Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Austen Groener"'
Autor:
Ryan Richards, Austen Groener
Deep learning has significantly advanced and accelerated de novo molecular generation. Generative networks, namely Variational Autoencoders (VAEs) can not only randomly generate new molecules but also alter molecular structures to optimize specific c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed8011170dee36553cb20eed428b0306
https://doi.org/10.26434/chemrxiv-2022-g3gvz
https://doi.org/10.26434/chemrxiv-2022-g3gvz
Publikováno v:
AIPR
GATR™ (Globally-scalable Automated Target Recognition) is a software system for object detection and classification on a worldwide basis developed by Lockheed Martin. One of the targets it detects are oil/gas fracking wells. In this work we explore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d62700dfdda378d7f982af9aa2376416
https://doi.org/10.1109/aipr50011.2020.9425148
https://doi.org/10.1109/aipr50011.2020.9425148
Autor:
Stephen O'Neill, Mark D. Pritt, Austen Groener, Tyler Kuhns, Andy Lam, Michael Harner, Gary Chern
Publikováno v:
AIPR
GATR (Globally-scalable Automated Target Recognition) is a Lockheed Martin software system for real-time object detection and classification in satellite imagery on a worldwide basis. GATR uses GPU-accelerated deep learning software to quickly search
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb41a3894cb532bea22bac4d3045db0d
http://arxiv.org/abs/2009.04836
http://arxiv.org/abs/2009.04836
Publikováno v:
AIPR
In this work, we compare the detection accuracy and speed of several state-of-the-art models for the task of detecting oil and gas fracking wells and small cars in commercial electro-optical satellite imagery. Several models are studied from the sing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f014b93b2699fd6983b9300a0ea9348
Scaling relations of clusters have made them particularly important cosmological probes of structure formation. In this work, we present a comprehensive study of the relation between two profile observables, concentration ($\mathrm{c_{vir}}$) and mas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::806fd3e99b65cb050f78ca22adc9837e
http://arxiv.org/abs/1510.01961
http://arxiv.org/abs/1510.01961
Autor:
Austen Groener, David M. Goldberg
Publikováno v:
The Astrophysical Journal. 795:153
We study the intrinsic shape and alignment of isodensities of galaxy cluster halos extracted from the MultiDark MDR1 cosmological simulation. We find that the simulated halos, are extremely prolate on small scales, and increasingly spherical on large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcea247ab4b15a29d9971b2cd3c44cfc
https://doi.org/10.1088/0004-637x/795/2/153
https://doi.org/10.1088/0004-637x/795/2/153
Autor:
Hemant Kumar Mehta
A complete guide for Python programmers to master scientific computing using Python APIs and tools.Key FeaturesBook DescriptionIn today's world, along with theoretical and experimental work, scientific computing has become an important part of scient
Autor:
Cher Simon
Create interpretable AI models for transparent and explainable anomaly detection with this hands-on guide Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesBuild auditable XAI models for replicability and regulatory compliance