Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Ashok N. Srivastava"'
Autor:
Ramakrishna R. Nemani, Ashok N. Srivastava, Prasad S. Thenkabail, Sangram Ganguly, K. Krishna Kumar, Hirofumi Hashimoto, Arindam Samanta, Cristina Milesi, Ranga B. Myneni
Publikováno v:
Remote Sensing, Vol 2, Iss 3, Pp 758-776 (2010)
In this study we use long-term satellite, climate, and crop observations to document the spatial distribution of the recent stagnation in food grain production affecting the water-limited tropics (WLT), a region where 1.5 billion people live and depe
Externí odkaz:
https://doaj.org/article/a5a47d1939034cf8b7dbc1d91dd3e692
Publikováno v:
Journal of Aerospace Information Systems. 16:132-147
Cell phone data can be used to implement new methods for analyzing domestic air passengers’ behavior in order to have an original description of the state of the air transportation system. By lever...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a15942db0b5262f846328177d6c34468
https://doi.org/10.2514/1.i010625
https://doi.org/10.2514/1.i010625
Autor:
Ashok N. Srivastava
Publikováno v:
Journal of Aerospace Information Systems. 13:1-4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bba69e326f6477948ea3474a7163d949
https://doi.org/10.2514/1.i010449
https://doi.org/10.2514/1.i010449
Publikováno v:
Journal of Aerospace Information Systems. 12:587-598
The airline industry is moving toward proactive risk management, which aims to identify and mitigate risks before accidents occur. However, existing methods for such efforts are limited. They rely on predefined criteria to identify risks, leaving eme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb689d6f6f1a7682e276c136af1289fe
https://doi.org/10.2514/1.i010329
https://doi.org/10.2514/1.i010329
Autor:
Ashok N. Srivastava
Publikováno v:
Journal of Aerospace Information Systems. 12:1-4
T HE Journal of Aerospace Information Systems completed the year 2014 with a strong performance with nearly 145 submissions, with an average number of days from submission to first decision of 65 days and 30 days of average turnaround time for review
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67280ccff2f1fcdd2274b435f07d80bd
https://doi.org/10.2514/1.i010370
https://doi.org/10.2514/1.i010370
From the Foreword:'While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by AshokSrivastava, Ramakrishna N
Publikováno v:
Large-Scale Machine Learning in the Earth Sciences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93ec2d91cb7102109d91888f51611883
https://doi.org/10.1201/9781315371740-4
https://doi.org/10.1201/9781315371740-4
Publikováno v:
Large-Scale Machine Learning in the Earth Sciences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::689532b21850f10fd956af74690ba9e0
https://doi.org/10.1201/9781315371740-9
https://doi.org/10.1201/9781315371740-9
Publikováno v:
Large-Scale Machine Learning in the Earth Sciences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5203cfa8afff6156c56cef341cc34568
https://doi.org/10.1201/9781315371740
https://doi.org/10.1201/9781315371740
Publikováno v:
Large-Scale Machine Learning in the Earth Sciences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6274d81322e9d0716478493940e209
https://doi.org/10.1201/9781315371740-5
https://doi.org/10.1201/9781315371740-5