Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Matthew Moocarme"'
Get started with TensorFlow fundamentals to build and train deep learning models with real-world data, practical exercises, and challenging activitiesKey FeaturesUnderstand the fundamentals of tensors, neural networks, and deep learningDiscover how t
Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning modelsKey FeaturesGet to grips with various model evaluation metrics, including sensitivity, specificity, and AUC scor
Take your neural networks to a whole new level with the simplicity and modularity of Keras, the most commonly used high-level neural networks API.Key FeaturesSolve complex machine learning problems with precisionEvaluate, tweak, and improve your deep
Autor:
Xiang-Tian Kong, Paulina Librizzi, Luat T. Vuong, Roger Chang, Gaurav Ahuja, Ilona Kretzschmar, Matthew Moocarme, Aneek Biswas
Publikováno v:
Nanoscale. 12(6)
There is significant interest in the utility of asymmetric nanoaperture arrays as substrates for the surface-enhanced detection, fluorescence, and imaging of individual molecules. This work introduces obliquely-cut, out-of-plane, coaxial layered stru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77cbd94b9d595717baa5835296426530
https://pubmed.ncbi.nlm.nih.gov/31995089
https://pubmed.ncbi.nlm.nih.gov/31995089
Cut through the noise and get real results with a step-by-step approach to understanding deep learning with Keras programming Key Features Ideal for those getting started with Keras for the first time A step-by-step Keras tutorial with exercises and
Publikováno v:
Scientific Reports
The response of an individual meta-atom is often generalized to explain the collective response of a metasurface in a manner that neglects the interactions between meta-atoms. Here, we study a metasurface composed of tilted achiral meta-atoms with no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca11623503d2dd7b7972d9cfbda8e378
Autor:
Matthew Moocarme, Roger Chang, Luat T. Vuong, Ilona Kretzschmar, Vinod M. Menon, Nicholas V. Proscia
Publikováno v:
Optics express. 24(10)
The Photon Drag Effect (PDE) is a nonlinear process akin to optical rectification in which the momentum of light is transferred to charged carriers and converted to a DC voltage. Here, we experimentally demonstrate the spin-polarized voltage, associa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c064a61ea8a77b0ab83f053ba40d3e2
https://pubmed.ncbi.nlm.nih.gov/27409864
https://pubmed.ncbi.nlm.nih.gov/27409864
Autor:
Heriberto Vasquez Carrasco, Luat T. Vuong, Matthew Moocarme, Nicholas V. Proscia, Joseph Hui, Steven Vallone
Publikováno v:
Journal of Heat Transfer. 138
A laser propagating through a metal nanocolloid exhibits a far-field fringe pattern that is the signature of its optical and thermally induced response. Here, we directly exploit the sensitive far-field features to measure the thermo-optic coefficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35df6a81f7ba104c7a26ea756e1011e4
https://doi.org/10.1115/1.4033328
https://doi.org/10.1115/1.4033328
Autor:
Matthew Moocarme, Luat T. Vuong
Publikováno v:
Optics express. 23(22)
When plane waves diffract through fractal-patterned apertures, the resulting far-field profiles or diffractals also exhibit iterated, self-similar features. Here we show that this specific architecture enables robust signal transmission and spatial m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b0596275ea79d538f551768f663d426
https://pubmed.ncbi.nlm.nih.gov/26561118
https://pubmed.ncbi.nlm.nih.gov/26561118
Autor:
Luat T. Vuong, Matthew Moocarme
Publikováno v:
2015 IEEE Photonics Conference (IPC).
We demonstrate several properties of the fractal architecture that are exploitable for optical signals processing, notably robust spatial multiplexing. Any fraction of a received signal will completely recreate a signal transmitted with a fractal arc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::902783984578976a573a0f6441fcc1e1
https://doi.org/10.1109/ipcon.2015.7323687
https://doi.org/10.1109/ipcon.2015.7323687