Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Srijan Das"'
Publikováno v:
Journal of Natural Fibers, Vol 19, Iss 15, Pp 11138-11152 (2022)
This research work focuses on the measurement of the air resistivity property of jute nonwoven through a simple approach. The Box-Behnken design of experiment (DOE) involved 15 jute nonwovens to study the influence of process parameters of needle non
Externí odkaz:
https://doaj.org/article/869488833acb4cc0bf49d247dd5af080
Autor:
Rui Dai, Srijan Das, Saurav Sharma, Luca Minciullo, Lorenzo Garattoni, Francois Bremond, Gianpiero Francesca
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, inPress, ⟨10.1109/tpami.2022.3169976⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, inPress, ⟨10.1109/tpami.2022.3169976⟩
Designing activity detection systems that can be successfully deployed in daily-living environments requires datasets that pose the challenges typical of real-world scenarios. In this paper, we introduce a new untrimmed daily-living dataset that feat
Autor:
Srijan Das, Ashesh Kumar Jha, Manoj Kumar, Prashant Kumar Singh, Shiv Shankar Paswan, Chandan Kumar Jha, Deepak Kumar, Kiran Jyoth, Mrthyunjayani Sharma
Publikováno v:
The American Journal of Surgery.
Publikováno v:
Smart and Functional Textiles ISBN: 9783110759747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::785aea30f831e6222165dda246d139e9
https://doi.org/10.1515/9783110759747-015
https://doi.org/10.1515/9783110759747-015
Publikováno v:
The American Journal of Surgery.
Autor:
Shereen Adbulla, Suzan Anwar, Rossana Buongiorno, Rosario Catelli, Sara Colantonio, Leonardo Colligiani, Carmela Comito, Srijan Das, Girirajasekhar Dornadula, Massimo Esposito, Salvatore Claudio Fanni, Danila Germanese, Lakshmi Narasimha Gunturu, Rajani Sudhir Kamath, Sreekantha Desai Karanam, Dmitriy Klyushin, Raja Vittal Rao Kulkarni, Silicia Lomax, Mariofanna Milanova, Saja Ataallah Muhammed, Raghavendra Naveen Nimbagal, Andrea Pota, Marco Pota, Ayla Gerk Rangel, Chiara Romei
Publikováno v:
Artificial Intelligence in Healthcare and COVID-19 ISBN: 9780323905312
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::540c0a8621d26a6c292f9934c75f6e8b
https://doi.org/10.1016/b978-0-323-90531-2.00011-4
https://doi.org/10.1016/b978-0-323-90531-2.00011-4
Publikováno v:
Artificial Intelligence in Healthcare and COVID-19 ISBN: 9780323905312
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41fa58bbfe69173b8dab6b6f07613fe0
https://doi.org/10.1016/b978-0-323-90531-2.00004-7
https://doi.org/10.1016/b978-0-323-90531-2.00004-7
Publikováno v:
Surgery.
Publikováno v:
CVPR-Conference on Computer Vision and Pattern Recognition
CVPR-Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States
HAL
CVPR-Conference on Computer Vision and Pattern Recognition, Jun 2022, New Orleans, United States
HAL
Action detection is an essential and challenging task, especially for densely labelled datasets of untrimmed videos. The temporal relation is complex in those datasets, including challenges like composite action, and co-occurring action. For detectin
Publikováno v:
Journal of genetics. 101
Many different laboratory studies of adaptation to larval crowding in