Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Alphan Altinok"'
Publikováno v:
The Planetary Science Journal, Vol 5, Iss 7, p 167 (2024)
One of the main objectives of the Mars Exploration Program is to search for evidence of past or current life on the planet. To achieve this, Mars exploration has been focusing on regions that may have liquid or frozen water. A set of critical areas m
Externí odkaz:
https://doaj.org/article/6074746b49444c2e81af881f670cd994
Autor:
Peter B. Gibson, William E. Chapman, Alphan Altinok, Luca Delle Monache, Michael J. DeFlorio, Duane E. Waliser
Publikováno v:
Communications Earth & Environment, Vol 2, Iss 1, Pp 1-13 (2021)
Seasonal forecasting skill in machine learning methods that are trained on large climate model ensembles can compete with, or out-compete, existing dynamical models, while retaining physical interpretability.
Externí odkaz:
https://doaj.org/article/91735fc8166e455f88e2a5b2a1307447
Autor:
Ting Li, An Yan, Neha Bhatia, Alphan Altinok, Eldad Afik, Pauline Durand-Smet, Paul T. Tarr, Julian I. Schroeder, Marcus G. Heisler, Elliot M. Meyerowitz
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
Auxin transport and microtubule orientation respond to mechanical stimulation at the shoot apical meristem. Here Li et al. show that mechanical stimulation causes cytosolic calcium concentration transients, and preventing such changes impairs reorien
Externí odkaz:
https://doaj.org/article/6ab54a1d6b9c455190a3d49dd1cdc29b
Autor:
Alphan Altinok, Luca Delle Monache, Michael J. DeFlorio, Peter B. Gibson, W. Chapman, Duane E. Waliser
Publikováno v:
Communications Earth & Environment, Vol 2, Iss 1, Pp 1-13 (2021)
A barrier to utilizing machine learning in seasonal forecasting applications is the limited sample size of observational data for model training. To circumvent this issue, here we explore the feasibility of training various machine learning approache
Autor:
Ajay Goel, Asitang Mishra, Luca Cinquini, Christopher I. Amos, Christos Patriotis, David Liu, Sudhir Srivastava, Ashish Mahabal, Heather Kincaid, Kristen Anton, Maureen Colbert, Daniel J. Crichton, Santiago Lombeyda, Alphan Altinok, Ziding Feng, Sean Kelly
Publikováno v:
Cancer Cell. 38:757-760
Cancer biomarker research has become a data-intensive discipline requiring innovative approaches for data analysis that can combine traditional and data-driven methods. Significant leveraging can be done transferring methodologies and capabilities ac
Autor:
Christophe Taillan, Alphan Altinok, Gwendoline Blanchet, Romain Goeury, Nga T. Chung, Sophie Ricci, Simon Baillarin, Thanh-Huy Nguyen, Thomas S. Huang, Peter Kettig, Alix Roumagnac, Guillaume Valladeau
Publikováno v:
IGARSS
Floods are the most common natural disasters all over the world. The space climate observatory (SCO)-FloodDAM project aims at utilizing the capabilities of new observing strategies in order to better alert, detect and map flood events globally. Lever
Autor:
Pauline Durand-Smet, Neha Bhatia, An Yan, Eldad Afik, Ting Li, Julian I. Schroeder, Alphan Altinok, Elliot M. Meyerowitz, Paul T. Tarr, Marcus G. Heisler
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
Nature Communications
Nature Communications
In plants mechanical signals pattern morphogenesis through the polar transport of the hormone auxin and through regulation of interphase microtubule (MT) orientation. To date, the mechanisms by which such signals induce changes in cell polarity remai
Publikováno v:
2018 Aviation Technology, Integration, and Operations Conference.
Autor:
Alphan Altinok, Joshua Doubleday, David R. Thompson, Steve Chien, Benjamin Bornstein, John Bellardo
Publikováno v:
Journal of Field Robotics. 33:187-204
Automatic cloud recognition promises significant improvements in Earth science remote sensing. At any time, more than half of Earth's surface is covered by clouds, obscuring images and atmospheric measurements. This is particularly problematic for Cu
Autor:
John Bellardo, David R. Thompson, Joshua Doubleday, Alphan Altinok, Kiri L. Wagstaff, Ben Bornstein, Steve Chien
Publikováno v:
AI Matters. 1:38-40