Networks (WNSNs) are a dense deployment of nano sensors that communicate through electromagnetic waves over the Terahertz band (0.1–10 THz). The extreme energy, processing power and memory capacity limitation of nano-scale devi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d1fffefa8b3af436f73b8cc409fbdfd
https://doi.org/10.1007/s11277-017-4517-4
https://doi.org/10.1007/s11277-017-4517-4
Autor:
Gregery T. Buzzard, Zahra Ronaghi, Xiao Wang, Jack Deslippe, Charles A. Bouman, Simon K. Warfield, Venkatesh Sridhar, R. C. Thomas, Dilworth Y. Parkinson, Samuel P. Midkiff
Publikováno v:
SC
Computed tomography (CT) image reconstruction is a crucial technique for many imaging applications. Among various reconstruction methods, Model-Based Iterative Reconstruction (MBIR) enables super-resolution with superior image quality. MBIR, however,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c215e286e5c4bfc798c58279d654e10b
https://doi.org/10.1145/3295500.3356142
https://doi.org/10.1145/3295500.3356142
Autor:
Venkitesh Ayyar, Wahid Bhimji, Prabhat, Spencer Klein, Sally Robertson, Nick Choma, Tomasz Palczewski, Zahra Ronaghi, Lisa Gerhardt
The success of Convolutional Neural Networks (CNNs) in image classification has prompted efforts to study their use for classifying image data obtained in Particle Physics experiments. In this poster, I will discuss our efforts to apply CNNs to 3D im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e512c96aaac877905011c9404b42636
Autor:
Brandon Cook, Thorsten Kurth, Samuel Williams, Brian Friesen, Zahra Ronaghi, Leonid Oliker, Douglas W. Doerfler, Adedoyin Adetokunbo, Jack Deslippe, Rahulkumar Gayatri, Protonu Basu, Charlene Yang
Publikováno v:
2018 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC).
System and node architectures continue to diversify to better balance on-node computation, memory capacity, memory bandwidth, interconnect bandwidth, power, and cost for specific computational workloads. For many application developers, achieving per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1f829576ca7042dc8a431df2f459eee
https://doi.org/10.1109/p3hpc.2018.00005
https://doi.org/10.1109/p3hpc.2018.00005
Autor:
Prabhat Prabhat, Zahra Ronaghi, S. R. Klein, Nicholas Choma, L. Gerhardt, Joan Bruna, Wahid Bhimji, Michael M. Bronstein, Tomasz Jan Palczewski, Federico Monti
Publikováno v:
2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA)
ICMLA
ICMLA
Tasks involving the analysis of geometric (graph- and manifold-structured) data have recently gained prominence in the machine learning community, giving birth to a rapidly developing field of geometric deep learning. In this work, we leverage graph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::998dac6395d038b8f73e1149ceed61c0
Autor:
Reijo Keskitalo, Stephen Bailey, Jack Deslippe, Theodore Kisner, Zahra Ronaghi, R. C. Thomas, Julian Borrill, Doga Gursoy
Publikováno v:
PyHPC@SC
We describe a new effort at the National Energy Research Scientific Computing Center (NERSC) in performance analysis and optimization of scientific Python applications targeting the Intel Xeon Phi (Knights Landing, KNL) manycore architecture. The Pyt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::806167650a4b06f7eb6697cf5125209c
https://doi.org/10.1145/3149869.3149873
https://doi.org/10.1145/3149869.3149873
Publikováno v:
ISRN Communications and Networking. 2011:1-6
Knowledge of nodes' locations is an important requirement for many applications in Wireless Sensor Networks. In the hop-based range-free localization methods, anchors broadcast the localization messages including a hop count value to the entire netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d341790ce4682b6cf61ba582500906aa
https://doi.org/10.5402/2011/485486
https://doi.org/10.5402/2011/485486
Publikováno v:
Medical Imaging: Image-Guided Procedures
Laparoscopic surgery is a minimally invasive surgical technique where surgeons insert a small video camera into the patient's body to visualize internal organs and small tools to perform surgical procedures. However, the benefit of small incisions ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::057f289cc2c5529d3c15ec348ae4132d
https://doi.org/10.1117/12.2082224
https://doi.org/10.1117/12.2082224