Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Sriram, Srinivasan"'
Autor:
Tyson L Swetnam, Parker B Antin, Ryan Bartelme, Alexander Bucksch, David Camhy, Greg Chism, Illyoung Choi, Amanda M Cooksey, Michele Cosi, Cindy Cowen, Michael Culshaw-Maurer, Robert Davey, Sean Davey, Upendra Devisetty, Tony Edgin, Andy Edmonds, Dmitry Fedorov, Jeremy Frady, John Fonner, Jeffrey K Gillan, Iqbal Hossain, Blake Joyce, Konrad Lang, Tina Lee, Shelley Littin, Ian McEwen, Nirav Merchant, David Micklos, Andrew Nelson, Ashley Ramsey, Sarah Roberts, Paul Sarando, Edwin Skidmore, Jawon Song, Mary Margaret Sprinkle, Sriram Srinivasan, Dan Stanzione, Jonathan D Strootman, Sarah Stryeck, Reetu Tuteja, Matthew Vaughn, Mojib Wali, Mariah Wall, Ramona Walls, Liya Wang, Todd Wickizer, Jason Williams, John Wregglesworth, Eric Lyons
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 2, p e1011270 (2024)
CyVerse, the largest publicly-funded open-source research cyberinfrastructure for life sciences, has played a crucial role in advancing data-driven research since the 2010s. As the technology landscape evolved with the emergence of cloud computing pl
Externí odkaz:
https://doaj.org/article/1356553c72cc4571a1e895ffbd6963c1
Autor:
Priyankar Bose, Pratip Rana, William C. Sleeman, Sriram Srinivasan, Rishabh Kapoor, Jatinder Palta, Preetam Ghosh
Publikováno v:
BioMedInformatics, Vol 3, Iss 3, Pp 493-513 (2023)
Physicians often label anatomical structure sets in Digital Imaging and Communications in Medicine (DICOM) images with nonstandard random names. Hence, the standardization of these names for the Organs at Risk (OARs), Planning Target Volumes (PTVs),
Externí odkaz:
https://doaj.org/article/4c5cd532d66047d1beef2232096f4d3d
Akademický článek
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Autor:
Abbas Saifee Valsadwala, Sriram Srinivasan, Surya Rajan Balachandran, S Shamshath Begum, Asit Baran Samui, Sandeep Kumar Shukla
Publikováno v:
Materials Research Express, Vol 11, Iss 10, p 105308 (2024)
In this study, the shell powder of Littorina littorea commonly called periwinkle was used as an eco-friendly filler in High-Density Polyethylene (HDPE) to form periwinkle/HDPE composites (PHPC). Understanding the effect of different particle sizes of
Externí odkaz:
https://doaj.org/article/61d6b4eb38a242ec9bde4470cc319b86
Autor:
Heess, Nicolas, TB, Dhruva, Sriram, Srinivasan, Lemmon, Jay, Merel, Josh, Wayne, Greg, Tassa, Yuval, Erez, Tom, Wang, Ziyu, Eslami, S. M. Ali, Riedmiller, Martin, Silver, David
The reinforcement learning paradigm allows, in principle, for complex behaviours to be learned directly from simple reward signals. In practice, however, it is common to carefully hand-design the reward function to encourage a particular solution, or
Externí odkaz:
http://arxiv.org/abs/1707.02286
Autor:
Sriram Srinivasan, MBBS, MCh, FRCS (Tr & Orth), FEBOT, Rohi Shah, BMBS, BMedSci, MRCS, MSc SEM, Faizal Rayan, MBBS, D Ortho, MRCSEd, MBA, David Ensor, MBBS, BSc, Sharan Sambhwani, MHChB, MRCS, Dipen K. Menon, MS Orth, MCh Orth, FRCS (Eng) Tr & Orth
Publikováno v:
Arthroplasty Today, Vol 6, Iss 4, Pp 755-760 (2020)
Varus malalignment in total hip arthroplasty has been associated with poor long-term outcomes and complications including abnormal load distribution, endosteal osteolysis, frank loosening, and periprosthetic fractures. Postoperative radiographic asse
Externí odkaz:
https://doaj.org/article/7d06d68c076c4e3f8104d3a3c264d99a
Adversarial Defense: DGA-Based Botnets and DNS Homographs Detection Through Integrated Deep Learning
Publikováno v:
IEEE Transactions on Engineering Management. 70:249-266
Cybercriminals use domain generation algorithms (DGAs) to prevent their servers from being potentially blacklisted or shut down. Existing reverse engineering techniques for DGA detection is labor intensive, extremely time-consuming, prone to human er
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::808345db51310005c135d6ee725f3d84
https://doi.org/10.1109/tem.2021.3059664
https://doi.org/10.1109/tem.2021.3059664
A Survey on Recent Named Entity Recognition and Relationship Extraction Techniques on Clinical Texts
Autor:
Priyankar Bose, Sriram Srinivasan, William C. Sleeman, Jatinder Palta, Rishabh Kapoor, Preetam Ghosh
Publikováno v:
Applied Sciences, Vol 11, Iss 18, p 8319 (2021)
Significant growth in Electronic Health Records (EHR) over the last decade has provided an abundance of clinical text that is mostly unstructured and untapped. This huge amount of clinical text data has motivated the development of new information ex
Externí odkaz:
https://doaj.org/article/1b6c318e91d64b72a0c147e818a72a6d
Autor:
Ghosh, Priyankar Bose, Pratip Rana, William C. Sleeman, Sriram Srinivasan, Rishabh Kapoor, Jatinder Palta, Preetam
Publikováno v:
BioMedInformatics; Volume 3; Issue 3; Pages: 493-513
Physicians often label anatomical structure sets in Digital Imaging and Communications in Medicine (DICOM) images with nonstandard random names. Hence, the standardization of these names for the Organs at Risk (OARs), Planning Target Volumes (PTVs),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::b760e50cc2085764eac3f941a3c0f20e
Autor:
Priyankar Bose, Pratip Rana, William C. Sleeman IV, Sriram Srinivasan, Rishabh Kapoor, Jatinder Palta, Preetam Ghosh
Physicians often label anatomical structure sets in Digital Imaging and Communications in Medicine (DICOM) images with nonstandard names. As these names vary widely, the standardization of the nonstandard names in the Organs at Risk (OARs), Planning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43c83a0fa2ef95162c2db14ae151a50f
https://doi.org/10.20944/preprints202304.1077.v1
https://doi.org/10.20944/preprints202304.1077.v1